Described herein are techniques of using a hybrid analog-digital processor to optimize parameters of a system for an objective under one or more constraints. The techniques involve using the hybrid analog-digital processor to optimizing parameter values of the system. The optimizing comprises: determining, using an analog processor of the hybrid analog-digital processor, a parameter gradient for parameter values of the system based on the objective function and the at least one constraint; and updating the parameter values of the system using the parameter gradient.

The invention relates to the field of photonic integrated circuits and provides an optical modulator and a photonic integrated system, which can suppress phase deviation caused by carrier diffusion. The optical modulator includes at least one phase shifter including a waveguide channel for transmitting optical signal, and a P-type doped region and a N-type doped region located on opposite sides of the waveguide channel. In the waveguide channel, an undoped intrinsic region is located between the P-type doped region and the N-type doped region. At least one end of the intrinsic region or close to the at least one end is provided with a blocking structure for blocking the diffusion of carriers from the intrinsic region along the waveguide propagation direction, so that the phase deviation caused by the diffusion of carriers can be suppressed, and the electrical crosstalk between adjacent phase shifters can be suppressed, thereby avoiding modulation signal distortion caused by the electrical crosstalk. As a result, the reliability and precision of the photonic integrated system can be improved.

There is described herein a quantum computing system, quantum processor, and method of operating a quantum computing system. The quantum computing system comprises a quantum control system configured for at least one of delivery and receipt of multiplexed optical signals. At least one optical fiber is coupled to the quantum control system for carrying the multiplexed optical signals, and a quantum processor is disposed inside a cryogenics apparatus and coupled to the at least one optical fiber. The quantum processor comprises: at least one converter configured for converting between the multiplexed optical signals and microwave signals at different frequencies; and a plurality of solid-state quantum circuit elements coupled to the at least one converter and addressable by respective ones of the microwave signals at different frequencies.

A system performing optical and/or electro-optical tensor operations and featuring a photonic dot product engine with a first input and a second input and summation to perform multiply-accumulate operations. The first and/or second input is a matrix, and/or a vector, and/or scalar. The system is a Photonic Tensor Core.

A parallel optical computing system is described, said system comprising:

at least one first module (10) comprising at least one polarization filter (12) and at least one liquid crystal cell (13), the first module (10) being configured as an optical modulator (100) for receiving light from a light source (70) and for encoding the light output from the liquid crystal cell (13) into optical data to be processed;

at least one second module (20) comprising at least one polarization filter (22) and at least one liquid crystal cell (23), the second module (20) being able to be configured as an optical processor (200) for receiving the optical data to be processed and for outputting an optical result of the processing;

at least one optical detector (40), designed to receive the optical result of the processing and convert the optical result into a corresponding electrical result.

Systems and methods that include: providing input information in an electronic format; converting at least a part of the electronic input information into an optical input vector; optically transforming the optical input vector into an optical output vector based on an optical matrix multiplication; converting the optical output vector into an electronic format; and electronically applying a non-linear transformation to the electronically converted optical output vector to provide output information in an electronic format. In some examples, a set of multiple input values are encoded on respective optical signals carried by optical waveguides. For each of at least two subsets of one or more optical signals, a corresponding set of one or more copying modules splits the subset of one or more optical signals into two or more copies of the optical signals. For each of at least two copies of a first subset of one or more optical signals, a corresponding multiplication module multiplies the one or more optical signals of the first subset by one or more matrix element values using optical amplitude modulation. For results of two or more of the multiplication modules, a summation module produces an electrical signal that represents a sum of the results of the two or more of the multiplication modules.

A system for photonic computing, preferably including an input module, computation module, and/or control module, wherein the computation module preferably includes one or more filter banks and/or detectors. A photonic filter bank system, preferably including two waveguides and a plurality of optical filters optically coupled to one or more of the waveguides. A method for photonic computing, preferably including controlling a computation module, controlling an input module, and/or receiving outputs from the computation module.

Methods, systems and apparatus for simulating quantum systems. In one aspect, a method includes the actions of obtaining a first Hamiltonian describing the quantum system, wherein the Hamiltonian is written in a plane wave basis comprising N plane wave basis vectors; applying a discrete Fourier transform to the first Hamiltonian to generate a second Hamiltonian written in a plane wave dual basis, wherein the second Hamiltonian comprises a number of terms that scales at most quadratically with N; and simulating the quantum system using the second Hamiltonian.

The disclosure describes an adaptive and optimal imaging of individual quantum emitters within a lattice or optical field of view for quantum computing. Advanced image processing techniques are described to identify individual optically active quantum bits (qubits) with an imager. Images of individual and optically-resolved quantum emitters fluorescing as a lattice are decomposed and recognized based on fluorescence. Expected spatial distributions of the quantum emitters guides the processing, which uses adaptive fitting of peak distribution functions to determine the number of quantum emitters in real time. These techniques can be used for the loading process, where atoms or ions enter the trap one-by-one, for the identification of solid-state emitters, and for internal state-detection of the quantum emitters, where each emitter can be fluorescent or dark depending on its internal state. This latter application is relevant to efficient and fast detection of optically active qubits in quantum simulations and quantum computing.

An optical neural network is constructed based on photonic integrated circuits to perform neuromorphic computing. In the optical neural network, matrix multiplication is implemented using one or more optical interference units, which can apply an arbitrary weighting matrix multiplication to an array of input optical signals. Nonlinear activation is realized by an optical nonlinearity unit, which can be based on nonlinear optical effects, such as saturable absorption. These calculations are implemented optically, thereby resulting in high calculation speeds and low power consumption in the optical neural network.