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Daniel Sank

Researcher at Google

Publications -  151
Citations -  29620

Daniel Sank is an academic researcher from Google. The author has contributed to research in topics: Qubit & Quantum computer. The author has an hindex of 65, co-authored 137 publications receiving 22529 citations. Previous affiliations of Daniel Sank include University of California, Santa Barbara & University of California, Berkeley.

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Supplementary information for "Quantum supremacy using a programmable superconducting processor"

TL;DR: In this paper, an updated version of supplementary information to accompany "Quantum supremacy using a programmable superconducting processor", an article published in the October 24, 2019 issue of Nature, is presented.
Journal ArticleDOI

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.
Journal ArticleDOI

Quantum ground state and single-phonon control of a mechanical resonator

TL;DR: This work shows that conventional cryogenic refrigeration can be used to cool a mechanical mode to its quantum ground state by using a microwave-frequency mechanical oscillator—a ‘quantum drum’—coupled to a quantum bit, which is used to measure the quantum state of the resonator.
Journal ArticleDOI

State preservation by repetitive error detection in a superconducting quantum circuit

TL;DR: The protection of classical states from environmental bit-flip errors is reported and the suppression of these errors with increasing system size is demonstrated, motivating further research into the many challenges associated with building a large-scale superconducting quantum computer.