Tech Talk: John Martinis, "Design of a Superconducting Quantum Computer"
Δημοσιεύθηκε στις 28 Φεβ 2014
John Martinis visited Google LA to
give a tech talk: "Design of a Superconducting Quantum Computer." This
talk took place on October 15, 2013.
Bio:
John M.
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 research focused on macroscopic quantum tunneling in
Josephson Junctions. 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 was
involved in understanding the basic physics of the Coulomb Blockade, and
worked to use this phenomenon to make a new fundamental electrical
standard based on counting electrons. While at NIST he also invented
microcalorimeters based on superconducting sensors for x-ray
microanalysis and astrophysics. In June of 2004 he moved to the
University of California, Santa Barbara where he currently holds the
Worster Chair. At UCSB, he has continued work on quantum computation.
Along with Andrew Cleland, he was awarded in 2010 the AAAS science
breakthrough of the year for work showing quantum behavior of a
mechanical oscillator.
Abstract:
Superconducting quantum
computing is now at an important crossroad, where "proof of concept"
experiments involving small numbers of qubits can be transitioned to
more challenging and systematic approaches that could actually lead to
building a quantum computer. Our optimism is based on two recent
developments: a new hardware architecture for error detection based on
"surface codes" [1], and recent improvements in the coherence of
superconducting qubits [2]. I will explain how the surface code is a
major advance for quantum computing, as it allows one to use qubits with
realistic fidelities, and has a connection architecture that is
compatible with integrated circuit technology. Additionally, the surface
code allows quantum error detection to be understood using simple
principles. I will also discuss how the hardware characteristics of
superconducting qubits map into this architecture, and review recent
results that suggest gate errors can be reduced to below that needed for
the error detection threshold.
References
[1] Austin G. Fowler, Matteo Mariantoni, John M. Martinis and Andrew N. Cleland, PRA 86, 032324 (2012).
[2]
R. Barends, J. Kelly, A. Megrant, D. Sank, E. Jeffrey, Y. Chen, Y. Yin,
B. Chiaro, J. Mutus, C. Neill, P. O'Malley, P. Roushan, J. Wenner, T.
C. White, A. N. Cleland and John M. Martinis, arXiv:1304:2322.
give a tech talk: "Design of a Superconducting Quantum Computer." This
talk took place on October 15, 2013.
Bio:
John M.
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 research focused on macroscopic quantum tunneling in
Josephson Junctions. 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 was
involved in understanding the basic physics of the Coulomb Blockade, and
worked to use this phenomenon to make a new fundamental electrical
standard based on counting electrons. While at NIST he also invented
microcalorimeters based on superconducting sensors for x-ray
microanalysis and astrophysics. In June of 2004 he moved to the
University of California, Santa Barbara where he currently holds the
Worster Chair. At UCSB, he has continued work on quantum computation.
Along with Andrew Cleland, he was awarded in 2010 the AAAS science
breakthrough of the year for work showing quantum behavior of a
mechanical oscillator.
Abstract:
Superconducting quantum
computing is now at an important crossroad, where "proof of concept"
experiments involving small numbers of qubits can be transitioned to
more challenging and systematic approaches that could actually lead to
building a quantum computer. Our optimism is based on two recent
developments: a new hardware architecture for error detection based on
"surface codes" [1], and recent improvements in the coherence of
superconducting qubits [2]. I will explain how the surface code is a
major advance for quantum computing, as it allows one to use qubits with
realistic fidelities, and has a connection architecture that is
compatible with integrated circuit technology. Additionally, the surface
code allows quantum error detection to be understood using simple
principles. I will also discuss how the hardware characteristics of
superconducting qubits map into this architecture, and review recent
results that suggest gate errors can be reduced to below that needed for
the error detection threshold.
References
[1] Austin G. Fowler, Matteo Mariantoni, John M. Martinis and Andrew N. Cleland, PRA 86, 032324 (2012).
[2]
R. Barends, J. Kelly, A. Megrant, D. Sank, E. Jeffrey, Y. Chen, Y. Yin,
B. Chiaro, J. Mutus, C. Neill, P. O'Malley, P. Roushan, J. Wenner, T.
C. White, A. N. Cleland and John M. Martinis, arXiv:1304:2322.
ANAΡΤΗΣΗ ΑΠΟ ΤΟ YOUTUBE 1/3/2014
