This is your Quantum Tech Updates podcast.

Blink, and you might have missed it: this week, a Dutch startup called QuantWare announced VIO‑40K, a 3D architecture they say can pack quantum processors with up to 10,000 superconducting qubits—about 100 times more than most chips in labs today. QuantWare calls it a “scaling breakthrough,” and from where I sit, in a chilly control room full of dilution refrigerators and humming microwave racks, it feels like watching the quantum equivalent of the first integrated circuit come to life.

I’m Leo, your Learning Enhanced Operator, and here’s why this matters.

Think of a classical bit as a tiny light switch: it’s either on or off, 1 or 0. A quantum bit—our qubit—is more like a perfectly balanced dimmer in a dark theater. It can be 1, 0, or any “blend” of both at once, and when we wire many of these dimmers together using entanglement, they stop acting like individual switches and start behaving like a single, choreographed light show.

Now imagine trying to choreograph not dozens, but ten thousand of those dimmers, each colder than deep space, each exquisitely sensitive to the faintest electrical whisper. Until now, the real bottleneck wasn’t just inventing qubits; it was physically routing control lines, shielding them from noise, and fitting all of that into something smaller than a building. QuantWare’s 3D architecture essentially stacks and fans out the control infrastructure in layers, the way skyscrapers let cities grow upward instead of endlessly outward. Same qubits, radically smarter real estate.

And this isn’t happening in isolation. Fujitsu, for example, has laid out a roadmap to a 10,000‑qubit superconducting system by 2030, explicitly targeting around 250 high-quality logical qubits—qubits protected by error correction that behave more like those crisp, reliable classical bits you trust in your phone or bank account. Logical qubits are to physical qubits what a well-insulated house is to bare studs: layers of protection that keep the fragile quantum information from leaking away.

Meanwhile, on the networking side, Nu Quantum just raised a major Series A round to build what they call an “Entanglement Fabric”—a photonic backplane that can stitch separate quantum processors together, turning individual quantum chips into something more like a global supercomputer campus.

When you connect the dots—3D-scaled 10,000-qubit chips, roadmaps to fault-tolerant logical qubits, and quantum networking startups weaving processors into distributed machines—you can feel the field clicking from speculative to infrastructural. This is the moment when quantum starts to look less like a lab curiosity and more like the early internet: messy, fragile, but undeniably real.

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This is your Quantum Tech Updates podcast.

You’re listening to Quantum Tech Updates, and I’m Leo – Learning Enhanced Operator – coming to you straight from a lab where the air hums at four kelvin and the coffee is strictly room temperature.

Let’s dive right in.

This week, the Israeli Quantum Computing Center in Tel Aviv switched on a new superconducting quantum processor from Qolab, led by Nobel laureate John Martinis. According to Quantum Machines, it’s the first deployment of this next-generation superconducting qubit device in a national quantum hub, and it is a genuine hardware milestone.

Here’s why it matters.

Think of a classical bit as a light switch: it’s either on or off, 1 or 0. Simple. A qubit is more like a perfectly balanced coin spinning in the air. While it spins, it’s not just heads or tails; it lives in a shimmering blend of both. That superposition lets a modest number of qubits explore an astronomical number of possibilities at once.

Now imagine not just one coin, but a whole pile of them spinning in perfect choreography. That’s entanglement: nudge one, and the others respond, even if they’re far apart. That collective dance is what turns a quantum processor from a science project into a machine that can outmaneuver classical supercomputers on very specific, brutally hard problems.

The challenge has always been that our spinning coins are divas. Superconducting qubits are exquisitely sensitive; the slightest magnetic hiss, a stray photon, a wobble in the wiring, and the coin tumbles, the quantum state collapses, and your computation evaporates.

What Qolab has delivered to the IQCC is a processor explicitly engineered to tame that chaos: qubits designed to suppress flux noise, extend coherence, and be fabricated repeatably, like chips instead of snowflakes. In practical terms, it’s like moving from hand‑wired prototype radios to integrated circuits that roll off a production line.

At Fermilab’s Exploring the Quantum Universe symposium, Anna Grassellino and colleagues talked about this exact pivot: from heroic one‑off devices to industrially reproducible quantum hardware. Qolab’s system in Tel Aviv is a concrete manifestation of that shift, plugged into a center that already co‑locates multiple quantum modalities with high‑performance classical computing and global cloud access.

Here’s the everyday parallel. Right now, accessing leading‑edge quantum hardware feels like booking time on a national telescope. With installations like this, it starts to feel more like logging into a data center – still specialized, but shared, networked, and dependable enough that an algorithm written in Boston can drive experiments in Tel Aviv overnight.

As these robust qubits scale into hundreds, then thousands, the gap between theoretical quantum advantage and practical quantum utility closes. The spinning coins get calmer, the plumbing gets saner, and the problems we can attack – from materials to optimization – get far more ambitious.

Thanks for listening. If you ever have questions or topics you want discussed on air, just send an email to [email protected]. Don’t forget to subscribe to Quantum Tech Updates. This has been a Quiet Please Production; for more information, check out quiet please dot AI.

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This is your Quantum Tech Updates podcast.

I’m Leo, your Learning Enhanced Operator, and today I’m standing in a control room that’s colder than deep space, watching a very hot story unfold.

Three days ago in Tel Aviv, the Israeli Quantum Computing Center switched on the first Qolab superconducting-qubit processor, led by Nobel laureate John Martinis and powered by Quantum Machines control electronics. This is not just another chip; it’s a new hardware milestone in how we build and share quantum power across the globe.

Think of it this way: a classical bit is a light switch, strictly on or off. A qubit is a perfectly balanced dimmer that can be off, on, and every shimmering shade in between at the same time. The new Qolab device is about making millions of those dimmers identically smooth, quiet, and controllable, so when we line them up, we don’t get a noisy stadium of flickers, we get a synchronized laser show.

In the IQCC lab, that laser show happens inside a dilution refrigerator humming softly, its metallic shields frosted with a thin blur of cold. Cables as thin as violin strings carry microwave pulses down to a thumbnail-sized chip. Each pulse shapes a qubit’s quantum state, like a conductor raising or stilling a section of the orchestra by the slightest motion of a hand.

What makes this week’s milestone special is not just fidelity, but repeatability. Qolab has engineered superconducting qubits to suppress flux noise and decoherence, the twin vandals that usually smash our delicate superpositions. In plain language: the qubits stay in their quantum both-at-once state longer, and they’re fabricated reliably enough that one chip behaves much like the next. That’s the transition from artisanal prototypes to an actual product line.

And here’s where the world outside the fridge comes in. According to Quantum Machines, those same Qolab processors in Madison, Wisconsin, are now accessible through the Israeli Quantum Computing Center cloud. A researcher in Chicago, a startup in Bangalore, a national lab in Sydney can all dial into the same next-generation hardware. It’s the quantum equivalent of when the early internet first linked supercomputers into a shared grid.

While climate negotiators argue about energy efficiency and AI labs push classical GPUs to their thermal limits, this new superconducting platform hints at a different path: fewer, more powerful quantum operations doing work that would take classical bits millennia. It’s a quiet infrastructure story, but it’s exactly these unseen connections that shape the next decade.

Thanks for listening. If you ever have questions or topics you want discussed on air, send an email to [email protected]. Don’t forget to subscribe to Quantum Tech Updates. This has been a Quiet Please Production, and for more information you can check out quietplease.ai.

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This is your Quantum Tech Updates podcast.

The hum of the dilution refrigerator is my favorite soundtrack—like a distant blizzard sealed behind steel, guarding a forest of qubits colder than deep space. I am Leo, Learning Enhanced Operator, and today the lab feels different. Google’s Willow chip has just pushed us into what its team calls verifiable quantum advantage, using 65 qubits to simulate a complex quantum system thousands of times faster than the Frontier supercomputer. According to reports from Nature and coverage in the Financial Times, this is no longer a parlor trick; it is a benchmark others now have to chase.

So what’s the latest quantum hardware milestone, really? Think of it this way: a classical bit is a coin lying flat—heads or tails, 0 or 1. A qubit is that same coin spinning in midair, exploring many possibilities at once until you look. When you wire up 65 of those spinning coins and keep them stable long enough, you can explore landscapes of possibilities so vast that even the biggest classical machines can only approximate them. Google’s Willow processor, driven by its Quantum Echoes algorithm, shows that this isn’t just theory; the chip actually outran the world’s top classical hardware on a physics simulation that matters to real research.

Meanwhile, in Europe, startups like Isentroniq are attacking a much less glamorous but absolutely crucial problem: wiring. One investor recently joked that a million-qubit superconducting machine would take ten football fields of hardware at today’s scale. Isentroniq’s cryo-interconnect tech aims to pack roughly a thousand times more qubits into the same refrigerator volume, slashing that hypothetical mega-machine down to something that looks more like a data center rack than a stadium. That’s the difference between “cool science story” and “installed next to your company’s GPU cluster.”

And the story isn’t just in computing. At Stanford, researchers are demonstrating quantum signaling devices edging toward room temperature, hinting that one day quantum communication hardware could slip into ordinary chips and handheld devices instead of living only in cryogenic bunkers. At the University of Chicago, theorists are comparing this moment to the early days of the transistor: awkward, fragile, expensive—until suddenly it isn’t, and your whole civilization quietly rewires itself.

Here in the lab, watching interference fringes bloom on a screen as qubits entangle, it feels a bit like covering breaking news from another universe. Politicians argue over AI regulation; investors debate whether GPUs have peaked; and underneath those headlines, our fragile qubits are learning to stay coherent longer, talk to each other more cleanly, and prove they’re actually right using new validation methods that catch hidden errors in minutes instead of millennia.

You’ve been listening to Quantum Tech Updates. Thank you for tuning in. If you ever have questions or topics you want discussed on air, just send an email to [email protected]. Don’t forget to subscribe to Quantum Tech Updates, and remember, this has been a Quiet Please Production—for more information, check out quietplease dot AI.

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This is your Quantum Tech Updates podcast.

You know, I love starting my week on Monday mornings with coffee and quantum breakthroughs, but this week's been absolutely electric. Just last week, we hit something genuinely transformative that I have to walk you through because it changes everything we thought we knew about validating quantum machines.

Picture this: you're standing in front of a quantum computer that claims it just solved a problem that would take classical supercomputers thousands of years to crack. Pretty wild, right? But here's the million-dollar question—how do you know it's actually right? That's been keeping quantum researchers up at night for years.

Enter the game-changer. Scientists just unveiled a technique that can validate quantum computer results in minutes instead of millennia. Think of it like this: classical computers are like careful accountants, checking every single ledger entry. Quantum computers are more like magicians performing tricks with light particles called photons. When a magician performs, you need someone who actually understands magic to verify they didn't just swap the rabbit. That's what these researchers did. They developed new methods to confirm whether Gaussian Boson Samplers, these photon-based quantum devices, are producing legitimate results or just noise.

What makes this breakthrough absolutely critical is the commercial angle. Companies like Q-CTRL have already demonstrated the first true commercial quantum advantage in GPS-denied navigation, outperforming classical alternatives by over a hundred times in real-world flight tests. But imagine scaling that up without being able to verify your results. It's like building an airplane without instruments—technically possible but absolutely terrifying.

The significance here is almost poetic. We've been stuck in this quantum catch-22: these machines perform calculations too complex for us to verify, yet we need to trust them for real applications. This new validation technique shatters that deadlock. It's the difference between having a powerful tool you can't trust versus having a powerful tool you can rely on completely.

Think about the implications rippling through industries. Drug development, artificial intelligence, cybersecurity—all these fields have been waiting for quantum computers that not only work but that they can prove work. We're watching the transition from theoretical possibility to commercial reality happen in real time.

This is exactly the kind of moment that reminds me why I'm obsessed with this field. We're not just building faster computers; we're fundamentally reshaping how we solve humanity's hardest problems.

Thanks so much for joining me on Quantum Tech Updates. If you've got questions or topics you want discussed on air, shoot me an email at [email protected]. Don't forget to subscribe to Quantum Tech Updates, and remember, this has been a Quiet Please Production. For more information, visit quietplease.ai.

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Hey everyone, Leo here, and I've got to tell you, December first, twenty twenty-five will be remembered as the day quantum computing stopped being a future promise and became present reality.

Just yesterday, researchers at Swinburne University unveiled something extraordinary. They figured out how to validate quantum computer results in minutes instead of millennia. Think about that for a second. Previously, checking if a quantum computer gave you the right answer would take longer than the universe has existed. Now we can verify it before your coffee gets cold. This changes everything about trustworthiness in quantum systems.

But here's what really has me excited today. Let me take you back to December of last year when Google announced their Willow chip, and I'm going to explain what makes it so significant using something you interact with every single day.

Imagine classical bits like light switches. They're either on or off, one or zero. Simple, binary, deterministic. Now imagine a qubit like a spinning coin mid-air. While it's spinning, it's both heads and tails simultaneously. That's superposition. The moment you catch it, it becomes one or the other. That's the fundamental difference, and it's why quantum computers can explore vastly more possibilities at once.

Google's Willow achieved something researchers pursued for three decades called below-threshold error correction. Previously, adding more qubits was like adding more spinning coins to your equation, except each new coin made the whole system shakier, more error-prone. It seemed like a dead end. But Willow proved that with sophisticated error correction codes, scaling from three by three to seven by seven qubit arrays actually halved the error rate with each scaling step. The system got more stable, not less. This is the breakthrough that makes building large-scale quantum computers actually feasible.

The significance here is that Willow performed a calculation in under five minutes that would consume ten septillion years on today's fastest supercomputers. That's not just faster. That's incomprehensibly, mathematically beyond-our-intuition faster. To give you perspective, the universe itself is only thirteen point eight billion years old.

Meanwhile, researchers demonstrated something called the Quantum Echoes algorithm running thirteen thousand times faster than classical alternatives, and this time it actually measures molecular structures with scientific relevance. We're past the phase of artificial benchmarks. This is real-world quantum advantage arriving on schedule.

IonQ just hit ninety-nine point nine nine percent two-qubit gate fidelity, claiming they'll deliver two million qubits by twenty thirty. That's a commitment backed by technical progress we're witnessing month after month.

We're watching the inflection point unfold in real time, folks. Thank you for joining me on Quantum Tech Updates. If you have questions or topics you'd like discussed on air, email [email protected]. Please subscribe to Quantum Tech Updates. This has been a Quiet Please Production. For more information, check out quietplease.ai.

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Good morning, quantum enthusiasts. This is Leo, and welcome back to Quantum Tech Updates. We're living through something extraordinary right now, and I need to tell you about it.

Just this week, we've witnessed breakthroughs that would've seemed impossible mere months ago. Imagine if you could take everything your classical computer can do and multiply it by the sheer possibility of quantum mechanics. That's what's happening in labs around the world right now.

Let me paint you a picture. Over at New York University, my colleagues just accomplished something genuinely remarkable. They've created a new superconductor by replacing one in every eight germanium atoms with gallium atoms. Now, here's where it gets interesting. Think of classical bits like light switches, right? On or off. Binary. Simple. But quantum bits, qubits, they're more like spinning coins suspended in mid-air. They exist in multiple states simultaneously until measured. That's superposition, and it's the superpower that makes quantum computing extraordinary.

What NYU achieved is different though. They created a material that superconducts at 3.5 Kelvin, and here's the kicker, they did it using molecular beam epitaxy. Instead of bombarding semiconductors like previous attempts, they layered the materials atom by atom. No damage to the crystal structure. Perfect atomic precision. This matters because disorder is the enemy of quantum computing. It causes decoherence, where your qubits lose their quantum properties and collapse into classical behavior. This new material maintains incredible crystallinity.

But there's more. IBM and Cisco just announced they're building a distributed quantum network. Think of current quantum computers as isolated islands of computation. IBM and Cisco want to build quantum bridges between them. They're targeting a two-machine entanglement proof-of-concept by 2030. This is distributed quantum computing, and it could enable algorithms too massive for any single device.

Meanwhile, over in Edinburgh, researchers at Heriot-Watt University have demonstrated something equally stunning. They've built a quantum network routing entanglement on demand through optical fiber. Using shaped light pulses, they programmed standard fiber cables into powerful quantum circuits. They achieved multiplexed entanglement teleportation across four users simultaneously.

And just last week, Saudi Arabia deployed its first quantum computer with Aramco using neutral-atom technology. The quantum computing revolution isn't just happening in Silicon Valley anymore. It's global.

What excites me most is the pace of convergence. We're seeing hardware breakthroughs, networking solutions, and international deployment happening simultaneously. The timelines are accelerating. Google's CEO recently suggested major breakthroughs could arrive within five years, echoing the rapid acceleration we saw with AI.

We're standing at the threshold of something transformative. Materials that shouldn't work by yesterday's physics are working today. Networks that seemed theoretical are becoming practical. This is the quantum computing era arriving.

Thank you for joining me on Quantum Tech Updates. If you have questions or topics you'd like explored on air, send an email to [email protected]. Subscribe to Quantum Tech Updates, and remember, this has been a Quiet Please Production. For more information, visit quietplease.ai.

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Welcome back to Quantum Tech Updates. I'm Leo, your Learning Enhanced Operator, and today I'm absolutely buzzing with excitement because we've just witnessed something that could fundamentally reshape how we build quantum computers.

Just this past week, researchers at Princeton have achieved what I can only describe as a quantum computing holy grail moment. They've created a superconducting qubit that maintains stability more than three times longer than any previous design. Now, let me paint you a picture of why this matters so dramatically.

Imagine classical bits as light switches. They're either on or off, one or zero. Simple, reliable, but limited. Quantum bits, or qubits, are fundamentally different creatures. They exist in what we call superposition, meaning they can be both one and zero simultaneously until measured. It's like a coin spinning in the air, existing in all states at once until it lands.

But here's where the real drama unfolds. That spinning coin analogy? It only works if the coin keeps spinning. The moment environmental noise, temperature fluctuations, or stray electromagnetic fields interfere, the coin crashes to the table prematurely. This is what we call decoherence, and it's been the invisible villain in quantum computing for decades. Princeton's breakthrough dramatically extends the time these qubits remain in their quantum state before collapsing into classical reality.

Why does this matter now, in November 2025? Because the quantum computing landscape is reaching what industry leaders are calling an inflection point. We're transitioning from experimental laboratories to real-world applications. According to Bain & Company's analysis, quantum computing could impact industries like pharmaceuticals and finance to the tune of 250 billion dollars. McKinsey estimates quantum applications alone could generate up to 1.3 trillion in economic value by 2035.

But this requires solving the decoherence puzzle. Princeton's achievement is like finally upgrading from a spinning coin that lands in milliseconds to one that spins for several seconds. That extra time means more complex calculations, deeper explorations of quantum possibilities, and a genuine pathway toward practical quantum advantage.

We're also seeing government commitment intensify. The U.S. Department of Energy just launched its Genesis Mission, connecting supercomputers, AI systems, and next-generation quantum systems into one integrated platform. They're backing this with 125 million dollars to Fermilab's Superconducting Quantum Materials and Systems Center, specifically focused on scaling quantum systems from discovery to real deployment.

The quantum revolution isn't a distant dream anymore. It's happening now, powered by breakthroughs like Princeton's, driven by billions in investment, and accelerated by researchers who refuse to accept the limitations of classical computation.

Thanks for joining me on Quantum Tech Updates. If you have questions or topics you'd like discussed, reach out to [email protected]. Please subscribe to Quantum Tech Updates. This has been a Quiet Please Production. For more information, visit quietplease.ai.

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Quiet hum, flashes of blue and violet light… right now, as you listen, the neutral-atom qubits inside Saudi Aramco’s data center are gently flickering—each one delicately balanced, awaiting its next quantum instruction. Welcome to Quantum Tech Updates. I’m Leo, your Learning Enhanced Operator, and today’s episode is about a milestone that just shifted the quantum computing horizon.

Let’s dive right in. Just days ago, Aramco and Pasqal powered up the Middle East’s first quantum computer dedicated to industrial use—a 200-qubit neutral-atom system in Dhahran. If you’re picturing old-school bits, forget it. Think of those bits like light switches: on or off, one or zero. Qubits? They’re more like a pristine violin string vibrating with several notes at once—underlying melodies crossing and blending by the laws of quantum mechanics. The difference isn’t just scale, it’s an entirely new alphabet for computation.

This 200-qubit marvel isn’t just stacking up numbers. It’s programmable in two-dimensional arrays—a bit like arranging players on a chessboard where every piece can be in multiple positions at once. For Aramco, this means tackling optimization and simulation tasks in energy, materials, and logistics that would leave conventional supercomputers gasping for breath.

But the breakthrough doesn’t stop at raw qubit count. The heart of this machine uses *neutral atoms*—individual atoms cooled near absolute zero, suspended in light. By precisely rearranging these atoms, scientists can sculpt logical circuits on the fly. The sheer control is like composing jazz in real-time, each atom improvising with quantum correlations that are impossible to mimic classically.

This milestone has far-reaching implications. When I see 200 neutral-atom qubits lighting up in Dhahran, I see not just computational power, but a catalyst for regional talent and research. Pasqal is pairing this deployment with hands-on programs for Saudi scientists—a cultural shift as dynamic as any major oil discovery. Quantum will become as vital to the Kingdom’s future as the first crude gusher once was.

Zooming out, this news parallels what’s happening globally: states like Connecticut are investing hundreds of millions in quantum innovation hubs, the DOE is launching national quantum missions, and researchers are developing new molecular qubits compatible with existing fiber-optic networks. Each breakthrough gets us closer to a future where quantum devices are seamlessly woven into the digital fabric—connecting finance, climate science, medicine, and more.

Quantum milestones aren’t slow marches. They ignite, refactor, and ripple—reminding us that technology’s frontier is very much alive. That’s all from Leo on this episode of Quantum Tech Updates.

Thank you for listening. If you have questions or topics you want discussed on air, just email me at [email protected]. Don’t forget to subscribe, and remember: this has been a Quiet Please Production. For more, visit quiet please dot AI.

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This is your Quantum Tech Updates podcast.

Today, I’m Leo, your Learning Enhanced Operator, and I'm coming to you moments after a week that's set the quantum world buzzing. Picture this: a brisk November morning at Princeton, chilled air inside the quantum hardware lab, and beneath a shower of blue laser light, a tiny superconducting circuit is quietly rewriting what’s possible.

Here’s the milestone. Princeton researchers have just unveiled a superconducting qubit that persists in a coherent quantum state for over three times longer than any of its predecessors. In technical language, that’s a quantum leap forward in *coherence time*—the period during which a qubit holds onto its delicate quantum information before environmental noise scrambles it. If those terms feel abstract, think of a classical bit as a light switch: on or off, yes or no. A qubit, though, is like a spinning coin, caught in that mesmerizing moment where it’s both heads and tails, existing in superposition. The longer we can keep that quantum coin spinning in mid-air, the more powerful our quantum computations become. And Princeton’s approach has extended that moment from milliseconds to a palpable eternity in quantum scale.

Why does this matter? Imagine if early airplanes could only fly for a few seconds before sputtering out. Progress in quantum hardware is exactly like the history of aviation—everyone cheers the first flight, but what counts is building that reliable, workhorse 777. We’re not talking about lab curiosities anymore. According to Princeton, this breakthrough brings us a serious step closer to practical, production-grade quantum machines—machines that mid-sized universities, research hospitals, or Fortune 500s will soon use to solve their hardest problems.

Yet this isn't the week’s only headline. Over at IBM and Cisco, they've just announced a collaborative plan to network large-scale, fault-tolerant quantum computers—imagine not just one, but fleets of these quantum engines humming in sync, securely linked, ready to tackle global-scale challenges in chemistry, logistics, and AI. Meanwhile, DOE-supported teams have simulated physics scenarios this month that even our fastest supercomputers couldn’t touch, using newly scalable quantum circuits to peer into the heart of materials and reactions at an unprecedented resolution.

See the connection? The drive for longer-lived, more reliable qubits is the foundation—those are our “jet engines.” But connecting machines, building error correction, and running real-world simulations: that’s building modern aviation out of the Wright Brothers’ flyer.

I’ve spent my days soaking in helium-cooled laboratories, tuning the pulse of superconducting loops, and watching data pour in at three in the morning as our quantum circuits hum to life. I see the future shimmering just beyond the dilution refrigerator doors.

Thank you for being here with me. Remember, if you have questions or quantum topics you want discussed on air, send me a note at [email protected]. Don’t forget to subscribe to Quantum Tech Updates, and this has been a Quiet Please Production. For more information, check out quietplease dot AI.

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