632nm

Why are some of the world's largest technology companies betting on silicon photonics?In this episode, we speak with John Bowers, professor at UC Santa Barbara and one of the pioneers of silicon photonics, about the technologies that are transforming AI infrastructure and modern data centers. Bowers explains why moving data has become one of the central challenges in computing, how optical communication is overcoming the limitations of traditional electrical interconnects, and why light is increasingly being used to connect processors, servers, and entire data centers.We explore the origins of silicon photonics, from early optical communications research to the development of integrated photonic devices that can be manufactured using semiconductor processes. Bowers discusses the engineering challenges of combining lasers with silicon, the breakthroughs that enabled heterogeneous integration, and how decades of research helped turn silicon photonics into a commercial technology deployed at global scale.We examine the growing demands of artificial intelligence, where the movement of information between processors has become just as important as computation itself. Bowers explains why bandwidth, power consumption, and interconnect density are emerging as critical bottlenecks for AI systems, and how optical links are enabling the next generation of large-scale computing architectures.We also discuss data center networking, optical interconnects, co-packaged optics, heterogeneous integration, semiconductor manufacturing, photonic integrated circuits, telecommunications, AI hardware, and the future of warehouse-scale computing. Throughout the episode, Bowers provides an inside look at how advances in photonics are reshaping the infrastructure that powers modern computing.Whether you're interested in silicon photonics, optical communications, semiconductor engineering, computer architecture, AI hardware, data center design, networking, integrated photonics, electrical engineering, or the future of computing, this episode provides a deep technical exploration of one of the most important technologies behind the AI revolution.Follow us for more technical interviews with the world’s greatest scientists:Twitter: https://x.com/632nmPodcastInstagram: 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!Mikhail Shalaginov: https://www.linkedin.com/in/mikhail-shalaginov/Michael Dubrovsky: https://www.linkedin.com/in/michael-dubrovsky/Xinghui Yin: https://www.linkedin.com/in/xinghui-yin-168b94130/Subscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: https://www.632nm.comTimestamps:00:00 - Intro01:19 - Why Data Centers Need Photonics05:28 - Bowers's Interest in Physics10:09 - Lessons From Bell Labs12:58 - Semiconductor Lasers18:31 - Teaching Entrepreneurship23:21 - Heterogeneous Integration29:40 - Why Silicon Photonics Needed Better Light Sources32:00 - Heterogeneous Integration vs Direct Growth44:04 - The Packing Problem in Photonics47:49 - Narrow Linewidth Lasers51:31 - Data Centers in Space59:19 - Lessons from the Telecom Bubble1:02:17 - Recent Breakthroughs in Photonics1:04:32 - What is a Frequency Comb?1:07:07 - Solitons and Microcombs1:14:48 - Optical Computing and AI1:19:09 - How Bowers Starts Companies1:21:56 - Was Bowers Late to Any Trends?1:22:51 - What would Bowers Build with Unlimited Resources?1:24:38 - Creating Bell Labs for AI1:26:35 - Competition, Endurance, and Personality1:30:41 - The Best Problems for Young Scientists to Tackle1:37:47 - Advice for Researchers Who Want to Keep Real Depth#photonics #datacenter #siliconphotonics #computerscience #artificialintelligence

Are quantum computers changing the way we discover cancer treatments?In this episode, Misha and Yudong spoke with Fred Chong, Seymour Goodman Professor at the University of Chicago, about the future of quantum computer architecture and how quantum algorithms could eventually help solve real-world problems in medicine, optimization, and scientific computing.Chong explains the transition from the NISQ era toward fault-tolerant quantum computing, why hardware-aware software design remains essential, and how compiler architectures, error correction, and quantum system design all interact across the full computing stack. The conversation explores the challenges of building scalable quantum machines, the tradeoffs between superconducting qubits, trapped ions, and neutral atoms, and why many quantum systems may ultimately function as specialized accelerators alongside classical computers.We also discuss quantum optimization algorithms like QAOA and how Chong’s group is applying them to cancer biomarker discovery and treatment prediction. By analyzing complex multimodal biological data, including DNA, mRNA, and pathology imaging, these methods aim to uncover patterns that are difficult for conventional machine learning systems to identify without overfitting.Along the way, Fred shares stories from the early days of supercomputing at Thinking Machines, the origins of his quantum research career, the founding of Super.tech, and his perspective on where quantum computing is genuinely making progress versus where hype still dominates the conversation.Topics include quantum computing, QAOA, fault-tolerant quantum computing, quantum error correction, quantum compilers, NISQ systems, neutral atoms, superconducting qubits, quantum architecture, cancer biomarkers, biomedical optimization, hybrid quantum-classical systems, and the future of quantum software and hardware co-design.Follow us for more technical interviews with the world’s greatest scientists:Twitter: https://x.com/632nmPodcastInstagram: 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!Mikhail Shalaginov: https://www.linkedin.com/in/mikhail-shalaginov/Yudong Cao: https://www.linkedin.com/in/yudong-cao-25b6a929/Subscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: https://www.632nm.comTimestamps:00:00 - Intro01:34 - From Jurassic Park to Quantum Computing10:13 - Modernizing NISQ Research13:45 - Designing Around Quantum Hardware20:30 - Variational Quantum Algorithms23:07 - Quantum Computers for Cancer Research30:35 - How Q4Bio Began37:20 - Will We Need QEC in the Future?40:25 - What Quantum Computers Can Learn from Classical Architecture43:08 - Would Fred Return to Classical Computing?46:11 - Quantum Software and Quantum Compilers55:19 - Starting Super.tech1:01:43 - Classical Analogs to Quantum Hardware1:12:21 - Advice for Young Scientists1:17:43 - Is AI Impacting Quantum Research?1:22:38 - Importance of Formal Verification1:30:40 - QLDPC Codes1:35:48 - Fred’s Beginnings in Computer Science1:42:48 - Chicago vs Silicon Valley1:46:27 - Do We Need More Quantum Software Companies?1:53:17 - Future of Quantum Computing and Cryptography#quantumcomputing #quantumalgorithms #cancerresearch #computerscience

How do you turn a flat piece of nanostructured material into a secure biometric sensor?In this episode, we speak with Rob Devlin, co-founder and CEO of Metalenz, about how metasurfaces are transforming optics and enabling a new generation of biosecure sensing. Devlin explains how engineers can control light at the subwavelength scale to replace bulky lens stacks with a single flat surface, and why the real breakthrough isn’t just miniaturization, but the ability to mass-produce optics in semiconductor fabs.We explore how Metalenz scaled metasurfaces from academic prototypes into millions of devices, and what it takes to design optics for manufacturing. Devlin breaks down the transition from building one perfect device in a cleanroom to producing millions that all meet tight specifications.The conversation focuses on polarization imaging as a new information channel in consumer devices. Unlike traditional cameras that capture only intensity and color, polarization reveals material properties. This enables a new approach to facial recognition that is both more secure and more compact than existing systems.Rob also shares the story behind Metalenz, from its origins in a Harvard lab to partnerships with major semiconductor manufacturers, and how the company navigated the challenges of finding product-market fit, scaling fabrication, and building a new sensing stack from scratch.Whether you’re interested in optics, nanofabrication, consumer electronics, or the future of biometric security, this episode explores how controlling light at the nanoscale is opening entirely new possibilities for sensing and identity verification.Follow us for more technical interviews with the world’s greatest scientists:Twitter: https://x.com/632nmPodcastInstagram: 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!Mikhail Shalaginov: https://x.com/MYShalaginovMichael Dubrovsky: https://x.com/MikeDubrovskyXinghui Yin: https://x.com/XinghuiYinSubscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: https://www.632nm.comTimestamps:00:00 - Intro01:22 - Making Metalenses Mass-Producible10:58 - Metasurfaces for Polarimetry17:10 - Face ID Security and Pitfalls24:47 - Polar ID Principles29:02 - Polar ID Demo39:58 - Meeting Federico Capasso50:43 - Developing Metasurface Fabrication Techniques55:58 - Founding Metalenz 1:11:44 - Future of Metalenz and Metasurfaces#photonics #faceid #biometrics #metasurface #biosecurity #optics

How do you actually make quantum algorithms work on real hardware?Build your own quantum circuits in Crumble: https://algassert.com/crumbleIn this episode, we speak with Craig Gidney of Google Quantum AI, whose work focuses on the practical realities of building fault-tolerant quantum computers. Gidney explains how seemingly small implementation choices, like how you perform arithmetic, can dominate the cost of entire quantum algorithms.We explore why factoring small numbers like 15 in Shor's algorithm can be misleadingly easy, and why scaling to larger numbers requires dramatically more resources due to operations like modular multiplication. He breaks down how quantum circuits are often dominated by classical reversible logic, and why optimizing these routines is critical for making quantum computing viable.The conversation covers quantum error correction, including why T gates are especially expensive, how magic state factories works, and how different hardware architectures change what “cost” even means. Gidney also explains how resource estimates for breaking cryptography have dropped by orders of magnitude and what drove those improvements.We also dive into the tools he built, including Stim, Quirk, and Crumble, which help researchers simulate noise, visualize circuits, and track how errors propagate through complex systems. Gidney shares his unconventional path into the field, the role of intuition and tooling in discovery, and how software engineering shapes modern quantum research.Whether you’re interested in quantum computing, error correction, cryptography, or the engineering challenges behind scalable quantum systems, this episode offers a clear and grounded look at what it really takes to turn quantum algorithms into reality.Follow us for more technical interviews with the world’s greatest scientists:Twitter: https://x.com/632nmPodcastInstagram: 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!Mikhail Shalaginov: https://www.linkedin.com/in/mikhail-shalaginov/Yudong Cao: https://www.linkedin.com/in/yudong-cao-25b6a929/Subscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: https://www.632nm.comTimestamps:00:00 - Intro01:22 - Shor’s Algorithm04:02 - Why are Arithmetic Operations Important?08:35 - Why are T-Gates Important for QEC?13:47 - Motivations for Creating Crumble and STIM18:40 - Can AI Code Quantum Simulators?22:32 - Journey into Learning Quantum26:50 - How to Enter the Field of Quantum Computing31:16 - From Starcraft to Software Engineering36:05 - Crumble Demo53:18 - Quirk Demo1:00:48 - Estimating Resources for Quantum Computation1:08:58 - Optimizing Measurements for Computation1:16:40 - How Many Qubits Do We Actually Need?1:30:49 - Other Research Areas for Improving Fault Tolerance1:41:23 - Elliptic Curve Discrete Logarithm Problem1:46:55 - New Tools for Quantum Computing1:50:23 - What Would Craig Do with Unlimited Funding?1:52:28 - How Learning Has Changed for Craig with Experience1:57:31 - Riding the Wave of Innovation vs Sticking to One Idea1:59:53 - Advice for Young Scientists#quantumcomputing #quantumphysics #computerscience #googleai #googlequantum

How do engineers solve problems that seem to violate the laws of physics?In this episode, we speak with Dan Gelbart, a prolific inventor and precision engineer, about what it really means to work at the limits of physical law. From lasers and optical systems to ultra-precision manufacturing and semiconductor tools, Gelbart has spent decades designing systems where nanometers, noise, and nonlinearities matter, and where small misunderstandings of physics can block real progress.We discuss the story of the first working laser, built by Theodore Maiman, and why it succeeded only after questioning widely accepted assumptions. Gelbart explains how many “impossible” engineering problems aren’t forbidden by physics at all: they’re constrained by measurement errors, incomplete models, or failure to explore edge cases like pulsed operation, material effects, and boundary conditions.We explore precision metrology, high-resolution imaging for satellite systems, the culture of engineering education, and the difference between a true physical limit and a design constraint. Gelbart reflects on why mastering fundamentals, mechanics, optics, electromagnetism, matters more than chasing trends, and how breakthroughs often come from carefully re-examining what others assume cannot be done.Whether you’re interested in physics, engineering, semiconductor manufacturing, lasers, or the philosophy of technological innovation, this conversation offers a rigorous look at how engineers operate at the edge of what nature allows, and sometimes push beyond what others think is possible.Follow us for more technical interviews with the world’s greatest scientists:Twitter: https://x.com/632nmPodcastInstagram: 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!Mikhail Shalaginov: https://x.com/MYShalaginovMichael Dubrovsky: https://x.com/MikeDubrovskyXinghui Yin: https://x.com/XinghuiYinSubscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: [https://www.632nm.com](https://www.632nm.com/)Timestamps:00:00 - Intro01:35 - The World’s First Laser07:53 - Solving Impossible Problems23:37 - Underestimated Problems39:36 - Dan’s Backstory43:33 - How to Teach Yourself Anything47:03 - Shortcomings of Modern Education53:19 - Developing the Optical Tape Recorder1:01:39 - Machine Obsolescence1:08:04 - Why are Scientists Often Bad Businessmen?1:15:17 - Developing Medical Devices1:24:52 - Untapped Potential of Materials Science1:30:47 - Accidental Inventions1:35:37 - Surviving Bureaucracy1:42:27 - Humanoid Robots1:44:11 - Managing an Engineering Team1:50:06 - Developing the First Good Mobile Data Terminal1:54:15 - Building an Environment for Solving Problems2:02:18 - Why Aren’t We Inventing New Things?#machining #cnc #precisionengineering #metrology #machineshop

How can flat surfaces shape light as powerfully as bulky lenses?In this episode, we speak with Federico Capasso, Harvard physicist and pioneer of metasurfaces, metalenses, and nanophotonics. Capasso traces the path from his work at Bell Labs on quantum cascade lasers to the invention of metasurface optics, showing how a practical challenge—collimating light without traditional lenses—sparked a new way to control light.We explore the physics behind metasurfaces and generalized Snell’s law, explaining how subwavelength structures enable precise control of wavefronts, phase, and polarization beyond what conventional diffractive optics or Fresnel lenses allow. Capasso clarifies common misconceptions, contrasts metasurfaces with diffraction gratings and phased arrays, and emphasizes the importance of physical intuition and simplicity.The conversation covers metalenses, polarization optics, holography, and how these ideas moved from theory to large-scale manufacturing in semiconductor foundries, ultimately appearing in consumer devices like smartphones. Capasso also reflects on commercialization, the legacy of Bell Labs, and the blurred boundary between basic science and real-world technology.Whether you’re interested in metasurfaces, metalenses, nanophotonics, optics, or the process behind breakthrough discoveries, this episode offers a clear and insightful look at how modern optical physics becomes transformative technology.Follow us for more technical interviews with the world’s greatest scientists:Twitter: https://x.com/632nmPodcastInstagram: 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!Mikhail Shalaginov: https://x.com/MYShalaginovMichael Dubrovsky: https://x.com/MikeDubrovskyXinghui Yin: https://x.com/XinghuiYinSubscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: [https://www.632nm.com](https://www.632nm.com/)Timestamps:00:00 - Intro01:53 - Transition from Bell Labs to Harvard09:45 - Generalized Snell's Law21:25 - Facing the Diffractive Optics Community31:07 - Benefits of Well-Rounded Education45:16 - Metalenses55:55 - Can AI do Physics?1:07:39 - Industry vs Academia1:11:44 - Nanophotonics1:14:44 - What Allowed for the First Metalenses?1:17:38 - 632nm and Other Lasers1:20:47 - Quantum applications of Metalenses1:30:14 - Quantum Entanglement Redefines Spacetime1:43:22 - Stokes Parameters1:48:28 - Limits of Metasurface Pixel Size1:55:20 - Advice for Young Scientists2:01:45 - Critique of the H Index#metasurface #metalenses #quantumphysics #materialscience #optics #photonics

What makes high-temperature superconductors and “strange metals” some of the most perplexing systems in modern physics?In this episode, we speak with Dr. Subir Sachdev: Harvard physicist and one of the leading architects of today’s understanding of quantum matter. Sachdev explains why strange metals refuse to behave like ordinary conductors, how quantum entanglement reshapes the landscape of many-body physics, and why the quest to understand cuprate superconductors continues to push both theory and experiment to their limits.We explore the physics of the cuprate phase diagram, the collapse of quasiparticles, and the role of quantum criticality in creating universal, linear-in-temperature behavior. Sachdev walks us through the origins of the SYK model, its surprising connections to black-hole thermodynamics and holography, and how new lattice-based models may finally bridge the gap between solvable theory and real materials.Whether you’re curious about superconductivity, quantum criticality, black-hole analogies, emergent gauge fields, or the deep physics behind strongly correlated electrons, this conversation offers a rare, accessible look at how frontier theoretical work is redefining our picture of quantum matter—from the lab bench to the edge of spacetime.Follow us for more technical interviews with the world’s greatest scientists:Twitter: https://x.com/632nmPodcastInstagram: 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!Mikhail Shalaginov: https://x.com/MYShalaginovMichael Dubrovsky: https://x.com/MikeDubrovskyXinghui Yin: https://x.com/XinghuiYinSubscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: https://www.632nm.comTimestamps:01:22 - Subir’s Path to Condensed Matter Physics06:24 - Challenges in Discovering Cuprates09:53 - History of Superconductivity20:07 - Subir's PhD work27:09 - Development of the SYK model41:09 - Strange Metals56:43 - Derivation of SYK Model1:03:53 - Signatures of Strange Metals1:09:58 - How Quantum Mechanics Affects Black Holes1:17:10 - What Brought Subir to Black Holes?1:19:43 - Black Hole Connections to SYK1:29:28 - ADS CFT Correspondence1:37:04 - Can Quantum Computers Help Advance the SYK Model?1:40:17 - Is AI Useful for Theoretical Physics?1:46:40 - How does Quantum Criticality Play into Superconductivity?1:49:11 - Derivation Quantum Criticality1:52:49 - What is Holography?1:55:07 - Holography2:00:19 - Green’s Function2:08:46 - Green’s equation slides2:13:23 - Yukawa Model vs SYK2:17:30 - Can AI Brute Force Physics Discoveries?2:23:51 - What Would Subir Do With Unlimited Funding?2:36:33 - Dissecting the Hype of Superconductivity2:31:15 - Raising the Next Generation of Great Physicists#theoreticalphysics #quantummaterials #astrophysics #superconductivity #superconductor #blackhole #quantumphysics #quantummechanics

Why is syncing atomic clocks still one of the hardest problems in physics and engineering?In this episode, we speak with Judah Levine—legendary NIST physicist and one of the key architects of modern timekeeping—about the invisible systems that hold the digital world together. Levine explains why synchronizing atomic clocks across the planet is far more complex than the clocks themselves, and why seemingly simple ideas like “round-trip delay” break down in real-world media such as fiber optics and the internet.We explore how UTC is built from hundreds of atomic clocks, the difference between keeping time and *transferring* time, and the surprising challenges introduced by asymmetric delays, chromatic dispersion, and environmental noise. Levine walks us through the evolution of cesium clocks, the rise of optical clocks, and the technologies that make GPS, finance, power grids, and global communication possible.Along the way, we discuss the history of time synchronization, from railroad schedules to radio frequencies to modern satellite systems; the ongoing debate over leap seconds; and why the future of precision timing depends not just on better clocks, but on better *engineering* to deliver those clocks’ performance to the real world.Whether you’re curious about atomic clocks, relativity, fiber optics, GPS, the structure of time itself, or the hidden physics behind everyday technology, this conversation offers a rare look at how science, engineering, and careful statistical thinking keep modern civilization in sync—down to the nanosecond.Follow us for more technical interviews with the world’s greatest scientists:Twitter: https://x.com/632nmPodcastInstagram: 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/MikeDubrovskyMisha Shalaginov: https://x.com/MYShalaginovXinghui Yin: https://x.com/XinghuiYinSubscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: [https://www.632nm.com](https://www.632nm.com/)Timestamps:00:00 – Intro01:03 – What is UTC?05:50 – Timekeeping for Satellites07:08 – How Radio Created Better Clocks18:32 – From Astronomy to Atoms25:25 – Why are there 24 Hours in a Day?29:55 – Why Synchronizing Clocks is so Hard47:09 – How did Judah get into Clocks?53:29 – Is UTC Vulnerable to Hackers?1:06:41 – Cesium vs Optical Atomic Clocks1:11:23 – How Cesium Clocks Work1:23:35 – Why Cesium Clocks are Imperfect1:26:17 – Judah’s 3 Year Experiment1:29:30 – Statistics with Clocks1:33:40 – Is Time Real?1:36:29 – Is the Universe Slowing Down?1:40:29 – Atomic Time and General Relativity1:42:17 – What’s Left for Atomic Clocks?1:54:34 – What would Judah do with Unlimited Funding?1:58:57 – Judah's Past in Programming2:02:55 – Advice for Young Scientists

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/632nmPodcastInstagram: 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/MikeDubrovskyMisha Shalaginov: https://x.com/MYShalaginovXinghui Yin: https://x.com/XinghuiYinSubscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: https://www.632nm.comTimestamps:00:00 - Intro01:32 - Fundamentals of Quantum Computers04:09 - Transistors vs Quantum Gates10:07 - What is Quantum Error Correction?14:23 - State of the Art QEC22:19 - Quantum Research Before Lukin27:35 - Lukin’s Breakout Work31:10 - From Quantum Optics to Quantum Computing36:59 - Working with Neutral Atoms48:17 - Funding Quantum Computers50:00 - Transverse Gate Operations58:22 - Is Quantum Computing All Hype?#quantumcomputing #quantumerrorcorrection #mikhaillukin #qubits #schrodingerscat #entanglement #superposition #quantumphysics

Science has stalled. And Adam Marblestone thinks he knows why.Check out the Research Gap Map here: https://www.gap-map.org/?sort=rankIn 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/632nmPodcastInstagram: 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/MikeDubrovskyMisha Shalaginov: https://x.com/MYShalaginovXinghui Yin: https://x.com/XinghuiYinSubscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: https://www.632nm.comTimestamps:00:00 - Intro01:25 - Working with George Church13:03 - Neuralink22:23 - Gap Maps31:47 - Artificial Ribosome36:45 - 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 FROs1:05:43 - Why Haven't There Been More Scientific Breakthroughs?1:09:47 - Lithography and Chip Design1:13:41 - We Can't Beat Insects1:16:45 - What Separates Good FROs1:18:40 - East vs West Coast Innovation1:27:21 - Research into Longevity1:33:27 - Advice for Grad Students1:39:40 - How to Get Involved in FROs#neuroscience #molecularbiology #quantumphysics #researchfunding #startups

How did cooling atoms with lasers revolutionize our understanding of time?In this episode, we speak with Bill Phillips, Nobel Laureate in Physics, about his groundbreaking work on laser cooling and trapping of atoms: research that not only won him the Nobel Prize but also transformed modern timekeeping and technology. Phillips explains why breaking the Doppler cooling limit changed physics forever and what it means that today’s clocks can measure time differences caused by moving a device just a few millimeters in Earth’s gravity.We discuss the history of timekeeping from sundials to atomic clocks, how Einstein’s relativity reshaped our view of time, and the serendipitous discovery of sub-Doppler cooling that opened the door to ultra-precise measurement, quantum computing, and fundamental tests of nature. Along the way, Phillips reflects on the culture of physics, the importance of mentorship, and the joy of discovery.Whether you’re curious about time, relativity, quantum physics, GPS technology, or the frontiers of precision measurement, this conversation offers rare insight into how science, collaboration, and curiosity converge to shape the modern world.Follow us for more technical interviews with the world’s greatest scientists:Twitter: https://x.com/632nmPodcastInstagram: 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/MikeDubrovskyMisha Shalaginov: https://x.com/MYShalaginovXinghui Yin: https://x.com/XinghuiYinSubscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: [https://www.632nm.com](https://www.632nm.com/)Timestamps:00:00 - Intro01:43 - What is Time?05:49 - How Did Bill Get Into Atom Cooling?18:30 - How Do Atomic Clocks Actually Work?31:08 - History of Atomic Clocks37:18 - Laser Cooling for Atomic Clocks40:49 - How To Synchronize Atomic Clocks43:20 - How Cesium Cooling Was Developed45:48 - Pushing Beyond the Doppler Limit49:47 - The Beginning of Thor Labs52:45 - The Previous Limits were Wrong1:05:37 - How Bill Broke the Doppler Limit1:12:22 - What is Optical Pumping?1:20:27 - Can Atom Trapping Be Leveraged For Cold Fusion?1:31:32 - What Makes Bill So Lucky?1:35:25 - How Bill's Work Led to Atomic Clocks1:41:05 - What Makes Cesium So Good For Atomic Clocks?1:47:38 - Quantum Effects on Atomic Clocks1:59:02 - Bose-Einstein Condensates2:09:05 - Did Bill's Work Lead To Quantum Computing?2:11:26 - Bill's Thoughts on the Future#billphillips #nobelprize #laser #atomicclock #dopplereffect #quantumcomputing #quantumphysics #gps #physics #boseeinsteincondensate #theoreticalphysics #relativity

Life’s First Blueprint Wasn’t DNA; it was RNA.Read Jacob Fine’s latest publication here: https://www.sciencedirect.com/science/article/pii/S0022283625001901Today we spoke with Jacob Fine, graduate student researcher in Computational Biology from the University of Toronto. We explore the physics of replication, the role of entropy and information theory, and how modern biology is reconnecting with theory to understand the most fundamental question in science. Our conversation takes place in a Russian sauna, where the hot and humid environment mimics some of the conditions needed for life to begin.Follow us for more technical interviews with the world’s greatest scientists:Twitter: https://x.com/632nmPodcastInstagram: 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/MikeDubrovskyMisha Shalaginov: https://x.com/MYShalaginovXinghui Yin: https://x.com/XinghuiYinSubscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: https://www.632nm.comTimestamps:00:00 - Intro01:22 - What does any theory of the origin of life need to explain?04:09 - When did people begin researching the origin of life?06:51 - Competing theories of the origin of life11:00 - The RNA world hypothesis21:38 - Biological vs computational error24:58 - Origin of life is the origin of information33:30 - Without error, there would be no life36:07 - Early compartmentalization mechanisms47:26 - What do we need to prove theories on the origin of life?57:23 - What makes a useful model for biology?1:04:44 - What inspired Jacob to investigate the origin of life?1:09:45 - Jacob's favorite theories for the origin of life1:11:58 - Do we need a Manhattan project to discover the origin of life?1:18:49 - What are the next steps for origins of life research?1:24:06 - Has exposure to religion shaped Jacob’s perspective on science?

Did the Big Bang really happen? Telescopes, dark matter & cosmic origins explored.Join cosmologist Brian Keating as we explore the mysteries of the universe, from building telescopes at the South Pole to measuring the polarization of the cosmic microwave background and chasing signs of gravitational waves. We discuss Galileo’s influence, cosmic inflation, and how the Nobel Prize could be changed to better reflect the way we do science. Follow us for more technical interviews with the world’s greatest scientists:Twitter: https://x.com/632nmPodcastInstagram: 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/Michael Dubrovsky: https://x.com/MikeDubrovskyMisha Shalaginov: https://x.com/MYShalaginovXinghui Yin: https://x.com/XinghuiYinSubscribe:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6ORWebsite: https://www.632nm.com