USA as Represented by Secretary of the Navy

Brian A Higa

Michael O'Brien

Marcio Calixto De Andrade

Osama M Nayfeh

Kenneth S Simonsen

Eric C Fisher

A method for improving performance of a superconducting, flux-quantizing analog to digital converter (SFADC), comprising the following steps. The first step involves providing a known digitally-modulated signal as an input to the SFADC. Another step provides for generating an output with the SFADC based on the known digitally-modulated signal. Another step provides for comparing the characteristics of the output with ideal characteristics to identify an individual rapid single flux quantum (RSFQ) element of the SFADC that is contributing one or more of noise and error to the output. Another step provides for altering one or more of a bias, a delay, and a temperature of the individual RSFQ element to reduce one or more of the noise and the error.

Method for improving performance of a superconducting, flux-quantizing analog to digital converter

A receiver for detecting at least one electromagnetic signal while the receiver is moving relative to the Earth's magnetic field, the receiver comprising: an SQUID array for generating an output that is a transfer function of SQUID array magnetic flux that is supplied from a combination of an oscillating magnetic field of the at least one electromagnetic signal, the Earth's magnetic field, and a bias magnetic field; a bias-tee configured to divide the SQUID array output into a DC signal and an RF signal; a memory store configured to store a plurality of voltage and flux bias values, wherein each voltage value has a corresponding flux bias value that results in maximum SQUID array sensitivity; and a logic circuit configured to find a voltage value in the memory store that most closely matches the DC signal, and to apply to the SQUID array a flux bias corresponding to the most closely matched voltage value.

Superconducting quantum interference array receiver and method for digitally controlling magnetic flux bias thereof

A method useful for network and spectrum defense which operates to analyze cyber data and spectra while performing real time optimization which is based on the analyzed cyber data or spectrum. The method utilizes quantum computing and reconfigurable qubits with built-in memory to sample a target cyber data or spectrum, search through the sample and determine a desired or required network or spectrum reallocation, and determine optimal values for its order parameters and Hamiltonian and tune the qubits in accordance with the determination. An embodiment may provide for spectrum optimization that minimizes frequency bandwidth, power, and bit error rate. The desired or required network or spectrum reallocation and optimal values order parameters and Hamiltonian may be stored in the built-in memory to facilitate machine learning.

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San Diego, CA, United States of America

Brian A Higa