Bulletin of the American Physical Society
APS March Meeting 2019
Volume 64, Number 2
Monday–Friday, March 4–8, 2019; Boston, Massachusetts
Session E42: Applications of Noisy Intermediate Scale Quantum Computers II
8:00 AM–10:12 AM,
Tuesday, March 5, 2019
BCEC
Room: 210A
Sponsoring
Unit:
DQI
Chair: Andras Gyenis, Princeton University
Abstract: E42.00011 : Error mitigation by symmetry verification on a variational quantum eigensolver*
10:00 AM–10:12 AM
Presenter:
Ramiro Sagastizabal
(QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
Authors:
Ramiro Sagastizabal
(QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
Xavier Bonet-Monroig
(Lorentz Institute, Leiden University)
Malay Singh
(QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
Thomas E O'Brien
(Lorentz Institute, Leiden University)
Michiel Adriaan Rol
(QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
Cornelis Christiaan Bultink
(QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
Xiang Fu
(QuTech and Quantum Computer Architecture Lab, Delft University of Technology)
Nandini Muthusubramanian
(QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
Alessandro Bruno
(QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
Leonardo DiCarlo
(QuTech and Kavli Institute of Nanoscience, Delft University of Technology)
implementation of low-cost techniques to mitigate the impact of errors while avoiding fully-
fledged error correction schemes. Both simple and comprehensive, variational quantum
eigensolvers provide an excellent platform for exploring error and accuracy trade-offs. We
present the implementation of our own low-cost error detection scheme, named symmetry
verification (SV). We demonstrate an order of magnitude improvement in accuracy while
solving the hydrogen molecule in a transmon quantum processor. Furthermore, by matching
measurements to simulations, we report a breakdown of noise sources with which we
quantify the error mitigating effects of SV and its limitations.
*This research is funded by an ERC Synergy Grant, the Netherlands Organization for
Scientific Research (NWO/OCW), the China Scholarship Council, and IARPA (U.S. Army
Research Office grant W911NF-16-1-0071).
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