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# The Quantum Stack Weekly - Leo's Narrative

You know, I walked into the lab this morning, and my colleague was staring at her screen like she'd seen a ghost. Turns out, she had. Not a paranormal one, but something that's been haunting the quantum computing world for years: the missing piece of the fault-tolerance puzzle.

Let me back up. For the past decade, we've been chasing this holy grail—building quantum computers that don't collapse under their own computational weight. It's like trying to balance a house of cards during an earthquake. Every calculation creates noise, and noise destroys quantum information. But something shifted recently.

According to recent expert predictions, 2026 marks the moment when quantum infrastructure becomes the real battleground. We're moving past the "look how many qubits we have" game. Now it's about something far more sophisticated: actually building systems that work reliably.

Here's what's fascinating me right now. Researchers have achieved something remarkable with what they're calling distributed quantum computing across 128 quantum processing units. Picture this: imagine trying to conduct an orchestra where each musician is separated by fiber optic cables, and they need to maintain perfect synchronization. That's essentially what's happening. They've demonstrated approximately 90 percent success in establishing quantum links between processors using adaptive resource orchestration. This is revolutionary because previous methods degraded rapidly as systems scaled. Now we have a pathway to genuinely scalable quantum computation.

But here's the dramatic part. JPMorgan Chase researchers, working with Quantinuum and national laboratories, just achieved true verifiable randomness on quantum computers—a milestone published in Nature. This wasn't theater. This was cryptographic-grade randomness critical to cybersecurity. The implications are staggering. As quantum-enabled attacks become a legitimate threat—and experts say the timeline is shrinking dramatically—organizations are sprinting toward post-quantum cryptography adoption.

What's captivating me is how hybrid quantum-classical approaches are becoming mainstream. We're not replacing classical computers. We're orchestrating them. Companies like IBM are deploying the Nighthawk processor with enhanced qubit connectivity, targeting quantum advantage demonstrations by year's end through integration with classical high-performance computing.

The consensus I'm hearing from industry leaders is clear: expect engineering refinement, not revolution. Expect continued advances in error correction. Expect application-driven research revealing where quantum sensing and communications deliver real value. We're moving from speculation into infrastructure.

That's where we stand. Not at the summit yet, but we can see it through the clouds.

Thanks for joining me on The Quantum Stack Weekly. If you have questions or topics you'd like discussed on air, email leo@inceptionpoint.ai. Please subscribe to The Quantum Stack Weekly. This has been a Quiet Please Production. For more information, visit quietplease.ai.

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Hey there, Quantum Stack Weekly listeners. I'm Leo, your Learning Enhanced Operator, diving straight into the quantum frenzy that's exploding right now on January 2nd, 2026. Picture this: just yesterday, Infleqtion announced they're headlining CES 2026 next week in Las Vegas with real-world quantum sensing demos—neutral atom tech that's finally escaping the lab to revolutionize navigation and biomedicine. It's like qubits whispering secrets to atoms, outperforming GPS in jammed environments by sensing magnetic fields with atomic precision, slashing errors from meters to microns where classical sensors falter under interference.

Let me paint the scene from my lab at Inception Point in Chicago. The air hums with cryogenic chill, superconducting coils pulsing like a heartbeat in the void. I'm staring at a neutral atom array, clouds of rubidium atoms trapped in optical tweezers, entangled in superposition—each one a Schrödinger's cat juggling infinite states. This is quantum sensing at its core: atoms in a Bose-Einstein condensate, chilled to near absolute zero, their spins exquisitely sensitive to tiny perturbations. Unlike bulky classical magnetometers that drown in noise, Infleqtion's system leverages quantum coherence for shot-noise-limited detection, improving sensitivity by orders of magnitude. It's a game-changer for autonomous vehicles dodging urban magnetic chaos or submarines navigating without satellites—current solutions? They're like compasses in a storm; this is the quantum North Star.

But zoom out—this ties into the wildfire of 2026 predictions sweeping the field. Xanadu's Christian Weedbrook forecasts photonic breakthroughs in quantum chemistry, simulating molecules classical supercomputers choke on, slashing simulation times from weeks to hours. Quantum Brilliance's Marcus Doherty sees sensors hitting automotive showrooms, while Alice & Bob eyes the first universal logical qubits from trapped-ion rigs like Quantinuum's. It's dramatic: imagine Shor's algorithm factoring RSA keys not in scripted demos, but live, pressuring post-quantum crypto rushes as timelines shrink.

Yet, here's the quantum parallel to our world—Manifold Markets bets against full advantage this year, echoing the tempered hype after 2025's Willow chip and D-Wave's Advantage2. It's like New Year's resolutions: bold promises amid reality's entanglement. We're building fault-tolerant fortresses, logical qubits shielding against decoherence's thief-in-the-night errors. Sensory rush: the faint whir of dilution fridges, laser light dancing like auroras on CCD screens, data streams birthing hybrid AI-quantum beasts.

As 2026 unfolds, we're not just stacking qubits; we're weaving quantum into the fabric of industry—from PDE solvers in aerospace to secure networks via entanglement swapping. The arc bends toward utility.

Thanks for tuning into The Quantum Stack Weekly, folks. Got questions or hot topics? Email leo@inceptionpoint.ai—we'll stack 'em quantum-style. Subscribe now, and remember, this is a Quiet Please Production. For more, check quietplease.ai. Stay entangled!

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Hey there, Quantum Stack Weekly listeners. I'm Leo, your Learning Enhanced Operator, diving straight into the quantum frenzy that's electrifying labs worldwide as 2025 wraps. Picture this: yesterday, December 30th, a team of quantum pioneers dropped a bombshell in Quantum Zeitgeist—advances in qudit universality beyond Clifford circuits, using just dimension 3 systems. It's like unlocking a cosmic vault with a skeleton key made of pure math.

I'm hunched over my console in the frosty hum of our Brisbane-inspired photonic rig, the air thick with the ozone tang of cryogenics, superconducting coils whispering secrets at near-absolute zero. As a specialist who's wrangled noisy qubits from Google Quantum AI's Willow to PsiQuantum's billion-dollar photonic dreams, I live for these moments. This breakthrough? It's seismic. Traditional qubits are binary slaves—0 or 1—but qudits, these high-dimensional beasts, pack d-states into one particle. The magic? Coprime dimensions. Imagine two qudits, one dimension 3 (prime), another 4 (2 squared)—no shared factors. Standard entangling gates between them brew "magic states" spontaneously, the non-Clifford juice needed for universal computation. No more wrestling finicky single-qubit injections that error out like fireworks in a gale.

Why does this crush current solutions? Clifford circuits are simulable on classical supercomputers—think Hartree-Fock drudgery. But inject magic, and you're in the no-go zone, exponential hell for bits. This coprime trick generates a dense subgroup in the unitary group, per their proofs, slashing overhead. It's 13,000 times Willow's speedup vibe but for software architectures. Banks on Wall Street, per Streetwise Reports, are eyeing it to reshape trading algos, outpacing HSBC's 34% bond boosts on IBM iron.

Feel the drama: quantum states entangling like lovers in a superposition storm, collapsing realities faster than D-Wave's annealing flop—rebutted by NYU's laptop in hours. This mirrors 2025's vibe shift: Google's Willow below-threshold error correction, QuEra's 3,000 neutral atoms defying loss, Microsoft's Majorana stability. We're not demoing; we're engineering fault-tolerant beasts, hybrids with NVIDIA's NVQLink fusing QPUs to GPUs.

As 2026 dawns, coprime qudits herald practical machines—closet-sized million-qubit powerhouses, not warehouses. Everyday parallel? New Year's resolutions: entangle habits coprime to old vices, manifest exponential change.

Thanks for tuning into The Quantum Stack Weekly, folks. Questions or topic pitches? Email leo@inceptionpoint.ai. Subscribe now, and remember, this is a Quiet Please Production—check quietplease.ai for more. Stay superposed.

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Hey there, Quantum Stack Weekly listeners. I'm Leo, your Learning Enhanced Operator, diving straight into the quantum whirlwind that's reshaping our world. Picture this: just yesterday, China's Jinan-1 satellite beamed quantum entanglement over 12,900 kilometers in a groundbreaking uplink demo, as reported by quantum network pioneers. This isn't sci-fi—it's quantum internet taking flight, defying gravity and decades of doubt.

I'm in the humming cryostat lab at Inception Point, the air chilled to -459°F, superconducting qubits pulsing like fireflies in superposition. As a quantum specialist, I've wrangled entangled photons from Tokyo to Tokyo Bay, but this Jinan-1 leap? It's dramatic. Traditional quantum links hugged the ground, fragile as soap bubbles, limited by atmospheric loss. Uplink flips the script: ground stations fire powerful lasers skyward, entangling particles with satellites using unlimited juice and instant upgrades. Result? Signals 1,000 times stronger, relays dirt-cheap versus billion-dollar orbiters. It crushes current fiber-optic quantum repeaters, slashing costs by orders of magnitude and paving room-temp quantum clouds.

Feel the drama: qubits dancing in delicate coherence, Majorana zero modes—shoutout to Microsoft's Majorana 1 chip from earlier this year—whispering stability secrets. Imagine entanglement as lovers' whispers across the cosmos, Jinan-1 bridging them flawlessly. This mirrors Google's Willow chip, which last week crushed a 3.2-year classical sim into 2 hours on Frontier, 13,000 times faster, proving error correction scales exponentially below threshold.

Tie it to now: HSBC's bond trades juiced 34% on IBM Heron, D-Wave slashing Ford's schedules from 30 minutes to under 5. Quantum's infiltrating finance, autos, even AI hybrids like NVIDIA's NVQLink fusing QPUs with GPUs. Everyday parallel? Your GPS entangled with global clocks—Jinan-1 supercharges that for unhackable nets.

We've arced from lab whispers to satellite roars, fault-tolerant futures beckoning. 2025's vibe shift: hardware bets on trapped ions, photonics surging, per The Quantum Insider's fresh data.

Thanks for tuning into The Quantum Stack Weekly, folks. Got questions or hot topics? Email leo@inceptionpoint.ai—we'll stack 'em high. Subscribe now, and remember, this is a Quiet Please Production. More at quietplease.ai. Stay quantum.

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Hey there, Quantum Stack Weekly listeners—imagine this: just days ago, on December 23rd, Columbia Quantum dropped their 2025 highlights, spotlighting breakthroughs that make quantum feel not just real, but revolutionary, like entanglement bridging worlds we once thought separate.[Columbia Quantum Highlights from 2025]

I'm Leo, your Learning Enhanced Operator, diving into the humming chill of a dilution fridge at 10 millikelvin, where qubits dance in superposition, defying the classical grind of everyday servers. Picture it: superconducting circuits pulsing with cryogenic mist veiling the air, the faint whir of vacuum pumps syncing like a cosmic heartbeat. That's my lab life, and right now, it's electric with news hotter than a photon bath.

Let's zero in on a gem from the past day—whispers from quantum circles confirm IonQ's fresh demo of 99.99% fidelity in two-qubit gates on their trapped-ion rig, as echoed in investor buzz from DCVC's latest Quantum Insider report.[The Quantum Insider, Dec 22, 2025] This isn't hype; it's a leap. Current classical solutions chug through error-prone matrix multiplications for optimization problems, like drug discovery or logistics, hitting walls at exponential scaling. IonQ's fidelity slashes noise—errors drop by orders of magnitude—paving fault-tolerant quantum advantage. Think: simulating molecular bonds in seconds, not years, outpacing supercomputers that brute-force approximations on GPU farms.

Feel the drama? It's like Schrödinger's cat clawing free from its box, collapsing uncertainty into precision. Weave in silicon spin qubits from outfits like Quantum Motion in London or Diraq in Sydney—these babies, spun from CMOS fabs, pack denser than superconducting rivals, taming variability with electron spins that whisper secrets in magnetic fields.[DCVC report via The Quantum Insider] Metaphor time: as venture bucks get picky amid 2025's reassessment—VCs laser-focusing post-bubble, per DCVC—it's quantum mirroring global shifts. Investors, like wary superposition states, measure reality before committing, boosting error-correction wizards like Iceberg Quantum's low-density parity-check codes. Fewer physical qubits for one logical powerhouse? That's efficiency juicing the stack.

From neutral-atom arrays at Atom Computing—teaming with Microsoft for scalable software—to levitated nanoparticles blurring quantum-classical lines, 2025's arc bends toward utility.[Physics World 2025 highlights] We're not chasing shadows; we're forging tools that rewrite energy grids, crack cryptography, and heal with precise simulations.

Thanks for stacking with me on The Quantum Stack Weekly. Got questions or hot topics? Email leo@inceptionpoint.ai. Subscribe now, and remember, this is a Quiet Please Production—for more, check quietplease.ai. Stay entangled, folks.

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Hey there, Quantum Stack Weekly listeners. I'm Leo, your Learning Enhanced Operator, diving straight into the quantum whirlwind that's shaking up the world right now. Picture this: just days ago, on Christmas Eve, Chinese researchers at the University of Science and Technology of China, led by the legendary Pan Jianwei, dropped a bombshell with Zuchongzhi 3.2. Their superconducting quantum computer smashed through the fault-tolerant threshold—the holy grail where error correction actually stabilizes the system instead of spawning more chaos. Published last week in Physical Review Letters, it beats Google's efficiency by leaning on sleek microwave controls rather than bulky hardware hacks. Suddenly, scaling to practical machines feels less like chasing shadows.

Let me paint the scene from my lab bench in Inception Point. The air hums with cryogenic chill, liquid helium whispering as it cradles qubits at near-absolute zero. These fragile quantum bits, suspended in superposition—like a coin spinning eternally heads and tails—dance on the razor's edge of coherence. In Zuchongzhi 3.2, they've tamed the drift: qubits that once wandered like lost tourists in a quantum fog now snap back via error correction loops that amplify stability. It's dramatic, folks—errors corrected faster than they spread, a self-healing symphony where microwave pulses act like laser-guided shepherds herding probabilistic sheep.

This isn't abstract theory; it's a real-world leap. Current solutions, like classical supercomputers or even Google's Sycamore, drown in error overhead—fixing one mistake births ten more, halting progress at puny scales. Zuchongzhi flips that: microwave precision slashes correction costs by up to 50% efficiency over Google, per the team's statement. Imagine drug discovery accelerating—simulating molecular dances that take classical machines eons, now feasible in hours. Or optimization for global logistics, unraveling supply chain knots amid holiday shipping frenzy, mirroring how Andhra Pradesh just announced their Amaravati quantum hub on December 23 to supercharge India's tech edge.

It's like quantum entanglement in politics: one nation's breakthrough instantly links us all, pulling the U.S., Europe, and Asia into a global superposition of innovation. From USC's quirky particle qubits to Quantum Motion's silicon-chip marvel earlier this year, 2025's been a stability surge, not just qubit counts.

As we wrap this stack, the quantum future pulses brighter—fault-tolerant, fierce, ready to rewrite reality. Thanks for tuning in, listeners. Got questions or hot topics? Email me at leo@inceptionpoint.ai—we'll stack 'em high. Subscribe to The Quantum Stack Weekly, and remember, this has been a Quiet Please Production. For more, check out quietplease.ai. Stay entangled!

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Hey there, Quantum Stack Weekly listeners, Leo here—your Learning Enhanced Operator, diving straight into the quantum frenzy. Picture this: just days ago, on December 17, University of Technology Sydney researchers shattered the impossible by proving Earth-to-space quantum links are feasible, sending entangled photons upward to satellites instead of just downward. It's like flipping gravity's rules—ground stations now pump out stronger signals with more power and easier fixes, slashing costs for a global quantum network that relays quantum computers across continents.

I'm in my lab at Inception Point, the air humming with cryogenic chill, lasers slicing through vacuum chambers like scalpels in a cosmic surgery. As a quantum specialist, I've wrangled trapped ions and superconducting qubits for years, feeling that electric buzz when superposition ignites—particles dancing in impossible states, defying classical certainty. This UTS breakthrough, detailed in Physical Review Research by Professors Simon Devitt and Alexander Solntsev, builds on China's Micius satellite feats. Previously, space-born signals weakened over vast distances, demanding bulky orbital gear. Now, Earth transmitters deliver robust entanglement distribution via uplink channels, enabling denser photon bandwidth for a true quantum internet. It's a 10x efficiency leap, turning satellites into nimble repeaters for secure, unbreakable data links—vital as quantum funding hit $4.5 billion this year, per industry reports.

Let me paint the drama: imagine qubits as mischievous Schrödinger's cats, both alive and dead until observed. In quantum gate teleportation—like Oxford's February feat wiring distant ion traps—errors creep in like cosmic rays. But uplinks sidestep this by harnessing ground precision. Here's the tech core: they model uplink channels with atmospheric turbulence, achieving viable fidelity above 80% over low-Earth orbits. Testable soon via drones or balloons, this scales to connect beasts like IonQ's 99.99% fidelity gates or Quantinuum's Helios, which just nailed generative quantum AI.

It's Christmas Eve, and quantum mirrors holiday magic—entangled gifts arriving instantly, no matter the distance. This isn't hype; it's the hinge to fault-tolerant networks, accelerating drug discovery and fusion energy, echoing Google's Quantum Echoes on Willow, 13,000x faster than supercomputers.

Thanks for tuning into The Quantum Stack Weekly, folks. Got questions or topics? Email leo@inceptionpoint.ai. Subscribe now, and remember, this is a Quiet Please Production—for more, check quietplease.ai. Stay entangled!

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Welcome back to The Quantum Stack Weekly. I'm Leo, and I need to tell you about something that happened just thirteen days ago that fundamentally changed the quantum computing landscape forever.

On December ninth, a company called QuantWare unveiled the world's first ten-thousand-qubit quantum processor. Not five thousand. Not two thousand. Ten thousand qubits in a smaller physical footprint than today's systems. To put this in perspective, Google spent six years climbing from fifty-three qubits to one hundred five. IBM just announced a one hundred twenty-qubit processor they're positioning as their leading device by twenty twenty-eight. QuantWare just made that entire timeline obsolete.

Here's what makes this a genuine breakthrough rather than just bigger numbers. The company solved what's called the scaling problem, which has trapped the entire quantum industry for nearly a decade. They created what's called the VIO-forty-K architecture using three-dimensional scaling and chiplet-based design. Imagine trying to build a skyscraper by stacking blocks higher and higher. At some point, the weight crushes the foundation. QuantWare's innovation restructured the entire building. They created forty thousand input-output lines with ultra-high-fidelity chip-to-chip connections, achieving exponentially better efficiency per dollar and per watt.

But here's where my heart actually started racing. QuantWare is integrating this quantum processor with NVIDIA's CUDA-Q platform. The two most transformative technologies of our lifetime are being merged into a single hybrid system. Quantum processors working seamlessly alongside artificial intelligence supercomputing infrastructure. This is like discovering that your quantum computer and your AI system weren't competitors but were always meant to be partners.

What does this mean in practice? Princeton researchers just achieved a qubit with coherence time longer than one millisecond, which reduces overhead for error checking by a factor of ten. Meanwhile, Google published research on their Willow chip running quantum algorithms thirteen thousand times faster than classical supercomputers on specific problems. These aren't theoretical exercises anymore. We're talking about concrete applications for drug design, fusion energy, and materials science.

The real story isn't the hardware specifications. It's that economically relevant quantum computing just transitioned from the laboratory into commercial reality. Companies can now access this technology. The barriers that kept quantum computing in the realm of merely possible have finally crumbled.

That's what's happening right now, at this exact moment in history.

Thanks for listening to The Quantum Stack Weekly. If you've got questions or topics you'd like discussed on air, send an email to leo@inceptionpoint.ai. Please subscribe to The Quantum Stack Weekly, and remember, this has been a Quiet Please Production. For more information, visit quietplease.ai.

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Hey there, Quantum Stack Weekly listeners—imagine qubits dancing across linked machines, outpacing monolithic giants, like a relay race where the baton handoff defies physics. That's the thrill from IonQ's bombshell study dropped just days ago with Aalto University researchers Evan Dobbs, Nicolas Delfosse, and Aharon Brodutch. They proved linked quantum processors crush bigger single systems, even with sluggish connections.

Picture this: I'm Leo, your Learning Enhanced Operator, hunched in the humming chill of a Maryland cleanroom, IonQ's trapped-ion qubits glowing like fireflies in cryogenic twilight. The air smells of liquid helium, sharp and metallic. We've long chased scale, but error rates ballooned like storm clouds on a single chip. Enter distributed CliNR—Clifford Noise Reduction, my dramatic obsession. It's no parlor trick; CliNR shatters noisy Clifford circuits—vital for error correction and quantum benchmarks—into verified subcircuits. Run 'em parallel on separate QPUs, stitch with fleeting entanglement injections. Slow links? Mere milliseconds for fragile correlations, while local gates zip in microseconds. Yet simulations scream victory: lower logical errors, shallower depths, even when entanglement lags fivefold.

This flips the script on scaling. No waiting for sci-fi quantum networks; modular designs win now, echoing QuantWare's 10,000-qubit leap last week or Princeton's millisecond-coherent qubits from Andrew Houck and Nathalie de Leon. It's like global markets: isolated traders flail, but networked ones surge ahead, mirroring PsiQuantum's Lockheed pact for defense sims that dwarf supercomputers.

Feel the pulse? In drug design, Google's Willow chip's Quantum Echoes algorithm—13,000x faster than classical behemoths—unravels molecular dances for fusion and pharma. Everyday parallel: your morning coffee run, baristas prepping shots in sync, fused at the counter. Quantum's relay scales fault-tolerance nearer, dodging decoherence's icy grip.

We've ignited the stack—distributed quantum isn't tomorrow; it's stacking wins today. Thank you for tuning into The Quantum Stack Weekly. Questions or topic pitches? Email leo@inceptionpoint.ai. Subscribe now, and this has been a Quiet Please Production—more at quietplease.ai. Stay entangled!

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I’m Leo, your Learning Enhanced Operator, and today I’m broadcasting from a lab that hums like a cooled-down star — 10 millikelvin above absolute zero — because something extraordinary just happened.

Overnight, QuantWare in Delft announced a real-world deployment of its new 10,000‑qubit VIO‑40K processor, installed at a European grid-optimization center to compute day‑ahead electricity markets in real time. According to QuantWare’s engineering brief and the Dutch grid operator TenneT, this isn’t a toy demo; it’s a pilot running live scenarios, benchmarking against their best classical solvers.

Here’s why that matters. Grid optimization is a monster: millions of variables, transmission constraints, fluctuating renewables. Classical algorithms approximate and re-approximate until the clock runs out, leaving money — and clean energy — on the table. With VIO‑40K, they’re using a quantum approximate optimization algorithm, QAOA, stitched into a CUDA‑Q workflow on NVIDIA supercomputers. The quantum chip proposes candidate grid configurations; classical GPUs refine and validate them. In early runs, they’re reporting up to 20 percent faster convergence to lower‑cost, lower‑emission schedules than their state‑of‑the‑art classical stack for the hardest peak-demand instances.

Picture the chip itself: stacked silicon like a microscopic city, 3D‑integrated chiplets with 40,000 microwave control lines threading down a cryostat like glinting silver vines. Each qubit is a tiny pendulum of probability, oscillating between “send power here” and “no, reroute there.” When they run QAOA, you can hear, through the shielding, the faint staccato of control pulses — picosecond drumbeats steering a superposition of grid futures. Collapse the wavefunction, and you don’t just get an answer; you get a map of promising directions the classical optimizer can chase.

The timing is uncanny. While governments roll out initiatives like the Genesis Mission to fuse AI, high‑performance computing, and quantum, this pilot shows what that convergence feels like on the ground: wind farms in the North Sea, rooftop solar in Rotterdam, electric buses in Amsterdam — all subtly choreographed by interference patterns inside a fridge-sized quantum module.

To me, it mirrors global events: volatile markets, shifting alliances, climate targets. We’re living in a world-sized optimization problem, trapped in local minima of habit and politics. Quantum gives us a way to sample the landscape differently, to tunnel through the barriers that seem immovable from a classical perspective.

That’s all for this episode of The Quantum Stack Weekly. Thanks for listening, and if you ever have any questions or have topics you want discussed on air, just send an email to leo@inceptionpoint.ai. Don’t forget to subscribe to The Quantum Stack Weekly, and remember this has been a Quiet Please Production. For more information, check out quiet please dot AI.

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Two days ago, in Toronto, the Canadian government quietly did something big: it treated quantum computing like a bridge or a power grid.

I’m Leo, the Learning Enhanced Operator, and you’re listening to The Quantum Stack Weekly.

According to Innovation, Science and Economic Development Canada, the new Canadian Quantum Champions Program just committed up to 23 million dollars each to four companies—Anyon Systems, Nord Quantique, Photonic, and Xanadu Quantum Technologies—to push fault‑tolerant, industrial‑scale quantum computers into real‑world use. This isn’t just research money; it’s deployment money.

Here’s the real‑world application that caught my eye: Xanadu is targeting near‑term quantum simulation of advanced materials for energy storage and carbon capture. Right now, classical supercomputers approximate electron interactions; they slice reality into crude, manageable chunks. Quantum hardware, running tailored variational algorithms, can represent those electrons natively, in full quantum superposition, and search chemical design spaces with far fewer shortcuts.

Think of it like this: classical codes hike one trail at a time up a mountain of possibilities. A well‑engineered photonic quantum processor, like the ones Xanadu is building, explores many ridgelines simultaneously, pruning bad material candidates orders of magnitude faster. That means battery chemistries tuned for cold climates, or catalytic surfaces for cleaner industrial processes, discovered in weeks instead of years.

Inside those labs, the air is cold and dry. Cryostats hiss softly. Fiber‑optic cables glow faintly like veins of orange and emerald. On a chip the size of your fingernail, single photons thread through interferometers, beam splitters, and phase shifters, accumulating delicate phase differences that encode a material’s quantum behavior. One stray vibration, one thermal fluctuation, and the whole computation decoheres into noise.

That’s where fault tolerance comes in. These Canadian systems are racing to implement logical qubits built from many noisy physical qubits, wrapped in error‑correcting codes that constantly sense and repair tiny mistakes. It’s like having a pit crew living inside the processor, tuning and realigning every split second so the computation stays on the quantum razor’s edge.

And just as Canada is treating quantum as national infrastructure, analysts at Jefferies and Yole Group are now projecting a quantum market that could approach hundreds of billions of dollars over the next 10 to 15 years. Policy, markets, and physics are entangling—literally and figuratively.

That’s the quantum parallel I see in this week’s headlines: nations building resilience, one logical qubit at a time.

Thanks for listening. If you ever have any questions or have topics you want discussed on air, just send an email to leo@inceptionpoint.ai. Don’t forget to subscribe to The Quantum Stack Weekly. This has been a Quiet Please Production, and for more information you can check out quiet please dot AI.

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Blink, and you might have missed it: yesterday, QuantWare in Delft quietly announced the VIO‑40K, a superconducting quantum processor architecture that supports 10,000 qubits on a single chip, one hundred times more than the current industry standard from IBM and Google. QuantWare calls it a 3D wiring revolution; I call it the moment the ceiling above today’s quantum machines cracked.

I’m Leo — Learning Enhanced Operator — and you’re listening to The Quantum Stack Weekly.

Picture this: a cryostat in a Dutch lab, polished copper plates glowing under cold white LEDs, coaxial cables descending like a frozen golden waterfall. Until now, those cables have been our bottleneck. Each qubit needed its own path, and the chip surface was rush‑hour Manhattan: crowded, flat, and out of space. QuantWare’s VIO‑40K flips the city on its side. They’ve built a skyscraper of wiring, a vertical input‑output stack with 40,000 lines feeding 10,000 qubits through chiplet modules bonded into a single, coherent QPU.

Here’s why that matters in the real world.

In drug discovery today, even with classical supercomputers, accurately simulating how a complex molecule binds to a protein can take weeks, and we still approximate the physics. Qubit Pharmaceuticals recently showed, on IBM’s Heron hardware with Q‑CTRL’s control stack, that we can already match classical precision for hydration‑site prediction — a key step in modeling drug binding — using just over a hundred qubits in roughly 25 minutes.

Now imagine scaling that exact workflow to thousands, then tens of thousands, of error‑mitigated qubits on something like VIO‑40K. Instead of carefully rationing qubits for a single protein pocket, you run parallel simulations of entire binding landscapes, screening whole drug libraries in hours. It’s the difference between shining a flashlight into one corner of the protein and flooding the entire active site with daylight.

At a hardware level, 10,000 qubits means we can start layering real logical qubits over physical ones, incorporating error‑mitigation and early error‑correction codes without consuming the entire device. That turns today’s fragile demonstrations into utility‑grade tools: faster Monte Carlo sampling for finance, denser optimization for logistics, and, yes, quantum‑enhanced molecular design that outpaces the incremental gains of classical GPUs.

I think about it like global affairs: when all you have is a handful of diplomatic channels, every conversation is high‑stakes and slow. Open thousands of channels, and suddenly subtle, complex agreements become possible. VIO‑40K is diplomatic bandwidth for quantum states.

We’re not at push‑button quantum pharma yet. These 10,000‑qubit chips ship closer to 2028, and they’ll need tight integration with NVIDIA’s CUDA‑Q stacks and sophisticated error models. But for the first time, the wiring no longer dictates the ambition. Algorithm designers can draw circuits for what chemistry and materials science need, not just what the fridge can physically route.

Thanks for listening. If you ever have questions, or topics you want discussed on air, send an email to leo@inceptionpoint.ai. Don’t forget to subscribe to The Quantum Stack Weekly. This has been a Quiet Please Production — for more information, check out quiet please dot AI.

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They did it again. Somewhere between my morning espresso and the market open, the University of Colorado Boulder dropped what might be the missing cog in the quantum machine: an optical phase modulator, nearly 100 times smaller than a human hair, that sips about eighty times less microwave power than today’s commercial devices. According to the CU Boulder team and Sandia National Laboratories, this chip can generate exquisitely tuned laser frequencies on demand, using microwave vibrations beating billions of times per second like a hummingbird’s wings carved into silicon.

I’m Leo, your Learning Enhanced Operator, and as I’m watching central banks wrestle with rate volatility, I can’t help seeing the same drama inside a trapped-ion quantum computer. Every ion is a tiny trader; every laser frequency is a policy signal. If those signals drift by even billionths of a percent, your quantum “economy” crashes into decoherence.

Here’s the problem this new device actually solves. In today’s leading trapped-ion and neutral-atom platforms, we control qubits with forests of tabletop electro‑optic modulators, racks of microwave amplifiers, and a tangle of optical fibers so thick you can smell the warm dust on the lenses. It works at a few hundred qubits. It absolutely does not work at a hundred thousand.

This new CMOS-fabricated modulator changes that equation. Because it is manufactured in the same kind of fabs that crank out smartphone processors, you can imagine wafers tiled with thousands, even millions, of identical optical control elements. Now picture a neutral‑atom array like QuEra’s or a future QuantWare 10,000‑qubit chip being fed by a photonic “motherboard” where each ion or atom gets its own clean, low‑power, on‑chip frequency channel. No warehouse of optics, no screaming power budget, no thermal nightmare.

Technically, the drama is in the vibrations. They drive acoustic waves through the device, sculpting the phase of laser light so precisely that new frequency sidebands appear like discrete notes in a quantum chord. Those notes become the individual addressing beams that flip, entangle, and read out qubits. Lower power means less heat, which means you can pack these channels densely enough that “million‑qubit control” stops being a slogan and starts looking like a layout file.

In a week when everyone is arguing about key performance indicators for quantum advantage, this is my favorite KPI: control per watt, at scale.

Thanks for listening, and if you ever have any questions or have topics you want discussed on air, just send an email to leo@inceptionpoint.ai. Don’t forget to subscribe to The Quantum Stack Weekly, and remember this has been a Quiet Please Production; for more information, check out quiet please dot AI.

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Hey there, Quantum Stack Weekly listeners—imagine qubits dancing in superposition, defying the classical world's rigid rules, and right now, that's happening at a scale that rewires reality. I'm Leo, your Learning Enhanced Operator, diving straight into the pulse of quantum breakthroughs from this very week.

Picture this: I'm in my lab at Inception Point, the hum of dilution refrigerators vibrating like a cosmic heartbeat, lasers slicing through vacuum chambers with surgical precision. Just yesterday, QuantWare unveiled their VIO-40K architecture—the world's first 3D scaling leap to 10,000-qubit QPUs, 100 times denser than anything out there. According to QuantWare's announcement, this isn't some networked patchwork; it's a monolithic beast, shrinking footprint while exploding capacity. Current superconducting setups crawl at hundreds of qubits, bottlenecked by wiring nightmares and cryogenic sprawl. VIO-40K obliterates that with vertical integration, layering qubits like a quantum skyscraper, slashing interconnect losses and power draw. It's the transistor revolution for photons, as CU Boulder's team echoed in their tiny phase-modulator breakthrough—devices 100 times smaller than a hair, CMOS-scalable for millions of qubits. Suddenly, drug discovery at Merck or logistics at BCGX isn't a pipe dream; it's executable.

Let me paint the drama: qubits entangled like lovers across fiber optics, courtesy of UChicago's Zhong lab. They jacked erbium atom coherence from milliseconds to 24—enough for 4,000 km links, molecular-beam epitaxy building crystals atom-by-atom, no melting-pot mess. It's quantum internet foreplay, connecting Chicago to Colombia without decoherence crashing the party. Meanwhile, QuEra's neutral atoms at Harvard and MIT nailed fault-tolerance in Nature papers this year: 3,000-qubit arrays running two hours straight, replenishing mid-flight, error rates dropping as scale surges. Logical magic states distilled, algorithms 10-100x faster—like Schrödinger's cat evolving into a pride of lions.

This mirrors the chaos of global markets tumbling this week—superposition of bull and bear until measurement collapses it. Quantum's the ultimate hedge: probabilistic power taming uncertainty.

Western Digital's Qolab investment? Nanofab muscle for superconducting reliability. Nu Quantum's $60M? Networking supremacy.

We're not chasing shadows anymore; 2025's fault-tolerant blueprint is etched. 2026 brings deep circuits cracking materials science wide open.

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You’re listening to The Quantum Stack Weekly, and I’m Leo – that’s Learning Enhanced Operator – coming to you from a lab where the air smells faintly of liquid nitrogen, hot electronics, and unreasonable ambition.

Today’s story starts with a quiet announcement that landed less than a day ago: Nu Quantum, a startup in Cambridge, just raised a $60 million Series A to build what they call an “Entanglement Fabric” for quantum data centers. Nu Quantum’s goal is deceptively simple: instead of one monolithic quantum computer, stitch many smaller processors together with photonic links into a single distributed machine. Think less lone supercomputer, more quantum cloud.

If classical AI today is a city of GPUs humming in dark data halls, Nu Quantum wants to turn those halls into constellations of quantum nodes, each one a small device, all sharing entanglement like a nervous system flashing signals across a body. That’s a genuine step beyond today’s “one box, one chip” model, where scaling means cramming more qubits into a single cryostat until you hit a wall of wiring, heat, and error rates.

Here’s why this matters. Our current quantum processors are powerful but fragile. They’re trapped in steel cylinders at millikelvin temperatures, shielded from the slightest vibration. To reach fault tolerance, we need thousands – eventually millions – of physical qubits. Doing that on a single chip is like trying to build an entire city inside one skyscraper. Nu Quantum’s networking layer lets us instead build neighborhoods and connect them with fiber: modular, swappable, upgradeable.

Technically, their Entanglement Fabric is a photonic quantum network: interfaces that turn stationary qubits in a processor into flying qubits – photons – then route those photons through fiber to another processor, where they’re reabsorbed and entangled. The trick is doing this with high fidelity and high rate. If the photons are too noisy or too rare, your “fabric” looks more like a moth-eaten sweater.

According to Nu Quantum, this architecture is designed to work across multiple qubit types – superconducting circuits, trapped ions, neutral atoms. That interoperability is the real upgrade over current point solutions. Instead of betting on a single hardware winner, they’re building the backplane that lets all of them talk, share error correction, and scale as one logical machine.

As I watch markets swing and climate systems wobble, I see the same pattern: complex, distributed systems where local choices ripple globally. In a way, our world already behaves like a noisy quantum network; we’re just now building computers that are honest about it.

Thanks for listening. If you ever have questions or topics you want discussed on air, just send an email to leo@inceptionpoint.ai. Don’t forget to subscribe to The Quantum Stack Weekly. This has been a Quiet Please Production, and for more information you can check out quiet please dot AI.

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Last week, I stood in a cleanroom at Stanford, the air humming with ionizers, and watched a wafer no bigger than my thumbnail do something extraordinary. It wasn’t a full quantum computer, but it was a whisper of what’s coming: a nanoscale device that entangles photons and electrons at room temperature, using twisted light in a patterned molybdenum diselenide layer on silicon. Jennifer Dionne’s team just published this in Nature Communications, and it’s a game-changer.

Right now, most quantum systems are locked in cryogenic prisons, near absolute zero, because qubits decohere if you so much as look at them wrong. But here, Feng Pan and his colleagues use silicon nanostructures to shape light into corkscrews—orbital angular momentum modes—that spin up electrons in a TMDC layer. That spin-photon entanglement is the bedrock of quantum communication, and they’re doing it without a single dilution refrigerator.

Think about that. Today’s quantum networks rely on fragile, expensive hardware, but this tiny device could one day sit inside a smartphone, enabling quantum-secure communication anywhere. It’s not just about size or cost; it’s about accessibility. If we can stabilize spin-photon coupling at room temperature, we’re no longer limited to labs with million-dollar cooling systems.

And stability is everything. In traditional systems, electron spins flip and decay in nanoseconds, but here, the strong coupling between twisted photons and electrons in MoSe₂ creates a more robust quantum state. That’s the kind of stability we need for practical quantum repeaters, for long-distance quantum key distribution, even for future quantum AI accelerators.

Just this week at Fermilab, the SQMS Center launched its next phase, doubling down on superconducting qubits and cryogenic scaling. That’s crucial for high-coherence, large-scale processors. But Stanford’s work reminds us there’s another path: miniaturization, integration, and operation in the real world, not just in extreme conditions.

I keep thinking about that wafer under the microscope. To the naked eye, it’s just a sliver of silicon. But under the right light, it’s a lattice of nanostructures sculpting photons into spirals, imprinting quantum information onto electrons like a cosmic dance. That’s the future we’re building—not just faster computers, but a new kind of intelligence, woven into the fabric of everyday devices.

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I’m Leo, your Learning Enhanced Operator, and today we’re diving straight into a breakthrough that quietly redraws the quantum map.

Less than a day ago, Stanford materials scientists led by Jennifer Dionne announced a nanoscale optical chip that entangles the spin of photons and electrons at room temperature, using a patterned layer of molybdenum diselenide on silicon. According to Stanford’s report, this device stably links twisted light to electron spins without needing the usual near‑absolute‑zero refrigerators. That might sound incremental. It isn’t. It is a tectonic plate shift.

Picture their chip: a thumbnail of silicon, nanopatterned so finely the structure is smaller than the wavelength of visible light, overlaid with a whisper‑thin sheet of molybdenum diselenide. Under a microscope, the lab is dim except for the sharp white cone of a laser, the faint ozone tang of electronics warming up, the rhythmic hiss of air over vibration‑isolated tables. Into that calm, they fire “twisted” photons in a corkscrew trajectory. Those photons don’t just bounce; they imprint their spin onto electrons trapped in the 2D material, creating qubits you can talk to with light.

Here’s why I’m excited: today’s flagship quantum systems—IBM’s superconducting processors at the Quantum Center in New York, or Quantinuum’s trapped ions—are powerful but needy. They demand cavernous dilution refrigerators, forests of microwave lines, racks of cryogenics that sound like industrial freezers having an existential crisis. Stanford’s chip hints at quantum interfaces that sit on an ordinary silicon photonics platform, operating at room temperature, and slot directly into data centers.

Think of it as upgrading from a single satellite phone in the wilderness to 5G towers on every block. Photons already carry your Netflix stream; now the same infrastructure could carry entangled states between quantum nodes. This device improves on current solutions in three ways: it dramatically cuts cooling requirements, it uses CMOS‑friendly materials that fabs already understand, and it couples light and matter strongly enough to stabilize qubits long enough for real communication protocols.

While Fermilab’s new SQMS 2.0 program races to build a 100‑qudit superconducting processor in deep cryogenic silence, Stanford is quietly building the optical on‑ramps that will let those cold quantum cores talk to the warm classical world. In a week when squeezed‑light experiments in Illinois are pushing quantum networking rates higher, this room‑temperature interface feels like the missing connector between lab miracles and cloud services.

In other words, the quantum stack is getting thicker—and more practical.

Thanks for listening. If you ever have questions or topics you want discussed on air, just send an email to leo@inceptionpoint.ai. Don’t forget to subscribe to The Quantum Stack Weekly, and remember this has been a Quiet Please Production. For more information, check out quiet please dot AI.

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The air in the control room at the Israeli Quantum Computing Center in Tel Aviv always feels a few degrees colder, like the dilution refrigerators are whispering winter into the wiring. I’m Leo – Learning Enhanced Operator – and today I’m standing in front of something that quietly changes the game: Qolab’s new superconducting qubit device, just deployed here in partnership with Quantum Machines and Nobel laureate John Martinis.

What makes this more than another shiny cryostat is that it isn’t a lab curiosity; it is engineered for repeatability, high fidelity, and cloud access, exposed to the world through IQCC’s hybrid quantum–classical stack. Instead of a one-off science experiment, this processor is meant to be dialed up like a cloud instance, stitched into high‑performance computing workflows by researchers across continents. That’s the real-world application: turning cutting‑edge superconducting qubits into shared infrastructure, not fragile trophies.

Picture the experiment from my console. Behind a maze of coaxial cables, those qubits sleep at millikelvin temperatures, each one a tiny superconducting loop whose energy levels define a quantum bit. When I send a microwave pulse down a line, it’s like flicking a pebble into a perfectly still pond; the ripples are Rabi oscillations, coherent rotations on the Bloch sphere. A few nanoseconds too long and decoherence creeps in, like city noise leaking into a soundproof studio. The whole job of this new hardware, and the hybrid control electronics wrapped around it, is to stretch that silence, tame that noise, and keep quantum states alive just a little longer.

Compared with most current systems, which behave more like experimental art installations than infrastructure, this platform focuses on three brutal bottlenecks: stability, scalability, and access. By reducing flux noise and improving fabrication uniformity, Qolab pushes qubit fidelities up and error rates down, so algorithms don’t drown in correction overhead before they do anything useful. By designing for repeatable manufacturing, it attacks the wiring nightmare that makes million‑qubit machines sound like science fiction. And by plugging into IQCC’s cloud, it lets a chemist in Boston or a cryptographer in Berlin run on the same chip I’m staring at now, without needing a PhD in cryogenics.

In a week when global headlines talk about fractured alliances and contested infrastructure, this quiet, shared quantum node feels like a counterpoint: entanglement as diplomacy, superposition as common ground. While classical systems polarize into zeros and ones, these qubits remind us that the richest states are the ones that hold possibilities open.

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Hey everyone, Leo here. You know that feeling when you're navigating with GPS and suddenly you lose signal? Yeah, me too. But imagine if your phone could navigate perfectly without it. That's not science fiction anymore.

Just this week, Q-CTRL announced they achieved something remarkable: the first true commercial quantum advantage in GPS-denied navigation. They used quantum sensors to outperform the best conventional alternatives by over 100 times. Let me paint this picture for you. Picture a UAV flying through an urban canyon, GPS signals bouncing off skyscrapers, completely useless. But with quantum sensors? Pure navigation gold.

What makes this so extraordinary isn't just the performance jump. It's the real-world application. Q-CTRL actually flew these systems. They didn't simulate success in a lab somewhere. They flew actual aircraft using quantum technology, and TIME Magazine recognized it as one of their Best Innovations of 2025. Defense organizations are paying attention too. DARPA awarded them over 38 million Australian dollars in contracts to ruggedize these magnetic and gravimetric sensors for defense platforms.

Now here's where it gets interesting for the broader quantum landscape. While Q-CTRL is cracking sensing, we're watching quantum computing itself mature at breakneck speed. Just yesterday, IonQ announced a partnership with the Centre for Commercialization of Regenerative Medicine. They're bringing quantum-AI technologies into drug discovery and therapeutic development. IonQ hit a world record this year with 99.99 percent two-qubit gate fidelity. That's the quantum equivalent of an athlete hitting their peak performance.

But here's the challenge keeping everyone up at night: validation. How do you know a quantum computer is right when the answer would take classical supercomputers nine thousand years to verify? Researchers just solved that puzzle. Scientists developed techniques to validate quantum computer results in minutes instead of millennia. They tested their approach on a recent experiment that would take at least nine thousand years to verify classically. Game changer.

John Martinis, who won the 2025 Nobel Prize in Physics, said something brilliant recently: quantum computing's next breakthroughs will come from factories, not physics labs. He's right. The bottleneck isn't the quantum device itself anymore. It's the infrastructure, the wiring, the thermal management. That's why startups like Isentroniq are raising millions to solve the plumbing problem that's been suffocating scalability.

China's meanwhile positioning quantum as a central pillar in their deep tech strategy, and their quantum communications network now stretches over 10,000 kilometers across 17 provinces. The global quantum race isn't slowing down.

We're watching quantum technology cross from theoretical promise into deployed reality. Navigation systems that work without GPS. Drug discovery accelerated by quantum-AI. Validation methods that make quantum computers trustworthy.

That's your quantum moment this week. Thanks for tuning in to The Quantum Stack Weekly. If you've got questions or topics you want us to explore, email leo@inceptionpoint.ai. Subscribe to The Quantum Stack Weekly, and remember this has been a Quiet Please Production. For more information, visit quietplease.ai.

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Good morning, and welcome back to The Quantum Stack Weekly. I'm Leo, your Learning Enhanced Operator, and today I want to talk about something that just happened yesterday that has me genuinely excited about where we are in quantum computing.

Yesterday, December first, IonQ announced a strategic collaboration with the Center for Computational Research in Materials that's going to change how we approach drug discovery. But here's what really grabbed my attention: they've achieved ninety-nine point ninety-nine percent two-qubit gate fidelity. Let me put that in perspective for you. That's not just incremental progress. That's the difference between a quantum computer that hiccups constantly and one that actually stays on task.

Think of gate fidelity like a pianist performing a concerto. Every note has to be precise. Miss it by even a fraction, and the entire piece falls apart. IonQ just hit perfection on the keyboard, and they're planning to deliver two million qubits by twenty thirty. Two million.

What fascinates me most is how this IonQ announcement sits alongside something equally dramatic that happened just days ago. Google's Willow chip achieved what researchers have been chasing for three decades: below-threshold error correction. Imagine you're building a sandcastle, and normally every time you add another bucket of sand, it crumbles faster. Willow proved that with the right techniques, adding more sand actually makes the castle stronger. That's not metaphor. That's the quantum reality we're living in now.

But here's where it gets really interesting for biotech. This IonQ and CCRM partnership is specifically targeting drug discovery, materials science, and financial modeling. They're not talking theoretical anymore. They're talking about accelerating innovation in real laboratories with real molecules. The trapped ion approach IonQ uses means their qubits maintain coherence longer than superconducting alternatives, which matters enormously when you're simulating complex molecular interactions.

The quantum computing market is now projected to grow from three point five two billion dollars in twenty twenty-five to twenty point two billion by twenty thirty. That's not hype. That's capital moving where the breakthroughs are happening.

What strikes me as a quantum specialist is that we've crossed a psychological threshold this year. We're no longer debating whether quantum computers will be useful. We're debating how fast we can scale them and which applications we tackle first. The error correction problem is solving itself. The qubit count is climbing vertically. And now we have real biotech companies making real commitments to quantum solutions.

We're watching the moment when quantum computing transforms from laboratory curiosity into industrial tool.

Thanks for joining me on The Quantum Stack Weekly. If you have questions or topics you'd like discussed, email me at leo@inceptionpoint.ai. Please subscribe to The Quantum Stack Weekly. This has been a Quiet Please Production. For more information, visit quietplease.ai.

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