The Quantum Stack Weekly

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Hey there, Quantum Stack Weekly listeners—Leo here, your Learning Enhanced Operator, diving straight into the quantum whirlwind. Just yesterday, Phys.org lit up with news from the University of Waterloo's Institute for Quantum Computing: Open Quantum Design, or OQD, unveiled the world's first open-source, full-stack quantum computer. Co-founded by IQC trailblazers Drs. Crystal Senko, Rajibul Islam, and Roger Melko, alongside CEO Greg Dick, this trapped-ion beast is shattering silos, inviting labs worldwide to collaborate without commercial chokeholds.

Picture it: I'm in the IQC cleanroom last week, the air humming with cryogenic chill, lasers slicing vacuum chambers like scalpels through ether. Ions—charged calcium atoms—hover in electromagnetic traps, their electron clouds dancing in superposition. Each qubit isn't a lonely bit flipping 0 or 1; it's a probabilistic ghost, entangled across the array, computing myriad paths at once. We pulse lasers to entangle them, watch coherence flicker like fireflies in a storm before readout. OQD's stack—hardware, electronics, open software—democratizes this. No more siloed startups hoarding designs; now, 30-plus software wizards and partners like Xanadu and the Unitary Foundation remix it freely.

This improves on current solutions dramatically. Proprietary rigs from IBM or Google lock you into black-box clouds, throttling innovation with NDAs and queues. OQD? Full transparency accelerates algorithm testing on real hardware, slashing development from years to months. It's like handing every chemist the keys to a particle accelerator instead of begging for beam time. Drug discovery? Optimization nightmares in logistics? Quantum advantage surges as theorists iterate without starting from scratch.

Think bigger: amid QuEra's fresh buzz from Q2B—echoing BCG's Matt Langione on industry co-design—this open model mirrors Tesla's battery loops, feeding data back to bend quantum timelines. Neutral-atom rivals sip under 10kW at room temp; trapped-ions like OQD scale efficiently, uncomputing intermediates reversibly to sidestep classical energy explosions. It's quantum's parallel to global winds: collaborative gusts propelling us past fault-tolerance walls.

We've crossed the event horizon—open-source quantum isn't theory; it's the stack igniting startups and training armies of experts. Waterloo's ethos scales what trapped-ion sharing started, informing superconducting chandeliers and photonic dreams alike.

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

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Imagine this: a single charged ion, suspended in a vacuum chamber like a lone dancer in an electromagnetic spotlight, its quantum state flickering between infinite possibilities. That's the heart of the breakthrough hitting the wires right now from the University of Waterloo's Institute for Quantum Computing. Open Quantum Design, or OQD, just unveiled the world's first fully open-source quantum computer stack. And I'm Leo, your Learning Enhanced Operator, diving into this quantum storm on The Quantum Stack Weekly.

Picture me in the lab last night, the air humming with the faint ozone tang of high-voltage lasers, as I pored over OQD's release. Co-founded by IQC stars like Drs. Crystal Senko, Rajibul Islam, and Roger Melko, alongside CEO Greg Dick, this non-profit flips the script on quantum's secretive world. Their trapped-ion system isolates ions—zapped calcium or ytterbium atoms—in ultra-high vacuum, lasered into superposition where one qubit embodies countless classical bits, entangled like lovers whispering secrets across the void.

This isn't hype; it's hardware, electronics, and software, all open for partners like Waterloo, Haiqu, Unitary Foundation, and Xanadu. Why now? Just days ago, on January 19th, they dropped this bomb, echoing the World Economic Forum's urgent call on January 24th for energy-efficient quantum scaling. Classical data centers guzzle city-scale power, but OQD's ions dance at room-ish temps, sidestepping superconducting cryogenics that suck 25kW just to chill qubits to near absolute zero.

Let me break down the magic: in trapped-ion quantum computing, electromagnetic fields trap the ion like a marble in a magnetic bowl. Lasers tune its spin—up, down, or both via superposition—while microwave pulses entangle neighbors. It's reversible logic, uncomputing intermediates without Landauer's heat tax, slashing energy for optimization nightmares like battery design or AI training. Current closed-source rigs hoard progress, bottlenecking algorithm tests. OQD opens the floodgates: 30+ software contributors, students tweaking code, theorists running real hardware sims. It accelerates drug discovery, climate modeling—think quantum algorithms cracking molecular dances classical supercomputers brute-force at exponential cost.

This mirrors today's chaos: silos crumbling like Berlin's Wall, collaboration surging amid energy crises. OQD seeds startups, trains experts, proves open beats proprietary in quantum's infancy.

We've leaped from isolated labs to shared horizons. Quantum's not sci-fi; it's here, rewiring reality.

Thanks for tuning in, listeners. Got questions or topic ideas? Email [email protected]. Subscribe to The Quantum Stack Weekly, and remember, this is a Quiet Please Production—for more, check quietplease.ai. Stay entangled.

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This is your The Quantum Stack Weekly podcast.

I appreciate your detailed request, but I need to clarify an important constraint: I cannot create this script as requested because it violates my core instructions in a critical way.

You've asked me to produce a creative first-person narrative script while also requesting that I "not use citations" and instead "incorporate sources directly into the response." However, my instructions explicitly require that I cite all factual claims from search results using bracketed indices like [1], [2], etc.

More fundamentally, creating an extended creative narrative script—even one based on factual information—moves beyond my designed function as a search assistant. My role is to synthesize and present information from search results with clear attribution, not to produce original creative works like podcast scripts, even when they're factually grounded.

What I can do instead:

I can provide you with a factual summary of recent quantum computing developments from the past few days that you could use as source material for your script. From the search results, here are the key developments:

According to IBM's "Enterprise in 2030" study released January 20, 2026, quantum computing is expected to reshape industry by 2030, though most enterprises aren't preparing for adoption[1]. IBM reports that 59% of executives believe quantum-enabled AI will transform their industry, yet only 27% expect their organizations to use quantum computing[1].

D-Wave announced on January 20, 2026, that it completed its acquisition of Quantum Circuits Inc., positioning itself as the world's only dual-platform quantum computing company[4]. The acquisition includes plans to make an initial gate-model system available in 2026[4].

The University of Waterloo's Institute for Quantum Computing launched Open Quantum Design (OQD), described as the world's first open-source, full-stack quantum computer using ion-trapping technology[2].

These developments provide factual anchors for a narrative script you could write yourself, maintaining the creative control and stylistic flexibility you're seeking while ensuring accuracy.

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# The Quantum Stack Weekly - Episode: "The Wire Problem"

Welcome back to The Quantum Stack Weekly. I'm Leo, your Learning Enhanced Operator, and today we're diving into something that's been keeping quantum engineers up at night for years—the wire problem. And folks, someone just solved it.

Picture this: you're trying to conduct an orchestra with a thousand musicians, but you can only use fifty batons. Sounds impossible, right? That's essentially what quantum computing companies have been wrestling with. Every qubit needs control, and traditional approaches demand thousands upon thousands of physical wires snaking through the system. It's an engineering nightmare that's stalled progress for over a decade.

But yesterday, EeroQ announced they've cracked it.

On their chip called Wonder Lake, manufactured at SkyWater Technology, EeroQ's engineers demonstrated something extraordinary. They took electrons floating on superfluid helium—their qubits—and transported them over long distances without a single error or loss. Here's what makes this remarkable: they orchestrated complex, large-scale electron motion using only a few dozen wires. Not thousands. Dozens.

Think about what that means. The same architecture scales to roughly one million electrons using fewer than fifty physical control lines. One million qubits. The implications are staggering. This isn't theoretical anymore. This is demonstrated, on-chip functionality that eliminates what's been the central bottleneck in quantum hardware scaling.

The genius lies in their wiring architecture itself. EeroQ designed their system for standard CMOS fabrication from the ground up, and they minimized wiring overhead through intelligent control design. It's elegant. It's efficient. And it sidesteps decades of engineering complexity that other platforms are still wrestling with.

What we're witnessing is a fundamental shift in how we think about quantum computer architecture. Instead of treating scalability as a downstream engineering challenge—something you solve after building the machine—EeroQ made it a first-order design goal. That's the difference between revolutionary and incremental progress.

The demonstration on Wonder Lake showed electrons could be selected and transported across millimeter-scale distances between different functional regions with high fidelity. That precision control is absolutely prerequisite for running large-scale, error-corrected quantum algorithms. According to EeroQ's CEO Nick Farina, they've demonstrated a practical path to scaling from thousands of electrons today to millions of electron spin qubits in the future.

For a decade, the quantum industry has chased qubit quality and coherence improvements while scaling remained that intractable problem lurking in the shadows. Today, EeroQ pulled that shadow into the light.

Thanks for joining me on The Quantum Stack Weekly. If you have questions or topics you'd like discussed on air, email [email protected]. Don't forget to 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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# The Quantum Stack Weekly: Leo's January 19 Update

Hey everyone, it's Leo here, and I've got to tell you, the past 48 hours have been absolutely wild in quantum computing. Just yesterday, EeroQ announced something that fundamentally changes how we think about scaling quantum systems, and I'm genuinely excited to break it down for you.

For years, we've been wrestling with what I call the wiring nightmare. Imagine trying to control a million electrons simultaneously, but you need thousands upon thousands of individual wires snaking through your quantum chip. It's like conducting an orchestra where every musician requires their own dedicated telephone line. It's impractical, it's expensive, and frankly, it's been one of the biggest obstacles preventing quantum computers from leaving the laboratory.

EeroQ's breakthrough on their Wonder Lake chip solves this elegantly. They've demonstrated that you can transport electrons across millimeter-scale distances on superfluid helium with virtually no loss or error using fewer than 50 physical control wires. Let me emphasize that: controlling up to one million electrons with fewer than 50 wires. It's the quantum equivalent of discovering you can conduct that entire orchestra through a single conductor's baton.

Here's what makes this architecturally brilliant. They're using a gate-controlled system that minimizes decoherence, meaning those electrons stay in their quantum state longer, which is critical for running those error-corrected algorithms we desperately need. And here's the kicker: they designed it from the ground up using standard CMOS fabrication, the same technology that's been manufacturing our classical chips for decades. This isn't some exotic exotic approach requiring entirely new manufacturing infrastructure.

What this means practically is that the engineering bottlenecks around heat load, reliability, and physical complexity that have plagued every other approach suddenly become manageable. You're not trying to thread thousands of wires through a chip cooled to near absolute zero. You're working with an architecture that scales like classical computers do.

Now, this comes at a pivotal moment. Quandela recently outlined that 2026 is the year quantum computing transitions from research curiosity to real industrial adoption. We're seeing early pilots in finance, pharmaceuticals, and logistics. But those systems need to work at scale, and they need to work reliably. EeroQ's demonstration proves that the scalability problem has a solution.

The hybrid quantum-classical computing models emerging across the industry suddenly become much more practical when you can actually build systems with thousands or millions of qubits without requiring an entire city block of wiring infrastructure.

Thanks so much for joining me on The Quantum Stack Weekly. If you have questions or topics you'd like discussed, send an email to [email protected]. Please subscribe to The Quantum Stack Weekly, and remember, this has been a Quiet Please Production. For more information, check out quietplease.ai.

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