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632nm

632nm

著者: Misha Shalaginov Michael Dubrovsky Xinghui Yin
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Technical interviews with the greatest scientists in the world.© 2025 Misha Shalaginov, Michael Dubrovsky, Xinghui Yin 博物学 科学 自然・生態学
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  • Why Do Quantum Computers Make So Many Mistakes? | Mikhail Lukin on Quantum Error Correction
    2025/10/21

    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.

    Follow us for more technical interviews with the world’s greatest scientists:
    Twitter: https://x.com/632nmPodcast
    Instagram: https://www.instagram.com/632nmpodcast?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw==
    LinkedIn: https://www.linkedin.com/company/632nm/about/
    Substack: https://632nmpodcast.substack.com/

    Follow our hosts!
    Michael Dubrovsky: https://x.com/MikeDubrovsky
    Misha Shalaginov: https://x.com/MYShalaginov
    Xinghui Yin: https://x.com/XinghuiYin

    Subscribe:
    Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269
    Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR
    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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    1 時間 1 分
  • We Interviewed the Winners of the Ig Nobel Prize | Ig Nobel 2025
    2025/10/09

    The scientific stories behind this year's research that made people LAUGH, then THINK.

    Watch the 2025 Ig Nobel Ceremony here: https://youtu.be/z1cP4xKd_L4

    In this episode, we bring together three of this year’s Ig Nobel winners whose research spans psychology, food science and human biology. You’ll hear how a team of psychologists devised a counter-intuitive way to boost a narcissist’s self-confidence; how two physicists uncovered the “mozzarella phase” of pecorino cheese while perfecting cacio e pepe; and how a group studying lactation discovered that garlic changes breast-milk’s aroma and baby behavior.

    We explore the playful setups, surprising results and serious science behind each project, and how curiosity, humor and a dash of persistence turned ordinary questions into prize-winning research.

    Follow us for more technical interviews with the world’s greatest scientists:

    Twitter: https://x.com/632nmPodcast
    Instagram: https://www.instagram.com/632nmpodcast?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw==
    LinkedIn: https://www.linkedin.com/company/632nm/about/
    Substack: https://632nmpodcast.substack.com/

    Follow our hosts!
    Michael Dubrovsky: https://x.com/MikeDubrovsky
    Misha Shalaginov: https://x.com/MYShalaginov
    Xinghui Yin: https://x.com/XinghuiYin

    Subscribe:
    Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269
    Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR
    Website: https://www.632nm.com

    Timestamps:
    00:00 - Intro
    01:19 - Physics Prize: Cacio e Pepe Sauce
    30:40 - Pediatrics Prize: Garlic Breast Milk
    44:48 - Psychology Prize: How to Boost Narcissism

    #ignobel2025 #cacioepepe #pastasauce #thermodynamics #psychology #dairy #pecorino

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    1 時間 6 分
  • What Science can Learn from Startups | Adam Marblestone on Focused Research Organizations
    2025/10/07

    Science has stalled. And Adam Marblestone thinks he knows why.

    Check out the Research Gap Map here: https://www.gap-map.org/?sort=rank

    In this episode, we sit down with Adam Marblestone, neuroscientist, nanotechnologist, and founder of Convergent Research, to explore how new “Focused Research Organizations” (FROs) could reignite scientific progress. From DNA “ticker-tape” neural recording to optical connectomics and Neuralink, Marblestone explains how emerging neurotechnologies reveal both the brilliance and the bottlenecks of today’s research system.

    We discuss why traditional funding often fails to support ambitious, interdisciplinary projects, how FROs borrow the focus and speed of startups to build scientific infrastructure, and why projects like OpenAI, E11 Bio, and ultrasound-on-a-chip exemplify this new model. Marblestone breaks down his “Gap Map” of unsolved scientific challenges - from room-temperature superconductors to artificial ribosomes - and does the math on how tens of billions of dollars could close them.

    Whether you’re fascinated by neuroscience, scientific innovation, or the future of research itself, this conversation offers a rare insider’s look at how new institutions could rebuild the engine of discovery—and why the next wave of breakthroughs might depend more on organization than on ideas.

    Follow us for more technical interviews with the world’s greatest scientists:
    Twitter: https://x.com/632nmPodcast
    Instagram: https://www.instagram.com/632nmpodcast?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw==
    LinkedIn: https://www.linkedin.com/company/632nm/about/
    Substack: https://632nmpodcast.substack.com/

    Follow our hosts!
    Michael Dubrovsky: https://x.com/MikeDubrovsky
    Misha Shalaginov: https://x.com/MYShalaginov
    Xinghui Yin: https://x.com/XinghuiYin

    Subscribe:
    Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269
    Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR
    Website: https://www.632nm.com

    Timestamps:
    00:00 - Intro
    01:25 - Working with George Church
    13:03 - Neuralink
    22:23 - Gap Maps
    31:47 - Artificial Ribosome
    36:45 - What is Convergent Research?
    40:03 - What are FROs?
    44:16 - What Made OpenAI So Successful?
    48:19 - Has AI Actually Impacted Science?
    52:15 - Notable FROs
    1:05:43 - Why Haven't There Been More Scientific Breakthroughs?
    1:09:47 - Lithography and Chip Design
    1:13:41 - We Can't Beat Insects
    1:16:45 - What Separates Good FROs
    1:18:40 - East vs West Coast Innovation
    1:27:21 - Research into Longevity
    1:33:27 - Advice for Grad Students
    1:39:40 - How to Get Involved in FROs

    #neuroscience #molecularbiology #quantumphysics #researchfunding #startups

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    1 時間 41 分
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