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All In Interview - Nobel Laureate Physics - John M Martinis - Recap and Notes - October 27 2025

October 27 2025



  • Early Life/Education
    • Grew up in San Pedro, California.
    • Father was a smart, non-high school educated fireman who built things in the garage, giving JM an empirical view of physics.
    • Loved high school physics due to the math and concepts involved.
    • Undergraduate: UC Berkeley (finished degree in Astrophysics, after switching from Physics and Math).
    • Graduate School: UC Berkeley; studied under John Clark, focusing on quantum mechanics and electrical devices.
    • Anthony Leggett: Nobel laureate (2003) for work on superfluid helium-3.
      • Posed the critical question that led to JM's Nobel-winning experiment: Do macroscopic objects behave quantum mechanically?
  • Core Concepts of Quantum Mechanics (QM)
    • QM Focus: Developed to describe small things (electrons, atoms, fundamental constituents).
    • Probability: QM uses probabilities (wave functions) to describe the location, energy, and movement of particles. It is non-intuitive and non-deterministic.
    • Waves: Electrons around an atom behave as waves (standing waves). The wave theory explains the size of atoms and their behavior.
    • Quantum Tunneling: A feature arising from QM probability functions.
    • When a particle (electron) hits a barrier (wall), a small amount of its wave function can pass through to the other side.
    • This phenomenon is observed in everyday small memory circuits and magnetic memories. It is only feasible if the barrier is very thin (e.g., 10-20 atoms thick).
    • Discrete Energy Levels: A quantum mechanical effect.
      • Classical Expectation: Electrons spiraling into a nucleus would produce light at all different frequencies.
      • QM Reality: Atoms (like in sodium lamps or LEDs) only oscillate at specific, discrete frequencies. Measuring these discrete frequencies provides proof of QM.
  • The Macroscopic Quantum Experiment (Nobel Prize Work)
    • The Question: Could QM happen at a larger, macroscopic scale?.
    • The Problem (Schrödinger's Cat Paradox): The paradox exists because people might believe a macroscopic object (like a cat) could be in a quantum superposition state, despite a lack of experimental evidence.
    • The System Used: An electrical circuit (electrical oscillator). This system was favorable for observing macroscopic quantum behavior because:
      • The circuit could operate at high microwave frequencies (billions of times per second), increasing chances to observe quantum effects.
      • The specific quantum mechanical parameters were favorable.
    • Key Component: The Josephson Junction.
      • Structure: Two superconductors separated by a thin insulating barrier.
      • Superconductivity: Occurs when a material is cooled below its critical temperature. All electrons condense into a single state (Cooper pairs/BCS condensate) and move together without scattering. A current (supercurrent) in a ring flows basically forever.
      • Function: Cooper pairs tunnel through the junction without loss, making the junction behave as a nonlinear electrical inductor (a kinetic inductance).
    • Circuit Operation: The Josephson junction (inductor) combined with a capacitor forms an inductor capacitance (LC) resonance circuit.
    • Result (Published 1985/86): The experiment demonstrated quantum mechanical behavior at a macro scale by measuring the circuit's discrete energy levels/frequencies.
    • Impact: Although noteworthy, the work was not considered Nobel-worthy initially, as its utility was unclear. Its true value lay in leading to decades of subsequent experiments and inventions, particularly in quantum computation. The key test of a scientific breakthrough is does it lead to other findings and discoveries.
  • Quantum Computation and Martinis' Career
    • Motivation: Richard Feynman gave a talk on using QM for computation (building a quantum computer) at a conference JM attended at UC Santa Barbara.
    • The Cubit (Superconducting): The fundamental component of a quantum computer.
      • It is an oscillating system made of a metal wire, a capacitor, and a Josephson junction (acting as an inductor).
      • It is set up to oscillate at about 5 GHz.
      • The quantum mechanical behavior is measured and used for computation.
  • Career Progression:
    • Post-doc in France with brilliant collaborators.
    • Worked at NIST (National Institute of Standards and Technology).
    • Went "all in" on building a quantum computer in the late 1990s when theoretical progress and government funding increased.
    • Spent about 10 years at UCSB, building up labs and creating 5 and 9 cubit quantum computers.
    • Joined Google's quantum lab.
    • Quantum Supremacy (2019): JM's team at Google published this experiment using 53 cubits. This demonstrated that a quantum computer could run a mathematical algorithm much faster than a classical computer could emulate.
  • State of Quantum Computing (Current Challenges)
    • Current Scale: Superconducting quantum computers typically have 50 to 100 cubits.
    • Challenge: Noise and Error: Current cubits are analog control systems and are very noisy. They lose their memory quickly.
    • Goal for General Use: To solve hard problems and be generally useful, a quantum computer requires around a million cubits (or slightly more).
    • Timeline: Speculation suggests useful quantum computers might be 8 to 10 years away, though this timeline has been predicted for years.
    • International Competition (China): China has demonstrated results that are on par with or near the latest US progress, including duplicating the quantum supremacy experiment.
      • Speculation that they might not be publishing anything until its open in the West
      • One strategy to maintain US leadership is a "huge leapfrog" in fabrication using modern manufacturing tools (like 300 mm tools from Applied Materials) that are not available in China.
    • Other Applications: The superconducting detector technology developed by JM's field is now being used in astronomy, for example, by Ben Mazin at UCSB to search for exoplanets.

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