You can’t copy a qubit. So how do quantum computers remember anything?

In this episode, we sit down with Mikhail Lukin, Harvard physicist and co-director of the Harvard Quantum Initiative, whose lab is building quantum computers from arrays of individually trapped atoms. Lukin explains the paradox of quantum error correction—how you can safeguard quantum information even though it can’t be copied or measured directly—and why this breakthrough may be the key to making large-scale quantum computers possible.

We dive into the strange logic of superposition, entanglement, and “small cat states,” explore what makes quantum evolution inherently analog, and learn how Lukin’s team uses optical tweezers and Rydberg interactions to engineer stable, reconfigurable qubits—atoms literally held and moved by light.

Whether you’re fascinated by quantum mechanics, computing, Schrödinger’s cat, or the future of information, this conversation reveals how physicists are turning the weirdness of quantum physics into working technology—and why building a fault-tolerant quantum computer is one of the hardest and most exciting challenges in science today.

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Michael Dubrovsky: https://x.com/MikeDubrovsky
Misha Shalaginov: https://x.com/MYShalaginov
Xinghui Yin: https://x.com/XinghuiYin

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Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269
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Website: https://www.632nm.com

Timestamps:
00:00 - Intro
01:32 - Fundamentals of Quantum Computers
04:09 - Transistors vs Quantum Gates
10:07 - What is Quantum Error Correction?
14:23 - State of the Art QEC
22:19 - Quantum Research Before Lukin
27:35 - Lukin’s Breakout Work
31:10 - From Quantum Optics to Quantum Computing
36:59 - Working with Neutral Atoms
48:17 - Funding Quantum Computers
50:00 - Transverse Gate Operations
58:22 - Is Quantum Computing All Hype?

#quantumcomputing #quantumerrorcorrection #mikhaillukin #qubits #schrodingerscat #entanglement #superposition #quantumphysics

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