The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 21, 2021

Filed:

Nov. 01, 2016
Applicant:

Google Llc, Mountain View, CA (US);

Inventor:

Vasil S. Denchev, West Lafayette, IN (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 10/00 (2019.01); G06F 17/17 (2006.01); G06Q 10/00 (2012.01); G06Q 10/04 (2012.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 10/00 (2019.01); G06F 17/17 (2013.01); G06Q 10/00 (2013.01); G06Q 10/04 (2013.01); G06N 20/00 (2019.01);
Abstract

Methods, systems, and apparatus for numerical quantum experimentation. In one aspect, a method includes identifying (i) a computational problem that is a candidate for a quantum computation, and (ii) one or more numerical algorithms for solving the candidate computational problem; providing input task data identifying (i) the candidate computational problem, and (ii) the one or more numerical algorithms, to a numerical quantum experimentation system, wherein the numerical quantum experimentation system comprises multiple universal numerics workers, a universal numerics worker, of the multiple universal numerics workers being configured to solve the candidate computational problem using the one or more numerical algorithms; receiving, from the numerical quantum experimentation system, data representing results of the one or more numerical algorithms to solve the candidate computational problem; and determining whether the received data indicates that a quantum computation applied to the candidate computational problem has a greater efficacy for arriving at a solution than a classical computation applied to the candidate computational problem.


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