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Kevin J. Sung

Researcher at Google

Publications -  4
Citations -  3206

Kevin J. Sung is an academic researcher from Google. The author has contributed to research in topics: Quantum computer & Quantum algorithm. The author has an hindex of 4, co-authored 4 publications receiving 2867 citations. Previous affiliations of Kevin J. Sung include University of Michigan.

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Quantum supremacy using a programmable superconducting processor

Frank Arute, +85 more
- 24 Oct 2019 - 
TL;DR: Quantum supremacy is demonstrated using a programmable superconducting processor known as Sycamore, taking approximately 200 seconds to sample one instance of a quantum circuit a million times, which would take a state-of-the-art supercomputer around ten thousand years to compute.
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Quantum approximate optimization of non-planar graph problems on a planar superconducting processor

Matthew P. Harrigan, +95 more
- 04 Feb 2021 - 
TL;DR: The application of the Google Sycamore superconducting qubit quantum processor to combinatorial optimization problems with the quantum approximate optimization algorithm (QAOA) is demonstrated and an approximation ratio is obtained that is independent of problem size and for the first time, that performance increases with circuit depth.
Journal ArticleDOI

OpenFermion: The Electronic Structure Package for Quantum Computers

TL;DR: OpenFermion as mentioned in this paper is an open-source software library written largely in Python under an Apache 2.0 license, aimed at enabling the simulation of fermionic and bosonic models and quantum chemistry problems on quantum hardware.
Journal ArticleDOI

Creating and manipulating a Laughlin-type ν=1/3 fractional quantum Hall state on a quantum computer with linear depth circuits

TL;DR: In this paper, a quantum algorithm is designed to enable the study of strongly interacting fermionic systems on a digitized quantum computer, and the algorithm is shown to work well on a large number of Fermionic Systems.