Aspects for forward propagation of a convolutional artificial neural network are described herein. The aspects may include a direct memory access unit configured to receive input data from a storage device and a master computation module configured to select one or more portions of the input data based on a predetermined convolution window. Further, the aspects may include one or more slave computation modules respectively configured to convolute a convolution kernel with one of the one or more portions of the input data to generate a slave output value. Further still, the aspects may include an interconnection unit configured to combine the one or more slave output values into one or more intermediate result vectors, wherein the master computation module is further configured to merge the one or more intermediate result vectors into a merged intermediate vector.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for receiving a request from a client to process a computational graph; obtaining data representing the computational graph, the computational graph comprising a plurality of nodes and directed edges, wherein each node represents a respective operation, wherein each directed edge connects a respective first node to a respective second node that represents an operation that receives, as input, an output of an operation represented by the respective first node; identifying a plurality of available devices for performing the requested operation; partitioning the computational graph into a plurality of subgraphs, each subgraph comprising one or more nodes in the computational graph; and assigning, for each subgraph, the operations represented by the one or more nodes in the subgraph to a respective available device in the plurality of available devices for operation.

Various embodiments provide systems and methods for live action gaming.

Various embodiments provide systems and methods for live action gaming.

Described herein are embodiments of a photonic computing system comprising one or more processors in communication with disaggregated memory through one or more optical channels. The disaggregated memory comprises multiple memory units placed on a photonic substrate that includes a photonic network that can be programmed to configure which of the memory units can be accessed by each of the processor(s).

Described herein are embodiments of a photonic computing system comprising one or more processors in communication with disaggregated memory through one or more optical channels. The disaggregated memory comprises multiple memory units placed on a photonic substrate that includes a photonic network that can be programmed to configure which of the memory units can be accessed by each of the processor(s).

Methods and apparatus for training a matrix-based differentiable program using a photonics-based processor. The matrix-based differentiable program includes at least one matrix-valued variable associated with a matrix of values in a Euclidean vector space. The method comprises configuring components of the photonics-based processor to represent the matrix of values as an angular representation, processing, using the components of the photonics-based processor, training data to compute an error vector, determining in parallel, at least some gradients of parameters of the angular representation, wherein the determining is based on the error vector and a current input training vector, and updating the matrix of values by updating the angular representation based on the determined gradients.

Methods and apparatus for training a matrix-based differentiable program using a photonics-based processor. The matrix-based differentiable program includes at least one matrix-valued variable associated with a matrix of values in a Euclidean vector space. The method comprises configuring components of the photonics-based processor to represent the matrix of values as an angular representation, processing, using the components of the photonics-based processor, training data to compute an error vector, determining in parallel, at least some gradients of parameters of the angular representation, wherein the determining is based on the error vector and a current input training vector, and updating the matrix of values by updating the angular representation based on the determined gradients.

Described herein are systems and methods for coupling Nitrogen Vacancy (NV)-defects in a quantum computing architecture. A diamond wafer comprises separated implantation sites, at least a portion of which comprise a single NV-defect. An optical cavity system comprises cavity sites aligned to the implantation sites. An integrated optics system includes a first chip module comprising optical waveguides and associated switchable elements, photon sources, photon detectors, and fiber optic connections. A first switchable element couples a first pair of NV-defects by splitting a beam emitted by a photon source, via a first optical waveguide, to the cavity sites aligned to the implantation sites of the first pair of NV-defects. A second switchable element couples a second pair of NV-defects by splitting a beam emitted by a photon source, via a second optical waveguide, to the cavity sites aligned to the implantation sites of the second pair of NV-defects.

Described herein are systems and methods for coupling Nitrogen Vacancy (NV)-defects in a quantum computing architecture. A diamond wafer comprises separated implantation sites, at least a portion of which comprise a single NV-defect. An optical cavity system comprises cavity sites aligned to the implantation sites. An integrated optics system includes a first chip module comprising optical waveguides and associated switchable elements, photon sources, photon detectors, and fiber optic connections. A first switchable element couples a first pair of NV-defects by splitting a beam emitted by a photon source, via a first optical waveguide, to the cavity sites aligned to the implantation sites of the first pair of NV-defects. A second switchable element couples a second pair of NV-defects by splitting a beam emitted by a photon source, via a second optical waveguide, to the cavity sites aligned to the implantation sites of the second pair of NV-defects.