A brain-computer interface (BCI) designed with a hybrid electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) for letter and number recognition system for people who cannot speak. By this system, the words and numbers a subject thinks of are reflected on a display screen. A speech tool has been designed for these individuals allowing them to express themselves.

The Ising model calculation device selects a solution having a consistent quality from among solutions obtained through the calculations with the evaluation index of a calculation accuracy. A coupling coefficient obtained by combining the Ising model coupling coefficient corresponding to a problem for which a solution should be calculated with the Ising model coupling coefficient corresponding to the check problem is set as a coupling coefficient used to calculate the interaction. With regard to a calculation value corresponding to the check spin among the calculation values using a plurality of light pulses, the compatibility as the solution of the check problem is judged. When the judgement result shows the compatibility as the solution of the check problem, a calculation value other than the calculation values corresponding to the check spin among the resultant calculation values is outputted as a solution to the problem for which a solution should be calculated.

This disclosure includes methods for designing a simplified Integrated Computational Element (ICE) and for optimizing a selection of a combination of ICE designs. A method for fabricating a simplified ICE having one or more film layers includes predicting an optimal thickness of each of the one or more film layers of the simplified ICE using a neural network. A method for recalibrating the fabricated ICE elements for system implementation is also disclosed. The disclosure also includes the simplified ICE designed by and the ICE combination selected by the disclosed methods. The disclosure also includes an information handling system with machine-readable instructions to perform the methods disclosed herein.

A photonic device configured to perform matrix vector multiplication operations at high frequencies is provided. The vector being multiplied by the matrix is defined by vector components at specific wavelengths. The device includes a first waveguide and a second waveguide. A series of tunable microring resonators (MRRs) are coupled to the first waveguide and to a respective series of passive delay rings (PDRs), which are coupled to the second waveguide. Each MRR/PDR pair defines a tunable matrix component (tunable weight) for a respective wavelength component of the vector. A series of controllable delay elements (CDEs) such as all-pass filters are coupled to the first waveguide, upstream from the tunable MRRs. Any tuning dependent group delay caused by the MRR/PDR pairs can be compensated by controlling the CDEs such that each wavelength components has substantially a same delay as the other wavelength components.

A computing apparatus has a logic unit configured to perform an arithmetic operation by relating light beams, each having a respective light amplitude, to obtain a light-based result of the operation, and to evaluate the light-based result to output a corresponding numeric result. The logic unit uses variables values, each corresponding to a respective distinct light amplitude, the variable values thereby corresponding to a plurality of distinct light amplitudes.

An integrated photonics computing system implements a residue number system (RNS) to achieve orders of magnitude improvements in computational speed per watt over the current state-of-the-art. RNS and nanophotonics have a natural affinity where most operations can be achieved as spatial routing using electrically controlled directional coupler switches, thereby giving rise to an innovative processing-in-network (PIN) paradigm. The system provides a path for attojoule-per-bit efficient and fast electro-optic switching devices, and uses them to develop optical compute engines based on residue arithmetic leading to multi-purpose nanophotonic computing.

A device including a programmable photonic processor configured to operate on optical pulses to perform computational sequences of linear operations and nonlinear operations each based on a parametric nonlinear optical process; a memory coupled to the processor and programmable to store or accumulate the analog optical pulse amplitudes of the optical pulses; a control circuit controlling the transfer of the analog optical pulse amplitudes between the processor and the memory according to a computation schedule; and wherein information is multiplexed in time by encoding the information onto the analog optical pulse amplitudes of the optical pulses occupying time bins at a fixed repetition rate such that the optical pulses, occupying different ones of the time bins, can be made to interact using appropriate temporal delays.

An optical computing device includes a light diffraction element group including light diffraction elements each having an optical computing function, and a light receiver that detects respective intensities of wavelength components contained in signal light outputted from the light diffraction element group. The light diffraction elements are disposed side by side on a light path of the signal light inputted into the light diffraction element group such that the signal light passes sequentially through the light diffraction elements.

A method for seismic geological lineation mapping, wherein a seismic dataset is collected, with information about minor lineations generated by subtle structural geological features in an underground earth formation. Seismic attribute volumes are identified in the seismic dataset, relating to trace continuity, amplitude, frequency and phase. The attribute volumes may have an insufficient resolution to display the minor lineations. A seismic multivolume lithological lineation map is generated, in which single attribute lineation maps generated for each of the identified seismic attribute volumes are combined to accurately display the minor lineations generated by the subtle geological features.

An integrated photonics computing system implements a residue number system (RNS) to achieve orders of magnitude improvements in computational speed per watt over the current state-of-the-art. RNS and nanophotonics have a natural affinity where most operations can be achieved as spatial routing using electrically controlled directional coupler switches, thereby giving rise to an innovative processing-in-network (PIN) paradigm. The system provides a path for attojoule-per-bit efficient and fast electro-optic switching devices, and uses them to develop optical compute engines based on residue arithmetic leading to multi-purpose nanophotonic computing.