Anametric, Inc.

Southern Methodist University

Ironwood Cyber Inc.

Bra-ket Science, Inc.

Mississippi State University

Mitchell A Thornton

William Vincent Oxford

Duncan Leo MacFarlane

Timothy P LaFave, Jr

Michael Taylor

Eric C Larson

Micah A Thornton

Kaitlin Smith

Saurabh Gupta

David W Matula

Alexandru Fit-Florea

Nathan Srirama

John Joseph Howard

Aviraj Sinha

Jeffrey David Allen

Travis Siems

Rohit Menon

Duncan L Macfarlane

Lun Li

Ian Johnson

Erik Gabrielsen

Robert B Reese

Theodore Manikas

Embodiments of systems and methods for efficient photonic based quantum circuitry in a heralded system are disclosed. Embodiments may employ filters with a photon pair source to route photons to quantum circuit blocks in a quantum system. These quantum circuit blocks can process the photons routed to those quantum circuit blocks in the quantum system.

Systems and methods for efficient photonic heralded quantum computing systems

Embodiments of PUF systems are disclosed. Embodiments of such PUFs may be operated in the classical domain or the quantum domain, and moreover, may comprise substantially the same circuitry, and operate substantially the same, when operating in the classical domain or the quantum domain. Additionally, embodiments of such PUF systems may be effectively utilized to generate uniquely identifying signatures for electronic devices based on electronic circuity, photonic circuitry or some combination of electronic and photonic circuitry and may be utilized to generate such signatures for such electronic devices regardless of whether such electronic device themselves operate in the classical or quantum domain.

Systems and methods for hybrid physical unclonable functions

Embodiments of systems and methods for a multi-source true random number generator (TRNG) are disclosed. A set of values is generated from each of the sources of randomness and an extractor is applied each of the set of values to produce a set of random values from each source. At least one extractor for at least one of the sources is a multi-radix extractor. The sets of values generated from each source of randomness can be composited to generate a random bitstring as the output of the TRNG.

Systems and methods for multi-source true random number generators, including multi-source entropy extractor based quantum photonic true random number generators

Systems, methods, applications and uses for trans-radix quantum information processing elements are disclosed.

Systems and methods for controlled quantum information processing with a trans-radix basis component

Embodiments of quantum ring oscillator-based coherence preservation circuits including a cascaded set of stages are described. Embodiments of such quantum ring oscillator-based coherence preservation circuits allow the internal (superpositioned) quantum state information of stored qubits to be preserved over long periods of time and present options for the measurement and potential correction of both deterministic and non-deterministic errors without disturbing the quantum information stored in the structure itself.

Systems and methods for preservation of qubits

In some implementations, a method includes retrieving data from multiple sensors in a computing device, and the multiple sensors comprise different types of sensors. The sensor data is analyzed based on a predictive model, and the predictive model is trained to detect malware. Initiation of malware is determined based on the analysis. In response to the determination, the malware is terminated.

Detecting malicious software using sensors

Described herein are methods, systems, and platforms comprising neural networks for control system anomaly detection.

Control system anomaly detection using neural network consensus

Gyroscope data can be used to generate upsampled signal. Multiple mobile devices are spaced apart from each other in a spatial arrangement. Each mobile device includes a gyroscope sensor to detect mechanical vibrations caused by signals originating within a vicinity of a mobile device that includes the gyroscope sensor. Each mobile device includes one or more respective processors to receive representations of the mechanical vibrations sensed by the gyroscope sensor at a sampling frequency, and transmit the representations received at the sampling frequency as a respective vibration signal associated with sampling times. The signal processor is coupled to the multiple mobile devices. The signal processor generates a processed upsampled signal by interleaving the vibration signal received from each mobile device and processing the interleaved signal using one or more machine learning filters, and transmitting the processed upsampled signal.

Generating upsampled signal from gyroscope data

Embodiments of feedback-based quantum circuits are described. Embodiments of such quantum circuits may be externally controlled using only basis or eigenstate (classically-observable) signals without triggering de-coherence. Additionally, embodiments of such quantum circuits allow the internal (superpositioned) quantum state information to be preserved over long periods of time and present options for quantum error-correction due to the basis-state controls. Moreover, a coupling of two such feedback-based quantum circuits allows for quantum-channel-based information exchange to a variety of ends.

Systems and methods for quantum coherence preservation of qubits

Methods, apparatuses, and computer program products for squaring an operand include identifying a fixed-point value with a fixed word size and a substring size for substrings of the fixed-point value, wherein the fixed-point value comprises a binary bit string. A square of the fixed-point value can be determined using the fixed point value, the substring size, and least significant bits of the fixed-point value equal to the substring size.

Squaring circuit

The present invention provides a device and method for classifying a user using pattern recognition of an input device. A series of the keystroke objects are received via the user input interface. A typing signature is determined for the series of keystroke objects using the processor by analyzing the key attributes of the series of keystroke objects using a pattern recognition algorithm. The typing signature is compared to one or more user typing signatures stored in the memory using the processor. The user is classified based on whether or not the typing signature is statistically similar to one of the stored typing signatures.

Growing community of inventors

Dallas, TX, United States of America

Mitchell A Thornton