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.

Selectively configurable photonic logic gates, systems, and methods are provided. In at least one example, a photonic logic gate includes first and second inputs. The first input is configured to receive a first light having a first intensity and a first polarization. The second input is configured to receive a second light having a second intensity and a second polarization. The photonic logic gate is configured to generate a logical output based on the first and second intensities and the first and second polarizations of the first and second lights.

Disclosed are a method and apparatus for realizing a quantum operation. According to embodiments of the present disclosure, an ion qubit containing a first set of long-lived energy levels and a second set of long-lived energy levels is selected, wherein each of the first set of long-lived energy levels and the second set of long-lived energy levels contains two or more than two sub-energy levels for qubit encoding; a second continuous-wave laser beam containing two frequency components, which is used for coherent transfer between different sets of long-lived energy levels and construction of a single-qubit gate and a two-qubit gate, is obtained by performing frequency adjustment on a first continuous-wave laser beam; parameter adjustment is performed on the second continuous-wave laser beam according to a quantum operation to be performed to obtain a corresponding laser beam for performing the quantum operation according to quantum operation to be performed.

An optical logic gate decision-making circuit that combines non-linear materials, such as silicon nitride, on a silicon-on-insulator (SOI) substrate is described. Circuitry includes a ring cavity coupled to an input optical bus waveguide. The input optical bus waveguide receives an optical signal and passes the optical signal to the ring cavity. An electro-optical device, for instance a PN junction, is integrated within the ring cavity to modulate the optical signal such that an optical logic gate function is enabled. An output optical bus waveguide is also coupled to the ring cavity, which outputs the optical signal modified based on the optical logic gate function and based on a wavelength routing function. By using silicon nitride, the optical non-linearity of the materials enables an “all-optical” logic gate. Thus, the optical logic gate decision-making circuit is suitable for all-optical circuits, and support ultrafast optical signal processing and enabling packet switching of data.

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.

Photosensitive logic inverter, in particular of the CMOS type, formed of a transistor of type P and of a transistor of type N of which the respective threshold voltages can be modulated according to the quantity of photons received by a photosensitive zone provided opposite these transistors.

Photosensitive logic inverter, in particular of the CMOS type, formed of a transistor of type P and of a transistor of type N of which the respective threshold voltages can be modulated according to the quantity of photons received by a photosensitive zone provided opposite these transistors.

A photonics reservoir computing system is described. The system is configured for propagating at least one optical signal so as to create resulting radiation signals in the output channels. The photonics reservoir computing system further comprises weighting elements for weighting signals from the output channels, and at least one optical detector for optically detecting signals from the output channels. The system is adapted for estimating signals from the output channels through an output of the optical detector.

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.

Methods and controllers for reading a quantum state of an atomic object and/or qubit using coherent shelving are provided. A controller causes a first beam of a first wavelength and a second beam of a second wavelength to be incident on the qubit and causes a reading beam to be incident on the qubit. The first wavelength and the second wavelength are configured to couple a state of a qubit space of the qubit to a stable state. The stable state has a lifetime that is longer than a length of time required for performing a reading operation. The first beam and the second beam are generated by at least one manipulation source operated by at least one manipulation source driver of and/or in communication with and/or controlled by the controller.