Invention Grant
- Patent Title: Systems and methods for creating and using quantum Boltzmann machines
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Application No.: US15766755Application Date: 2016-10-14
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Publication No.: US11062227B2Publication Date: 2021-07-13
- Inventor: Mohammad H. S. Amin , Evgeny Andriyash , Jason Rolfe
- 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/US2016/057208 WO 20161014
- International Announcement: WO2017/066695 WO 20170420
- Main IPC: G06N10/00
- IPC: G06N10/00 ; G06N20/00 ; B82Y10/00 ; G06N3/04

Abstract:
A hybrid computer generates samples for machine learning. The hybrid computer includes a processor that implements a Boltzmann machine, e.g., a quantum Boltzmann machine, which returns equilibrium samples from eigenstates of a quantum Hamiltonian. Subsets of samples are provided to training and validations modules. Operation can include: receiving a training set; preparing a model described by an Ising Hamiltonian; initializing model parameters; segmenting the training set into subsets; creating a sample set by repeatedly drawing samples until the determined number of samples has been drawn; and updating the model. Operation can include partitioning the training set into input and output data sets, and determining a conditional probability distribution that describes a probability of observing an output vector given a selected input vector, e.g., determining a conditional probability by performing a number of operations to minimize an upper bound for a log-likelihood of the conditional probability distribution.
Public/Granted literature
- US20180308007A1 SYSTEMS AND METHODS FOR CREATING AND USING QUANTUM BOLTZMANN MACHINES Public/Granted day:2018-10-25
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