D-wave Systems Inc.

Kindred Systems Inc.

Dmytro Korenkevych

William G Macready

Murray C Thom

Aidan Patrick Roy

Fabian Ariel Chudak

Sheir Yarkoni

Zhengbing Bian

Yanbo Xue

Kelly T R Boothby

Robert B Israel

Geordie Rose

Suzanne Gildert

Miles F H Steininger

Jason Rolfe

Jack R Raymond

Mani Ranjbar

Kelly Tr Boothby

Computational systems implement problem solving using hybrid digital/quantum computing approaches. A problem may be represented as a problem graph which is larger and/or has higher connectivity than a working and/or hardware graph of a quantum processor. A quantum processor may be used determine approximate solutions, which solutions are provided as initial states to one or more digital processors which may implement classical post-processing to generate improved solutions. Techniques for solving problems on extended, more-connected, and/or 'virtual full yield' variations of the processor's actual working and/or hardware graphs are provided. A method of operation in a computational system comprising a quantum processor includes partitioning a problem graph into sub-problem graphs, and embedding a sub-problem graph onto the working graph of the quantum processor. The quantum processor and a non-quantum processor-based device generate partial samples. A controller causes a processing operation on the partial samples to generate complete samples.

Systems and methods for analog processing of problem graphs having arbitrary size and/or connectivity

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.

Systems and methods for machine learning using adiabatic quantum computers

Substantially as described and illustrated herein including devices, methods of operation for the systems or devices, articles of manufacture including stores processor-executable instructions, and a system including a robot. The system includes at least one processor. The system may further include a nontransitory processor-readable storage device communicatively coupled to at least one processor and which stores processor-executable instructions which, when executed by the at least one processor, cause the at least one processor to composite environment information that represents an environment and virtual item information that represents the virtual item to produce composited information, present to an agent the composited information, and receive action information that represents an action for the robot to perform via the output system.

Systems and methods for training robots using augmented reality and machine learning

Systems, devices, articles, and methods for creating and using trained robots with augmented reality

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Burnaby, Canada

Dmytro Korenkevych