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:
Mar. 28, 2023

Filed:

Jun. 14, 2020
Applicant:

Zapata Computing, Inc., Boston, MA (US);

Inventors:

Guoming Wang, North York, CA;

Enshan Dax Koh, Cambridge, MA (US);

Peter D. Johnson, Somerville, MA (US);

Yudong Cao, Cambridge, MA (US);

Pierre-Luc Dallaire-Demers, Toronto, CA;

Assignee:

Zapata Computing, Inc., Boston, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06N 10/00 (2022.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06N 10/00 (2019.01);
Abstract

A hybrid quantum-classical (HQC) computer takes advantage of the available quantum coherence to maximally enhance the power of sampling on noisy quantum devices, reducing measurement number and runtime compared to VQE. The HQC computer derives inspiration from quantum metrology, phase estimation, and the more recent 'alpha-VQE' proposal, arriving at a general formulation that is robust to error and does not require ancilla qubits. The HQC computer uses the 'engineered likelihood function' (ELF) to carry out Bayesian inference. The ELF formalism enhances the quantum advantage in sampling as the physical hardware transitions from the regime of noisy intermediate-scale quantum computers into that of quantum error corrected ones. This technique speeds up a central component of many quantum algorithms, with applications including chemistry, materials, finance, and beyond.


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