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This is your Advanced Quantum Deep Dives podcast.

# Advanced Quantum Deep Dives - Episode 147: Logical Qubits and the Quantum Future

*Microphone crackles*

Welcome back to Advanced Quantum Deep Dives. This is Leo, your quantum guide through the subatomic wilderness. I'm recording this on June 8th, 2025, and the quantum landscape is shifting beneath our feet in fascinating ways.

Just three days ago, Oxford Quantum Circuits dropped what might be the most ambitious quantum roadmap I've seen in my career. While most companies are still struggling to create stable qubits, OQC is pivoting the conversation entirely. They're moving us beyond what they call the "physical era" of quantum computing into the "logical era."

Let me break this down: physical qubits are like raw ingredients—noisy, error-prone, and limited. Logical qubits are the refined dish—error-corrected and reliable. The quantum computing community has been obsessing over physical qubit counts for years, but what truly matters is how many logical qubits we can harness.

OQC's roadmap targets 200 logical qubits by 2028. If you're not gasping right now, you should be. At that scale, we're talking about quantum systems that could revolutionize fraud detection, cybersecurity threat analysis, and financial arbitrage. And by 2034? They're aiming for 50,000 logical qubits—more than ten times what other providers have publicly committed to.

Here's the surprising fact that made me spill my coffee when I read it: OQC's approach requires ten times fewer physical qubits to generate each logical qubit compared to current state-of-the-art methods. Many approaches today need tens or even hundreds of physical qubits to create a single error-corrected logical qubit. This resource efficiency could be the difference between quantum computing becoming mainstream or remaining confined to specialized applications.

I was at a conference last month where we debated whether we'd ever break the thousand logical qubit barrier. Now I'm wondering if we've been thinking too small all along.

Speaking of quantum research, there's exciting movement in the quantum networking space too. Just last month, RIT and the University of Rochester launched RoQNET—an experimental quantum network spanning 11 miles of fiber optic cable between their campuses. They're testing room-temperature photon-based quantum communication, which could be a critical building block for the quantum internet we've all been dreaming about.

The system combines integrated photon sources with solid-state memory nodes. Imagine each photon as a quantum messenger, carrying information that can't be intercepted without detection. These messengers travel between memory nodes that store quantum states like libraries of possibility. What makes this project particularly exciting is that it operates at room temperature—no need for the extreme cooling that makes many quantum systems impractical for widespread deployment.

And on the creative front, quantum computing is entering unexpected territories. A UK startup called Moth, working with artist ILĀ, has released what they're calling the first commercially available music track generated using a hybrid quantum-AI workflow. They're using quantum reservoir computing—a technique that leverages the natural dynamics of quantum systems—to co-create music from artist-curated inputs. It's a fascinating glimpse into how quantum computing might influence creative industries.

As we observe the 100th anniversary of quantum mechanics this year—the International Year of Quantum Science and Technology—I'm struck by how far we've come from those early theoretical frameworks to practical systems that might soon outperform classical supercomputers on valuable problems.

Thanks for joining me today on Advanced Quantum Deep Dives. If you ever have questions or topics you'd like discussed on air, just send an email to leo@inceptionpoint.ai. Remember to subscribe to Advanced Quantum Deep Dives. This has been a Quiet Please Production. For more information, check out quietplease.ai.

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