Raytheon Bbn Technologies Corp.

Rtx Bbn Technologies, Inc.

Massachusetts Institute of Technology

Hari Kiran Krovi

Luke Colin Gene Govia

Thomas Ohki

William D Oliver

Saikat Guha

Simon Gustavsson

Antti Pekka Vepsalainen

Graham Earle Rowlands

Guilhem Jean Ribeill

Terry Philip Orlando

Tuhin Sahai

William Daniel Kalfus

Benjamin Lienhard

Method for estimating separation distances between a plurality of image sources in a multi-point source imaging system includes: receiving a plurality of light beams, each from a respective image source and having a quantum state mode; constructing a point spread function (PSF) for light beams specific to a symmetry of the image sources; calculating a quantum Fourier transform on the quantum state mode of the plurality of light beams that achieves a quantum limit in a paraxial approximation regime to estimate separation of image sources at the quantum limit to transform the light beams; detecting the transformed light beams to generate electrical signals from respective transformed light beams; and performing signal processing on the electrical signals to estimate the separation distances between the plurality of image sources.

Estimating distances between multiple point image sources with quantum imaging

A method for node cluster assignment in a graph includes identifying neighboring nodes of a first node in the graph, calculating one or more elements of a graph Laplacian of the graph, the one or more elements of the graph Laplacian corresponding to the first node and the neighboring nodes, initializing a first wavefunction associated with the first node with an initial value, evolving the first wavefunction associated with the first node over time based on the initial value, the one or more elements of the graph Laplacian, and previous states of wavefunctions of the neighboring nodes to generate a time-evolved wavefunction vector, and identifying a cluster assignment of the first node based on the time-evolved wavefunction vector.

Decentralized graph clustering using the schrodinger equation

A reservoir computer. In some embodiments, the reservoir computer includes a Duffing oscillator, and a readout circuit, and the readout circuit is configured to calculate a plurality of products, each of the products being calculated by multiplying a sample, of a plurality of samples of a signal from the Duffing oscillator, by a respective weight of a plurality of weights.

Duffing oscillator reservoir computer

Techniques for machine learning assisted qubit state readout are disclosed. A system a set of training data that describes states of multiple qubits, and trains a neural network to determine qubit states based on the set of training data. The system obtains one or more unlabeled qubit signals, and determines one or more states corresponding to the unlabeled qubit signal(s), using the neural network. The unlabeled qubit signal(s) may include one or more multiplexed qubit signals, and the state(s) corresponding to the unlabeled qubit signal(s) may include one or more multi-qubit states based on the multiplexed qubit signal(s).

Machine learning assisted qubit state readout

An optical circuit for estimating separation distances between N image sources includes an aperture for receiving N light beams and producing a point spread function specific to a symmetry of the image sources from the plurality of light beams; first optical phase shifters to shift the quantum state modes of (N-1) light beams by; first beamsplitters, each for mixing respective pairs of quantum state modes of outputs of the first optical phase shifters for a quantum superposition of the respective pairs of the quantum state modes; second beamsplitters, each for mixing respective outputs of the first beamsplitters alternatively; second phase shifters to further shift outputs of the second beamsplitters; N detectors for converting each of the received N light beams to an analog signal; and a signal processing circuit for performing signal processing on the analog signals to estimate the separation distances.

Optical circuit for estimating distances between multiple point image sources with quantum imaging

A method for characterizing an N-qubit process, for N an integer greater than 1. In some embodiments, the method includes performing a plurality of characterization measurements of the N-qubit process to form a plurality of process maps, and fitting the plurality of process maps with a composition of K-qubit processes, K being an integer greater than 1 and less than N.

Pairwise ansatz for quantum process tomography

A system for modeling a collisional plasma particles distribution is provided. The system includes an input beam generator configured to generate an input beam having a first set of values of a parameter modelling an initial distribution of particles in a collisional plasma, a non-linear optical medium configured to receive the input beam and produce a complex response function in response to receiving the input beam, an output detector configured to detect a second set of values of the parameter responsive to propagation of the input beam through the non-linear medium to the output detector, a feedback module configured to modify one or more properties of the non-linear optical medium, and a controller configured to select the first set of values, receive the second set of values, and determine, based on the first set and the second set of values, a final distribution of the particles in the collisional plasma.

Non-linear optical simulator for collisional plasmas

A quantum circuit and method for Schur transform includes: a first quantum register including n quantum systems initialized to an initial state of '0', where n is an integer and represents a number of quantum systems; a second quantum register including m quantum systems initialized to the initial state of '0', where m is an integer and represents a required workspace; a first quantum circuit that operates on only the first register and performs a block diagonalization of the n quantum systems into permutation modules; a second quantum circuit that operates on both registers and block diagonalizes each of the permutation modules using a QFTPermMod operation; and one or more quantum output registers coupled to the second quantum circuit for holding a basis for the Schur transform.

Quantum circuit for high dimensional schur transform

A method implemented by an optical circuit, including beam splitter, phase shifters and cross-phase modulators, for solving Ising-model using quantum annealing discretizes a continuous time-dependent Hamiltonian function over a time period T, into a plurality of smaller portions; implements each of said smaller portions with a non-linear optical medium, and iterates over said smaller portions to output a solution of the Ising Hamiltonian problem, using the optical components.

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Lexington, MA, United States of America

Hari Kiran Krovi