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“Picture this: I’m standing on the show floor at CES in Las Vegas, and D‑Wave steps up to a mic and quietly drops what might be the most important quantum hardware announcement of the year.”

“I’m Leo, your Learning Enhanced Operator, and today on Quantum Dev Digest we’re diving straight into D‑Wave’s new scalable on‑chip cryogenic control for gate‑model qubits, unveiled just days ago at CES. D‑Wave, long known for quantum annealing, just showed a multichip package where a high‑coherence fluxonium qubit chip is bonded directly to a control chip, leveraging technology developed with NASA’s Jet Propulsion Laboratory.”

“Why does that matter? Because up to now, building big gate‑model machines has felt like trying to run a data center through a bundle of garden hoses. Each qubit wanted its own meticulously filtered control line snaking down into the cryostat. You end up with a stainless‑steel Medusa: kilometers of wiring, huge fridges, absurd cost.”

“D‑Wave’s move is more like inventing Wi‑Fi for the quantum fridge. Instead of a cable to every device, they use multiplexed digital‑to‑analog converters on‑chip, fanning a handful of lines out to control many qubits at millikelvin temperatures, without wrecking fidelity. That’s the breakthrough: fewer wires, same quality of control, and suddenly scaling doesn’t look like science fiction.”

“Here’s the everyday analogy: imagine a skyscraper where every apartment has its own dedicated water pipe all the way back to the reservoir. That’s classical quantum control today: dense, expensive plumbing. What D‑Wave is demonstrating is the quantum equivalent of smart vertical risers and manifolds in each floor, so a few thick pipes can reliably serve thousands of apartments. Same water pressure, far less steel.”

“And while the show lights of CES were flashing, a quieter but equally important event unfolded in the journals. A team at the Institute of Science Tokyo led by Kenta Kasai reported a new quantum error‑correction method that pushes performance near the theoretical hashing bound, while keeping the decoding computational cost almost flat as the system grows. In plain terms: they’ve sketched a path where correcting quantum errors doesn’t become the bottleneck.”

“Layer those two stories together with tomorrow’s policy backdrop: The Quantum Insider is calling 2026 the ‘Year of Quantum Security,’ with an initiative launching in Washington, D.C. to align federal agencies and industry around quantum‑safe infrastructure. Hardware that actually scales, error correction that’s nearly optimal, and a global push to secure what we build—this is the moment quantum starts to look less like a lab demo and more like an industry.”

“I’m Leo, thanking you 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 Quantum Dev Digest. This has been a Quiet Please Production; for more information, check out quietplease dot AI.”

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I’m Leo, your Learning Enhanced Operator, and today I’m coming to you from a dimly lit control room, eyes on a live feed from CES in Las Vegas, where D‑Wave just dropped a quiet bombshell on the field.

They’ve demonstrated scalable on‑chip cryogenic control for gate‑model qubits, built with NASA’s Jet Propulsion Laboratory in a multichip superconducting package tied to high‑coherence fluxonium qubits. According to D‑Wave’s own roadmap and coverage from Quantum Zeitgeist, this is an industry‑first: control electronics living inside the freezer, right next to the qubits, instead of sprawled across racks of room‑temperature hardware.

Why does that matter? Picture rush‑hour traffic in a megacity. Our current gate‑model machines are like trying to run a metropolis with one narrow highway per car: every qubit gets its own control line snaking from room temperature down into the cryostat. It works for a few hundred cars, but try millions and the tunnel itself clogs with cables, dumps heat, and the whole city gridlocks.

D‑Wave and JPL just turned that spaghetti of wires into a subway system. Instead of thousands of individual highways, they use multiplexed digital‑to‑analog converters on the chip itself, the same strategy they’ve used to control tens of thousands of annealing qubits with only about 200 bias lines. Now that philosophy is wrapped around a gate‑model fluxonium chip, all bonded together with superconducting bumps so signals barely lose a whisper as they move.

In practical terms, this attacks one of the nastiest scaling walls in quantum computing: wiring and cryogenic heat load. Every extra cable is a tiny heater stabbing into the coldest place in the machine. Move the brain of the traffic system inside the city limits, and suddenly adding more intersections—more qubits—stops being a physics nightmare and starts looking like an engineering roadmap.

And this development lands in a week when error correction also took a leap. A team at the Institute of Science Tokyo just reported a quantum error‑correction method in npj Quantum Information that creeps right up to the hashing bound while staying computationally light. Think of it as a nearly perfect spell‑checker that doesn’t slow down your document no matter how long it gets.

Put these together: D‑Wave tackling the hardware plumbing, Tokyo slashing the cost of cleaning up errors. It’s like the internet in the 1990s suddenly getting both fiber optics and robust encryption in the same week. You don’t see the wires or the codes—but everything built on top becomes more ambitious.

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 Quantum Dev Digest. This has been a Quiet Please Production, and for more information you can check out quiet please dot AI.

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The most interesting quantum discovery this week, at least to me, isn’t a single chip — it’s a marriage. D-Wave just announced it’s acquiring Quantum Circuits, the Yale spin‑out led by Rob Schoelkopf, to build a superconducting gate‑model processor with built‑in error detection on a “dual‑rail” architecture. According to their announcement, they expect the first dual‑rail system to be commercially available in 2026, and they’re saying out loud what many of us have whispered: this could be a shortcut to fully error‑corrected quantum computing.

I’m Leo — Learning Enhanced Operator — and I’m standing in a dimly lit lab, next to a gleaming golden dilution refrigerator. You can hear the low hiss of helium pumps and the faint tap of keyboard keys as someone tweaks a control sequence. Inside that fridge, qubits are superconducting circuits colder than deep space, dancing on the edge between 0 and 1.

Here’s why this dual‑rail move matters, in everyday terms.

Imagine a crowded city subway at rush hour. Classical computers are like buses on the surface: they take one fixed route at a time, stop‑and‑go through traffic. Quantum computers are like a secret underground network where trains can explore many routes simultaneously. Powerful, yes — but until now, those trains derailed constantly. Every vibration, every stray “passenger” interaction knocks them off the tracks. That’s decoherence.

Quantum Circuits’ dual‑rail scheme is like giving every quantum train a parallel safety track with sensors that constantly check, “Are we still on the rails?” If something nudges the train, the system detects it immediately and nudges it back, instead of letting the whole schedule collapse. Built‑in error detection means you need far fewer physical qubits to get one high‑quality logical qubit, which is the real currency of useful quantum computing.

Now connect that to this week’s other big storyline: RIKEN in Japan pushing a tightly integrated quantum–supercomputer platform in Kobe, wiring IBM’s superconducting IBM Quantum System Two directly into classical high‑performance computing. They describe it like a piano: the quantum chip is the instrument, the classical supercomputer is the pianist that actually plays the music.

Put those two threads together and you can feel the paradigm shift. D‑Wave plus Quantum Circuits is about making the piano itself stay in perfect tune for hours. RIKEN’s hybrid platform is about hiring a virtuoso pianist and giving them an orchestra. Suddenly, that abstract phrase “fault‑tolerant quantum computer” starts to sound less like science fiction and more like a roadmap.

For developers, this means the questions change. Less “Will quantum ever work?” and more “Which parts of my workload do I hand to a fault‑tolerant piano in a supercomputing concert hall?”

Thanks for listening. If you ever have questions, or there’s a quantum topic you want me to tackle on air, send an email to leo@inceptionpoint.ai. Don’t forget to subscribe to Quantum Dev Digest. This has been a Quiet Please Production, and for more information you can check out quiet please dot AI.

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Imagine standing in a cryogenic chamber at 10 millikelvin, the air humming with the faint vibration of dilution refrigerators, as electrons dance in perfect defiance of classical rules. That's where I, Leo—your Learning Enhanced Operator—was last week, witnessing a breakthrough that sent shivers through the quantum world: the first experimental one-sided Josephson junction, reported by an international team of physicists just days ago.

Picture this: a conventional Josephson junction, the heartbeat of superconducting qubits in machines from IBM to Google, needs two superconductors sandwiching a thin insulator to let Cooper pairs tunnel through, syncing their phases like synchronized swimmers. But this new device? Only one superconductor—vanadium—paired with plain iron across magnesium oxide. Electrical measurements revealed current-voltage patterns identical to the classic setup: zero-resistance DC flow and AC oscillations up to gigahertz frequencies. Superconducting correlations leaped the barrier, reorganizing iron electrons into same-spin pairing. It's as if one dancer convinced the entire crowd to mirror their rhythm without touching.

Why does this matter? Think of your morning coffee grind. Classical bits are like grinding beans one by one—predictable, but slow for complex blends. Qubits, entangled and superpositioned, brew infinite possibilities simultaneously. Yet noise decoheres them faster than you can sip. This junction simplifies fabrication—no dual superconductors means fewer materials, less complexity, slashing error rates. It echoes the 2025 Nobel in Physics for related tunneling effects, paving roads to topological superconductors that shrug off environmental noise like a diamond repelling scratches.

Here's the everyday analogy: it's your smartphone's GPS finally ditching bulky antennas for a sleeker chip that senses signals through walls. Iron and MgO are already in hard drives and MRAM; hybridize with vanadium, and quantum circuits slip into existing factories. For drug discovery, imagine simulating molecular vibrations without million-qubit behemoths—error-corrected logical qubits become feasible sooner, per Quantum Brilliance's Marcus Doherty predictions for 2026 fault-tolerant demos. JPMorganChase's recent quantum streaming algorithm already hints at real-time big data wins; this accelerates that hybrid quantum-classical revolution.

Dramatically, it's quantum's whisper becoming a roar: from lab curiosities to scalable networks, entanglement swapping over photonic chips as Toshiba foresees, fueling secure QKD and distributed computing. We're hurtling toward quantum advantage in chemistry, where Xanadu's Christian Weedbrook expects order-of-magnitude speedups in electronic systems classical machines choke on.

As the frostbite nips my fingertips in that cryo-lab, I feel the multiverse branching—safer qubits, greener AI, unbreakable crypto before Q-Day hits.

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Hey folks, Leo here from Quantum Dev Digest—your Learning Enhanced Operator diving straight into the quantum frenzy. Just days ago, on January 1st, Google DeepMind and their Quantum AI team at Alphabet dropped a bombshell: AlphaQubit, their AI-powered decoder that's cracking quantum error correction wide open. Picture this: I've spent years in cryogenic labs, the air humming with the chill of liquid helium at 10 millikelvin, superconducting qubits flickering like fireflies in a storm of decoherence. But AlphaQubit? It's taming that chaos.

Let me paint the scene. We're talking the 105-qubit Willow processor, where noise—those pesky phase flips and bit flips from thermal vibrations or cosmic rays—used to doom every large-scale run. AlphaQubit, built on a transformer neural network, sniffs out errors in real-time, delivering a 13,000x speedup over supercomputers in molecular simulations like Quantum Echoes. It's not just faster; it's fault-tolerant. Scale up, and stability improves, flipping the NISQ era on its head. No more fragile scaling— we're entering reliable quantum computation.

Why does this matter? Everyday analogy: Imagine driving a sports car on icy roads. Classical error correction is like chaining tires—clunky, resource-hungry, slowing you to a crawl. AlphaQubit? It's AI antifreeze, learning the slick spots, keeping you at full throttle through the blizzard. Suddenly, drug discovery isn't guessing molecular bonds; it's simulating them perfectly, slashing years off pharma timelines. Finance? Optimize portfolios against black swan events in seconds. This silences Quantum Winter skeptics—real quantum advantage is here, bridging AI and quantum like never before.

Feel the drama: qubits entangled in superposition, probabilities collapsing like a house of cards in a quantum gale, only AlphaQubit holds the deck steady. I've felt that thrill in the control room, screens alive with syndrome extractions, the decoder predicting errors before they bite. It's poetic—AI mastering quantum's unruly dance, much like diamonds powering sensors at Element Six, flipping imperfections into ultra-sensitive detectors for brain signals or mineral hunts.

This breakthrough echoes across 2026 predictions: fault-tolerant gates from Quantinuum, photonic networks from Xanadu. Quantum's no hype—it's hardware utility igniting.

Thanks for tuning in, listeners. Got questions or topics for the show? Email leo@inceptionpoint.ai. Subscribe to Quantum Dev Digest, and remember, this has been a Quiet Please Production—for more, check out quietplease.ai. Stay quantum-curious!

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# Quantum Dev Digest: Leo's Latest

Hey everyone, it's Leo here, and I've got something that's been keeping me up at night in the best possible way. We just wrapped the holidays, and the quantum computing landscape has shifted dramatically. The Quantum Insider and industry experts are calling 2026 the year we move from lab headlines into measurable enterprise progress, and honestly, I couldn't be more excited.

Here's what's got my attention. We're standing at this fascinating inflection point where quantum computing is finally showing real utility beyond theoretical demonstrations. Think of it like this: imagine you've been looking at an incredibly detailed map of a city for years, but you've never actually walked the streets. That's been quantum computing until now. We had the blueprints, but we're just starting to experience the actual terrain.

Just days ago, industry leaders from Xanadu, Alice and Bob, and JPMorgan Chase released their 2026 predictions, and they're pointing toward something remarkable. Xanadu's CEO Christian Weedbrook is expecting what he calls market feasibility breakthroughs in quantum chemistry and materials science. More specifically, we're looking at demonstrations that show order-of-magnitude reductions in simulation time compared to classical methods. That's not incremental improvement. That's transformational.

Here's the everyday analogy that clicked for me. Imagine you're trying to predict weather patterns, and currently you're using a bicycle to gather data points across the city. That bicycle is classical computing. It works, but it's slow. Now imagine swapping that for a jet airplane. That's what quantum systems are becoming for certain problems. The qubit counts are climbing past one hundred, error correction is becoming more reliable, and hybrid quantum-classical workflows are finally delivering practical results.

JPMorgan Chase just demonstrated a quantum streaming algorithm that achieves what they call theoretical exponential space advantage in real-time processing. That's the kind of concrete achievement that moves the needle from speculation to practice. Meanwhile, neutral atom and trapped ion platforms are racing toward what might be the first truly universal quantum computer, though not yet fault-tolerant.

What excites me most isn't the hardware arms race, though that's important. It's the ecosystem maturation. AI-native simulation platforms are becoming essential infrastructure for quantum development. Organizations are doubling down on quantum procurement initiatives. We're seeing the shift from awareness to action across enterprises and governments worldwide.

The quantum sensing revolution is also accelerating in parallel. Diamond-based quantum sensors are detecting magnetic fields with such precision they can sense a car driving down the street from a hundred meters away. That's real utility today, not tomorrow.

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Imagine this: just days ago, on December 30th, researchers shattered a quantum barrier, proving universal computation is possible in dimension-3 qudits without injecting "magic" states, as detailed in Quantum Zeitgeist's breakthrough report. I'm Leo, your Learning Enhanced Operator, diving into the quantum storm on Quantum Dev Digest.

Picture me in the humming cryostat lab at Inception Point, the air chilled to near-absolute zero, superconducting coils whispering as Willow's 105-qubit sibling pulses with eerie blue light. That's where I live, bridging the probabilistic abyss. But today's discovery? It's the spark igniting 2026. High-dimensional qudits—think qubits on steroids, encoding more than binary 0s and 1s—now generate dense subgroups in the unitary group via coprime architectures. No Clifford circuits alone; arithmetic unlocks full universality. Dramatic? Absolutely—like a street magician pulling infinite scarves from a hat, but rooted in Hilbert space geometry.

Why matters? Everyday analogy: baking a cake. Classical bits are your basic oven timers—precise, but limited recipes. Qubits scramble eggs in superposition, but noise burns them. These qudits? They're a smart oven that self-corrects mid-bake, using higher dimensions to weave error-free universality without extra ingredients. Google Quantum AI's Willow already echoed this, slashing a 3.2-year physics sim to 2 hours, 13,000 times faster than Frontier supercomputer, per their December wrap-up. Now, qudits propel us beyond, scaling to million-qubit beasts fitting closets, not warehouses—like Microsoft's Majorana 1 proving topological stability.

Feel the chill? That's coherence holding, entanglement dancing like synchronized fireflies in the dark. I see parallels everywhere: Wall Street bonds pricing 34% sharper via IBM's Heron, per HSBC trials, mirroring quantum markets bubbling with PsiQuantum's photonic billions. Craig Gidney warns 2048-bit RSA cracks with under a million noisy qubits—crypto's wake-up, echoing D-Wave's annealing wins at Ford, trimming schedules from 30 minutes to under 5.

This isn't hype; it's the inflection. From John's Martinis Nobel for tunneling foundations to Mikhail Lukin's 3,000 neutral-atom machines conquering loss, 2025 flipped the script. Quantum's no longer a demo—it's hybrid with NVIDIA's NVQLink, fueling AI kernels.

As the New Year chimes, harness this edge. Thank you, listeners, for riding these waves. Questions or topics? Email leo@inceptionpoint.ai. Subscribe to Quantum Dev Digest, and this has been a Quiet Please Production—for more, check quietplease.ai. Stay entangled.

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Hey, quantum pioneers, Leo here from Quantum Dev Digest. Imagine this: just days ago, China's Jinan-1 satellite beamed quantum entanglement over 12,900 kilometers, proving uplink communication isn't sci-fi—it's here, defying decades of doubt. Ground stations entangling photons, hurling them skyward like cosmic dice rolls that stay linked across continents. This is the quantum internet igniting, and I'm buzzing in my Mountain View lab, where the cryogenic hum of dilution fridges whispers secrets of superposition.

I'm Leo, your Learning Enhanced Operator, knee-deep in qubits at Inception Point. Picture me last night, staring at those arXiv preprints, the glow of my screen cutting through the chill air thick with helium mist. That Jinan-1 breakthrough? It's today's hottest discovery. They generated entanglement on Earth, uplinked it to orbit without decoherence shredding the fragile links. No billion-dollar quantum satellites needed—just relays, making global quantum networks 1,000 times cheaper, with unlimited ground power for stronger signals.

Why does it matter? Everyday analogy: think of your city's traffic jam. Classical internet is like solo cars crawling one lane, gridlocked. Quantum uplink? It's entanglement teleporting data instantly, cars vanishing and reappearing perfectly synced across highways, no jams. This slashes latency for quantum cloud computing, letting us distribute entangled states worldwide. Suddenly, drug discovery simulates molecules entangled across labs, finance optimizes portfolios with unbreakable keys, all while dodging eavesdroppers—hello, post-quantum crypto.

Let me paint the quantum guts: qubits aren't bits, those boring light switches flicking 0 or 1. Qubits spin in superposition, like coins mid-air embodying heads and tails simultaneously, probabilities dancing as α|0⟩ + β|1⟩. Entangle two? Measure one, the other's state snaps into perfect correlation, Einstein's "spooky action" at a distance. Jinan-1 harnessed this over space, photons paired in zero modes, surviving atmospheric turbulence via adaptive optics. I can almost feel the pulse of those lasers, the icy precision of cryostats holding qubits at millikelvin temps.

This arcs us from isolated chips—like Google's Willow crushing error thresholds 13,000 times faster than supercomputers—to a woven quantum web. We're below threshold now; errors shrink exponentially as qubits scale. PsiQuantum's photonics, QuEra's 3,000 neutral atoms, Microsoft's Majorana topological qubits—they're converging.

Quantum's drama unfolds: from warehouse behemoths to closet-scale powerhouses, mirroring how smartphones entangled our world. Jinan-1? The spark.

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Hey folks, Leo here from Quantum Dev Digest, your Learning Enhanced Operator diving straight into the quantum frenzy. Just days ago, on December 22nd, the VC firm DCVC dropped a bombshell report on how investors are sharpening their picks in our field, spotlighting IonQ's jaw-dropping 99.99 percent fidelity between two trapped-ion qubits. That's not hype—it's a seismic shift toward fault-tolerant quantum machines, where errors don't snowball into computational chaos.

Picture this: I'm in the sterile hum of IonQ's Maryland lab, the air chilled to near-absolute zero, lasers slicing through vacuum chambers like surgical beams. Trapped ions dance in electromagnetic traps, their quantum states entangled like lovers whispering across vast distances. IonQ's breakthrough? They've tuned those two qubits to fidelity levels that suppress noise, the pesky gremlin derailing most quantum ops. It's like finally getting a whisper network to broadcast crystal-clear amid a hurricane—fault-tolerant computing inches closer, promising algorithms that run marathon-length without collapsing.

Why does this matter? Grab your everyday analogy: classical computers are like a single chess grandmaster plotting one move at a time. Qubits? Spinning coins in superposition, exploring every board variation simultaneously until measurement snaps them to reality. IonQ's fidelity boost is the lubricant making that frenzy reliable. Suddenly, cracking optimization nightmares—like rerouting global supply chains snarled by that freak East Coast blizzard last week—becomes feasible. Or simulating molecules for miracle drugs, outpacing classical supercomputers by eons. Investors at DCVC see it: Atom Computing's neutral-atom arrays with Microsoft software echo this, but IonQ's ion trap precision steals the show right now.

Feel the drama? These qubits aren't just bits; they're probability waves crashing in Hilbert space, vectors of infinite potential. I see parallels everywhere—in stock tickers entangled like qubits during market dips, or urban traffic flows superposed until your GPS "measures" the optimal path. This isn't sci-fi; it's the pivot where quantum devops meets reality, reshaping finance, pharma, and energy grids.

We've bridged from noisy prototypes to error-suppressed powerhouses. The arc bends toward scalable supremacy.

Thanks for tuning in, listeners. Got questions or hot topics for the show? Email leo@inceptionpoint.ai. Subscribe to Quantum Dev Digest, and remember, this has been a Quiet Please Production—for more, check out quietplease.ai. Stay quantum-curious.

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Imagine this: a tiny chip, no bigger than your thumbnail, harnessing lasers with surgical precision to tame quantum chaos. That's the breakthrough from the University of Colorado at Boulder, unveiled just yesterday on December 26th. University of Colorado physicists have created the world's first microchip-sized device that controls laser frequencies for trapped-ion quantum computers, slashing power use by 80 times while packing in scalability we’ve only dreamed of.

Hi, I’m Leo, your Learning Enhanced Operator here on Quantum Dev Digest. Picture me in the humming cryolab at Inception Point, the air chilled to near-absolute zero, faint blue glows from dilution fridges pulsing like distant stars. My breath fogs the console as I calibrate qubits—those finicky quantum bits that defy classical logic, existing in superposition, both 0 and 1 until measured.

This Boulder chip? It’s a game-changer. Traditional modulators guzzle microwave power, generating heat that decoheres qubits faster than a bad commute ruins your day. But this bad boy uses phase modulation on a standard silicon fab line—same as your smartphone. Less power means less heat, so you cram more channels onto one chip, controlling hordes of ions dancing in electromagnetic traps. It’s like upgrading from a clunky old tractor to a swarm of precision drones farming data at lightspeed.

Why does it matter? Everyday analogy: think of rush-hour traffic. Classical computers are single-lane highways—bits crawl one by one, 0 or 1. Quantum computers? Multi-dimensional expressways where qubits entangle, superpose, tunneling through gridlock via interference. But errors from noise crash the party. This chip is the smart traffic AI, syncing laser pulses to steer ions flawlessly, enabling fault-tolerant scales. Suddenly, solving climate models or cracking molecular drug designs isn’t millions of years away—it’s tomorrow.

I see parallels everywhere. Just days ago, amid holiday buzz, D-Wave’s annealing rig in California smashed a materials puzzle supercomputers couldn’t touch in eons. And Quantum Motion’s silicon qubit machine at the UK’s NQCC? It’s CMOS qubits chilling at millikelvin, screaming scalability. These aren’t lab toys; they’re converging on universality, error-corrected logical qubits via USC’s overlooked particles stabilizing the fragile wavefunction.

Feel the drama? Qubits entwine like lovers in a cosmic ballet, phases twisting on the Bloch sphere—rotate a Hadamard gate, and superposition blooms, arrows of probability summing to miracles. One glitch, and it’s gone, but Boulder’s chip locks it down.

We’re on the cusp, folks. Quantum’s not sci-fi; it’s rewriting reality.

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No small talk today. Let’s step straight into the lab.

I’m Leo, your Learning Enhanced Operator, and a few days ago researchers at the University of Technology Sydney and their collaborators did something that sounds impossible: they showed that a ground-based transmitter can reliably send quantum signals to satellites, rather than forcing the satellite to generate fragile quantum states on board. According to the UTS team, this Earth‑to‑space quantum link could slash the cost and complexity of global quantum communication networks and quantum‑secure internet backbones.

Picture this: you’re trying to whisper a secret across a stadium during a thunderstorm. Classical lasers are like shouting through a megaphone. Quantum signals are more like a soap bubble carrying a handwritten note; one gust, one stray touch, and it pops. What this team has demonstrated is a way to launch those quantum soap bubbles from the field up to a drone circling the rafters, without them bursting on the way.

In technical terms, they carefully engineered single‑photon states, then pushed them through the turbulent atmosphere with adaptive optics and ultra‑low‑noise detectors, reconstructing how the quantum information evolved in flight. It’s like they mapped every eddy of the air and compensated in real time so the qubit’s phase and polarization stayed intact long enough to be useful. That’s huge, because long‑distance quantum key distribution and entanglement‑based networks live or die on loss and decoherence budgets.

Now zoom out to the rest of this wild week in quantum. IonQ’s record 99.99 percent two‑qubit gate fidelity and Silicon Quantum Computing’s claim of the “most accurate” silicon chip ever both point in the same direction: we’re no longer just making qubits; we’re making promises about reliability. Princeton’s new superconducting qubit that lasts roughly three times longer than previous designs pushes that same theme of coherence as a first‑class engineering spec, not a wish.

Here’s why the UTS space link fits right into this moment. On Earth, we’re learning how to keep quantum states clean inside cryostats and vacuum chambers. In orbit, we’re starting to prove we can launch those states across thousands of kilometers. It’s the difference between having a few brilliant soloists and finally wiring up a global quantum orchestra.

Think of the classical internet in the 1970s: a couple of lab‑to‑lab links, mainly for physicists and the military. That’s where we are with quantum right now. This new Earth‑to‑space bridge is like the first undersea cable—suddenly you’re not just connecting buildings, you’re connecting continents.

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Hey there, Quantum Dev Digest listeners—Leo here, your Learning Enhanced Operator, straight from the humming cryostats of Inception Point Labs. Picture this: just days ago, Google unveiled their Willow chip's "Quantum Echoes" algorithm, screaming across the cover of Nature, clocking 13,000 times faster than the world's fastest supercomputer at unraveling atomic dances in molecules via NMR spectroscopy. That's no lab trick—it's verifiable quantum advantage, honoring the 2025 Physics Nobel for Clarke, Devoret, and Martinis' qubit foundations.

I'm knee-deep in this, fingers chilled from tweaking superconducting loops at near-absolute zero, the faint whir of dilution fridges echoing like a cosmic heartbeat. But today's crown jewel? QuantWare's bombshell from the Netherlands—a 10,000-qubit processor, a 100x scaling monster announced December 9th, partnering with NVIDIA for quantum-AI hybrids via NVQLink and CUDA-Q. While Google's Willow and China's Zuchongzhi 3.0 flex million-fold speedups over rivals, this qubit avalanche shatters scaling walls that choked us for a decade.

Why does it matter? Grab your morning coffee—superposition's your barista juggling infinite pour-overs at once, not one drip by drip like a classical brewer. Two qubits? Four states simultaneously, exploding exponentially. Entangle them, and it's magical dice across the globe, always matching, no matter the miles—quantum correlations defying space. Now scale to 10,000: that's parallelism devouring drug simulations, cracking optimizations, fueling fusion dreams. Imagine your GPS rerouting a city's traffic in god-seconds, or AI fine-tuning billion-parameter models as Chinese teams just did on quantum rigs.

Feel the drama? In my lab, I fire a Hadamard gate—bam, qubit spins into superposition, an arrow whirling on Bloch's sphere like a coin mid-flip, heads and tails blurring. CNOT entangles it, Pauli-X flips with eerie precision. Interference waves crash, amplifying truths, silencing noise—like an orchestra tuning chaos to symphony. This isn't sci-fi; it's Willow echoing molecular whispers for better meds, QuantWare's beast merging with NVIDIA to birth hybrid brains solving the unsolvable.

We're not replacing laptops—these are specialized titans for cryptography threats, gravity-entanglement puzzles from fresh Annals papers, Princeton's compatible chips syncing with Google and IBM. The quantum age ignites now.

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This is Leo, your Learning Enhanced Operator, and today I’m broadcasting from a dilution fridge lab that hums like a distant thunderstorm, 10 millikelvin above absolute zero, where the air smells faintly of cold metal and liquid helium.

You’ve probably seen the headlines: a Dutch startup called QuantWare just announced the world’s first 10,000‑qubit quantum processor, a 100x leap in scale, and they’re wiring it straight into NVIDIA’s AI supercomputing stack through NVQLink and CUDA‑Q. First Movers and others are calling it the day quantum computing went from “someday” to “inevitable.”

Let me tell you why this matters, in human terms.

Imagine you’re in a giant library—millions of books, no catalog. A classical computer is a very fast but very tired librarian, running down the aisles, checking one book at a time. A small quantum computer is like having a team of librarians who can fan out, skim many books at once, and then meet to compare notes.

A 10,000‑qubit processor is different. It’s like the entire library itself becoming alive—every shelf, every page vibrating with possibilities—and when you ask a question, the shelves rearrange so the right books drift toward you. That’s what massive superposition and entanglement feel like at this scale: the problem space warps to highlight the answers.

QuantWare’s real trick isn’t just qubit count; it’s engineering. At this scale, every qubit is as fragile as a soap bubble in a hurricane. We fight decoherence with superconducting circuits, nanofabrication precision, and error-mitigation schemes that are finally starting to look like full quantum error correction. When you hear “100x scaling leap,” what you’re really hearing is “we’ve stopped adding qubits one painful dozen at a time and started adding them like data‑center racks.”

Now tie that to NVIDIA. Picture a Formula 1 race team: the classical GPUs are the race cars—blazing fast, optimized, battle-tested. The quantum processor is the wind tunnel and physics lab, running bizarre simulations that no classical machine can touch. Integrating them means you don’t have to choose. Your AI can train on GPUs while offloading the nastiest optimization or quantum‑chemistry subproblems to this icy, humming alien co‑processor downstairs.

In the same week that governments argue over AI regulation and climate deadlines, labs are literally wiring up machines that can simulate new catalysts, new batteries, and new drugs at the level of quantum mechanics. The headlines talk about rivalry—China’s Zuchongzhi, Google’s Willow, IBM’s roadmaps—but underneath, the real story is convergence: quantum, AI, and high‑performance computing becoming one stack.

You’ve been listening to Quantum Dev Digest. Thanks for tuning in. If you ever have questions or topics you want me to tackle on air, just send an email to leo@inceptionpoint.ai. Don’t forget to subscribe to Quantum Dev Digest. This has been a Quiet Please Production, and for more information you can check out quiet please dot AI.

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Hey folks, Leo here from Quantum Dev Digest—your Learning Enhanced Operator diving straight into the quantum frenzy. Just days ago, on December 17th, researchers at the University of Technology Sydney shattered what seemed impossible: proving we can beam quantum signals from Earth up to satellites, not just down from space. According to UTS's Professor Simon Devitt, this uplink breakthrough, detailed in Physical Review Research, flips the script on quantum networks, making global quantum internet cheaper and more scalable with ground-based transmitters and low-Earth orbit sats.

Picture this: I'm in the dim-lit cryolab at Inception Point, the air humming with the faint whir of dilution fridges chilling superconducting qubits to near absolute zero. Frost clings to the viewports as I tweak a dilution refrigerator, its helium isotopes dancing in a quantum ballet to keep decoherence at bay. That's the world where this matters. Quantum entanglement—those spooky links where qubits mirror each other instantly, like magical dice always rolling the same number no matter the distance—demands fragile photons. Before, satellites like China's Micius generated them in orbit, but noise from atmosphere wrecked uplinks. Now, UTS shows we can entangle photons on Earth, shoot them skyward through adaptive optics, and distribute entanglement to space reliably. It's like whispering secrets to a friend across a stormy ocean without the waves garbling your voice—using interference to amplify the signal and cancel chaos.

Why does this electrify me? Everyday analogy: Think of your city's power grid. Classical networks are like wired pylons—reliable but rigid. Quantum uplinks turn it into a wireless web spanning continents, fueling unhackable comms, quantum-secured finance, or even linking AI superclusters. Professor Devitt notes it'll need more photons for bandwidth, connecting quantum computers seamlessly. This builds on QuantWare's fresh 10,000-qubit processor leap and PsiQuantum's fault-tolerant push by 2028, edging us toward utility-scale machines that crack drug discovery or optimization puzzles classical rigs can't touch.

Feel the drama? Qubits in superposition hover in multiple states, entangled pairs tugging across voids, interference waves crashing to reveal truth—like an orchestra tuning chaos into symphony. We're not just computing; we're rewriting reality's code.

Thanks for tuning in, listeners. Got questions or hot topics? Email leo@inceptionpoint.ai—we'll discuss on air. Subscribe to Quantum Dev Digest, and remember, this is a Quiet Please Production. For more, check quietplease.ai. Stay quantum.

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Imagine this: a device so tiny it's nearly 100 times smaller than a human hair, yet it could orchestrate the lasers taming millions of qubits into a symphony of computation. That's the breakthrough from University of Colorado Boulder researchers, published just days ago in Nature Communications, shrinking optical phase modulators to chip-scale perfection.

Hello, quantum trailblazers, I'm Leo, your Learning Enhanced Operator, diving deep into Quantum Dev Digest. Picture me in the humming chill of a Boulder lab, where cryogenic vapors curl like quantum ghosts, and lasers pulse with ethereal blue fire. These modulators, crafted with the same scalable fabs that birth your smartphone chips, generate precise frequency shifts for trapped-ion qubits. No more bulky tabletop behemoths guzzling microwave power—they're relics, like vacuum tubes before transistors revolutionized electronics.

Why does this matter? Think of rush-hour traffic in Toronto, where cars jam every lane, inching toward gridlock. Classical control is sequential: one light at a time, endless delays. Quantum lasers, powered by these mini-marvels, are like a traffic AI superpositioning all routes at once—entangled signals flipping phases, carving pulses, filtering chaos into harmony. Suddenly, thousands of qubits dance in unison, solving optimization nightmares from drug discovery to cryptography. As Otterstorm's team pushes toward fully integrated photonic circuits, we're on the cusp of fault-tolerant giants.

This isn't sci-fi. Just two days ago, on December 15th, Canada's Minister Solomon unveiled the Canadian Quantum Computing Program in Toronto, pumping up to $23 million each into trailblazers like Xanadu and Photonic. They're benchmarking fault-tolerant beasts for real-world havoc—defence crypto, materials that defy physics. Entanglement links these qubits like invisible threads in a global web, where measuring one collapses probabilities across the system, echoing Schrödinger's cat: alive and dead until observed.

Feel the drama? Qubits in superposition whirl like coins mid-flip, exploring every path. A Hadamard gate spins them into multiplicity; CNOT entangles, amplifying the right answer via interference, Grover-style. In that golden chandelier of wires—chirping like a cosmic treadmill at Yale's rigs—these devices will scale us to 10,000-qubit leaps, as Dutch labs just hinted.

This puzzle piece unlocks the scalable quantum era. We're not just computing; we're rewriting reality's code.

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They didn’t just add more qubits this week—they changed the skyline. QuantWare in Delft unveiled its VIO-40K processor, a 10,000‑qubit superconducting chip built with a 3D wiring architecture that boosts qubit capacity a hundredfold over today’s Google and IBM‑style devices, according to IO+ and LiveScience. QuantWare’s CEO Matt Rijlaarsdam said this removes the “scaling barrier” and opens a path to economically relevant quantum computers.

I’m Leo, your Learning Enhanced Operator, and I’ve spent enough nights staring at dilution fridges to know: scaling isn’t just a numbers game, it’s survival. Picture a typical superconducting quantum lab: a golden chandelier of coaxial cables plunging into a steel cylinder humming at temperatures colder than deep space. Every extra qubit demands another control line, another microwave tone, another chance for noise to slip in. At around a hundred qubits, the wiring looks like a spaghetti monster welded to a rocket engine.

What QuantWare has done is the quantum equivalent of inventing the skyscraper. Instead of laying out all the wiring flat like a suburb of single‑story houses, they’ve gone vertical—stacking control lines and chiplets in 3D so thousands of qubits can share a compact footprint while still being individually addressed. It’s like taking Manhattan from brownstones to glass towers: same island, radically more people, totally different city.

Here’s why that matters, using an everyday analogy. Think about rush‑hour traffic in a major city. With a handful of cars, you can plan routes with a paper map. With millions, you need real‑time navigation that juggles construction, weather, and accidents. Classical computers are those paper maps—fast, familiar, but fundamentally limited as complexity explodes. A 10,000‑qubit processor is like suddenly having a control room of quantum traffic controllers exploring countless routing options at once.

Now connect that to real work. Qubit Pharmaceuticals just showed quantum algorithms can outpace classical limits for messy, irreversible processes like protein folding, and they even ran hydration‑site predictions for drug design on IBM’s Heron hardware in about 25 minutes with over a hundred qubits. Give that kind of algorithm a 10,000‑qubit canvas, and you’re not just tweaking drug candidates—you’re redesigning the entire discovery pipeline, from screening to binding dynamics.

And this isn’t happening in isolation. University of Chicago teams are extending quantum network distances by orders of magnitude using rare‑earth ions, while new nanoscale optical modulators in Nature Communications shrink key laser‑control hardware to a fraction of a human hair. The ecosystem is quietly assembling the pieces: scalable processors, efficient control, and long‑range quantum links.

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 Quantum Dev Digest. This has been a Quiet Please Production, and for more information you can check out quiet please dot AI.

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You’re listening to Quantum Dev Digest, and I’m Leo — Learning Enhanced Operator — coming to you from a lab that hums like a freezer crossed with a spaceship.

Let’s dive straight in.

Yesterday, researchers from the University of Colorado Boulder and Sandia National Laboratories announced something deceptively tiny: an optical phase modulator almost 100 times thinner than a human hair, built on standard CMOS fabrication. According to the team led by Jake Freedman and Matt Eichenfield, this chip can precisely sculpt laser light using microwave vibrations, while consuming about 80 times less power than today’s bulky tabletop modulators.

Why should you care about a sliver of glass and metal you’ll never see?

Picture rush-hour traffic in a megacity. Right now, our largest quantum computers are like having just a few well-trained taxis in that city — powerful, but bottlenecked by the dispatch system. Every trapped-ion or neutral-atom qubit is a “car” that needs its own carefully tuned “radio channel” of laser light to know when to stop, go, or take a quantum detour into superposition. Our current laser control gear is the equivalent of running the entire city from a single, overheating dispatch office full of analog radios and tangled cables.

This new chip is like embedding a smart, ultra-efficient dispatcher in every neighborhood, on a wafer. Instead of one clunky box per beamline, you tile thousands — eventually millions — of identical photonic controllers on a single chip. Suddenly, scaling to a city of quantum traffic doesn’t feel like science fiction; it feels like urban planning.

In the lab, that means fewer refrigerator-sized racks of optics and more quiet, chip-level orchestration. The modulators ride microwave-frequency vibrations — billions of oscillations per second — to carve and shift laser frequencies with surgical precision. To a qubit, that’s the difference between a shouted instruction across a crowded room and a whisper directly into its ear.

Now connect this to the week’s other headlines: QuantWare in Delft just announced its VIO-40K 10,000‑qubit processor, using a 3D architecture to route 40,000 control lines through interconnected chiplets. At the same time, QuEra and its Harvard–MIT collaborators are pushing neutral-atom systems toward fault tolerance. Hardware is breaking through the qubit-count ceiling; Colorado’s photonic chip is quietly solving the “how do we talk to all of them without melting the lab?” problem.

The everyday analogy? Think of smartphones. Transistors only changed the world once we could manufacture billions of nearly identical ones on a chip. These optical modulators are the transistors of laser control. They don’t just make quantum computers bigger; they make “more” finally manageable.

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

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I’m Leo, your Learning Enhanced Operator, and today I’m speaking to you from a lab humming at four kelvin, where cables glitter like frozen lightning around a quantum processor that just changed the scale of the game.

This week, the Dutch company QuantWare announced its VIO-40K architecture, the first superconducting quantum processor wired in 3D to support 10,000 qubits on a single chip. QuantWare calls it a 100‑fold leap over the ~100‑qubit processors you hear about from IBM and Google, and for once, the word “breakthrough” isn’t marketing fluff.

Picture your everyday laptop like a crowded city built on one flat street. Every new building has to squeeze onto that same road. That’s how traditional quantum chips have been wired: everything crammed in from the edges. QuantWare’s approach is more like dropping in skyscrapers with elevators that connect from underneath. Suddenly, you aren’t limited by curb space; you build upward. This vertical wiring is to quantum hardware what high‑rises were to Manhattan.

Why does that matter? Because quantum advantage doesn’t come from a handful of pristine qubits; it comes from armies of noisy ones, woven together with error correction. To do useful chemistry, optimization, or cryptography, we need logical qubits built from thousands of physical qubits. When you jump from hundreds to tens of thousands of physical qubits on a single, coherent device, error‑corrected algorithms stop being whiteboard fantasies and start looking like engineering roadmaps.

Let me ground that in an everyday analogy. Think about today’s global supply chains: container ships stuck outside ports, delivery routes snarled by weather and protests, humanitarian food deliveries racing against time. Classical computers already juggle this, but they hit combinatorial walls. A large‑scale quantum processor is like adding an entire parallel Earth where you can explore billions of routing possibilities at once, then bring back only the best itinerary to this world.

Under the hood, each of those 10,000 qubits is a tiny superconducting circuit, chilled to near absolute zero, where electrical currents flow without resistance and behave like waves instead of marbles. When we entangle these qubits, their fates merge; flip one here, and its partner “knows” instantly, like perfectly synchronized coins spinning in locked step. The challenge has always been getting enough of them, close enough, quiet enough. That’s what a 3D‑wired, hyper‑dense chip starts to deliver.

If we can tame the noise on hardware like this, you’ll see quantum solvers nudging down delivery costs, tightening up power grid stability, even squeezing more meals out of the same humanitarian budget. Not science fiction—just very hard engineering finally getting its skyscrapers.

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The funny thing about today’s headlines is that they read like my lab notes. Nu Quantum just announced a 60 million dollar Series A to build quantum networking hardware, while the University of Chicago team pushed quantum links toward thousands of kilometers. Both stories are really about one discovery: we’re finally learning how to keep fragile quantum states alive long enough to matter.

I’m Leo, your Learning Enhanced Operator, and I’m standing in a chilled, humming lab surrounded by dilution refrigerators and fiber spools. In one corner, engineers are sketching architectures inspired by QuantWare’s new VIO-40K 3D design and Fujitsu’s 10,000‑qubit roadmap. In another, we’re staring at a single erbium atom in a crystal, coaxed into holding quantum information for more than ten milliseconds, exactly the kind of advance Chicago just reported.

Here’s the discovery in plain terms: we can now preserve quantum coherence long enough to realistically stitch quantum computers together over continental distances. Think of coherence as the “memory of the magic trick.” Usually, the trick falls apart in a fraction of a millisecond. Now, with carefully grown rare‑earth crystals and nanofabrication techniques, that memory lingers, letting us entangle nodes over fiber like cities along a quantum high‑speed rail.

Why does that matter? Imagine the internet as a series of restaurant kitchens. Today, each kitchen cooks alone. A quantum internet turns those kitchens into a single, perfectly synchronized mega‑kitchen that can tackle dishes no single chef could handle. For climate modeling, drug discovery, or financial risk analysis, that means sharing entangled “ingredients” across the globe and cooking one enormous calculation together, instead of mailing recipes back and forth.

Technically, this revolves around a spin‑photon interface: a rare‑earth ion acts as a qubit, its spin encoding information, while a photon at telecom wavelength ferries that information down standard fiber. By fabricating the host crystal with molecular‑beam epitaxy instead of traditional methods, the defects and noise shrink, and coherence times stretch from 0.1 to beyond 10 milliseconds. That jump turns “lab curiosity” into “network component.”

As investors back startups like Nu Quantum and hardware vendors chase 10,000‑qubit processors, these long‑lived networked qubits become the glue. Fault‑tolerant processors won’t live in one giant fridge; they’ll be federated islands, stitched together by these quiet, time‑extended photons.

You’ll feel this first not as a shiny gadget, but as better medicines discovered faster, cleaner materials designed more precisely, and logistics that waste less energy. The quantum rail lines will be hidden, but their timetables will shape your world.

Thanks for listening. If you ever have questions, or topics you want discussed on air, send an email to leo@inceptionpoint.ai. Remember to subscribe to Quantum Dev Digest. This has been a Quiet Please Production, and for more information you can check out quiet please dot AI.

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You’re listening to Quantum Dev Digest, and I’m Leo — Learning Enhanced Operator. Let’s skip the small talk and get straight to the qubits.

The most interesting quantum discovery this week comes out of Stanford University, where Jennifer Dionne’s group has demonstrated a nanoscale device that entangles light and electrons at room temperature. According to Stanford News and Phys.org, they’re using silicon nanostructures and a special material called a transition metal dichalcogenide to generate what they poetically call twisted light — photons whose spin corkscrews through space instead of just marching straight.

Why does that matter? Picture today’s quantum computers as giant walk-in freezers, hulking dilution refrigerators humming at temperatures colder than deep space. Every calculation is like hosting a dinner party in Antarctica: the food might be exquisite, but the logistics are absurd. This new device is like learning you can cook a Michelin-star meal on a normal kitchen stove.

In the lab, that “kitchen” looks like a polished silicon chip under a microscope objective, bathed in laser light so tight and bright it feels almost surgical. On the screen, I’d see a ghostly pattern of interference fringes while the control software whispers: photon spin aligned, electron spin entangled. No cryostat roar. No frost creeping up stainless-steel lines. Just a warm optical table and a chip smaller than your fingernail.

Here’s the everyday analogy: think about your phone’s camera. Early digital cameras were bricks; now you barely notice the sensor hiding behind the glass. This twisted‑light device is like the first tiny CMOS image sensor for quantum — a hint that someday, pieces of a quantum network could disappear into the bezel of your laptop or the back of a server rack, instead of monopolizing an entire lab.

And it connects directly to what’s happening elsewhere. At Fermilab’s SQMS 2.0 initiative, they’re pushing superconducting qubits to unprecedented coherence inside massive cryogenic systems. In Israel, the IQCC just installed Qolab’s new superconducting processor, built on the Nobel‑recognized work of John Martinis, to make large, stable quantum chips for global researchers. Put those together with Stanford’s room‑temperature photonic interface and you can feel the architecture shifting: cold, powerful cores at the center; warm, efficient quantum “edge devices” handling communication and preprocessing.

When I read about today’s strained power grids and overheated data centers, I see the same story. Classical computing scales by burning more watts; quantum must scale by becoming more elegant. Entangling electrons with twisted light at room temperature is elegance made silicon — a pathway to quantum that doesn’t require us to freeze the planet to compute with it.

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 Quantum Dev Digest. This has been a Quiet Please Production. For more information, check out quiet please dot AI.

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