Invention Grant
- Patent Title: Systems and methods for machine learning using adiabatic quantum computers
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Application No.: US15753661Application Date: 2016-08-18
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Publication No.: US11410067B2Publication Date: 2022-08-09
- Inventor: Jason Rolfe , Dmytro Korenkevych , Mani Ranjbar , Jack R. Raymond , William G. Macready
- Applicant: D-WAVE SYSTEMS INC.
- Applicant Address: CA Burnaby
- Assignee: D-WAVE SYSTEMS INC.
- Current Assignee: D-WAVE SYSTEMS INC.
- Current Assignee Address: CA Burnaby
- Agency: Cozen O'Connor
- International Application: PCT/US2016/047628 WO 20160818
- International Announcement: WO2017/031357 WO 20170223
- Main IPC: G06N10/00
- IPC: G06N10/00 ; G06N20/00 ; G06N3/08 ; G06F15/80 ; G06F17/18 ; G06N5/04 ; G06T1/20

Abstract:
A computational system can include digital circuitry and analog circuitry, for instance a digital processor and a quantum processor. The quantum processor can operate as a sample generator providing samples. Samples can be employed by the digital processing in implementing various machine learning techniques. For example, the digital processor can operate as a restricted Boltzmann machine. The computational system can operate as a quantum-based deep belief network operating on a training data-set.
Public/Granted literature
- US20200210876A1 SYSTEMS AND METHODS FOR MACHINE LEARNING USING ADIABATIC QUANTUM COMPUTERS Public/Granted day:2020-07-02
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