Research Scientist, Quantum Artificial Intelligence Lab
As a member of Google’s Quantum Artificial Intelligence Lab, John Martinis is on the forefront of researchers looking to bring quantum technologies out of the theoretical and into reality. Working alongside Hartmut Neven, leader of Google’s quantum-AI team, Martinis’ goal is to make a quantum annealer with 100 qubits as early as 2017 to give Google’s engineering team the hardware it needs to find a practical benefit, particularly for the areas of pattern recognition and machine learning.
Martinis attended the University of California at Berkeley from 1976 to 1987, where he received two degrees in Physics: B.S. (1980) and Ph.D. (1987). His thesis was a pioneering demonstration of quantum-bit states in superconductors. After completing a post-doctoral position at the Commisiariat Energie Atomic in Saclay, France, he joined the Electromagnetic Technology division at NIST in Boulder. At NIST he developed a new fundamental electrical standard based on counting electrons, and invented microcalorimeters based on superconducting sensors for x-ray microanalysis and astrophysics measurements. In 2004 he moved to the University of California, Santa Barbara where he currently holds the Worster Chair in experimental physics. At UCSB, he has continued work on quantum computation, demonstrating a variety of new quantum devices and capabilities. Along with Andrew Cleland, he was awarded in 2010 the AAAS science breakthrough of the year for an experiment showing the first quantum behavior of a mechanical oscillator. In 2014 he was awarded the London Prize for low-temperature physics research. In 2014 he joined the Google quantum-AI team, and now heads an effort to build the first practical quantum computer.
| Guangwen Yang