Abstract: Various examples are provided related to quantum reservoir neural network processing including machine learning with correlated quantum matter and use of correlated quantum matter as a physical unclonable function (PUF). In one example, a quantum reservoir neural network processor includes a structure including correlated quantum matter; input electrodes that can apply input signals; output electrodes that can provide an output signal generated in response to the input signals and a control signal applied to the structure; and processing circuitry that can receive the output signal and provide the control signal. The processing circuitry can identify an input corresponding to the input signals based upon the output signal. In another example, a PUF includes correlated quantum matter; at least one input electrode disposed on a first side of the correlated quantum matter; and an output electrode disposed on a second side of the correlated quantum matter opposite the first side.

Abstract: Examples described herein provide a computer-implemented method for training a neural network using forward signal propagation learning. The method includes receiving, at a first layer of the neural network, an input value and a label associated with the input value. The method further includes calculating, for the first layer of the neural network, a first loss value based at least in part on outputs of the first layer for the input value and for the label. The method further includes updating, based at least in part on the first loss value, the first layer of the neural network based at least in part on the outputs of the first layer for the input value and for the label.

Abstract: Provided herein are systems and methods for separation of particulate from water using ultrasonically generated acoustic standing waves.

Abstract: A flow chamber is provided through which is flowed a mixture of a fluid and a particulate. The flow chamber comprises at least one multi-phase water inlet through which multi-phase water enters the flow chamber, a water outlet through which water exits the flow chamber, a solids outlet through which particles having a density at or above a pre-defined threshold exit the flow chamber, and a low density outlet through which particles having a density below the pre-defined threshold exit the flow chamber. Also provided are one or more ultrasonic transducers and one or more reflectors corresponding to each transducer to acoustically filter the fluid and cause particles/fluid to be selectively diverted to one of the outlets. Related apparatus, systems, techniques and articles are also described.

Abstract: Acoustophoretic devices and methods for using such devices in various applications are disclosed. The devices include a flow chamber having an inlet; a phononic crystal within an active volume of the flow chamber; and ultrasonic transducer(s) that create an acoustic standing wave in the active volume. This combination results in the creation of high-pressure nodes within the active volume, having a value of at least 50 MPa, which is useful for different applications.

Abstract: A flow chamber is provided through which is flowed a mixture of a fluid and a particulate. The flow chamber comprises at least one multi-phase water inlet through which multi-phase water enters the flow chamber, a water outlet through which water exits the flow chamber, a solids outlet through which particles having a density at or above a pre-defined threshold exit the flow chamber, and a low density outlet through which particles having a density below the pre-defined threshold exit the flow chamber. Also provided are one or more ultrasonic transducers and one or more reflectors corresponding to each transducer to acoustically filter the fluid and cause particles/fluid to be selectively diverted to one of the outlets. Related apparatus, systems, techniques and articles are also described.

Abstract: Provided herein are systems and methods for separation of particulate from water using ultrasonically generated acoustic standing waves.

Abstract: Provided herein are systems and methods for separation of particulate from water using ultrasonically generated acoustic standing waves.

Abstract: Provided herein are systems and methods for separation of particulate from water using ultrasonically generated acoustic standing waves.

Abstract: Provided herein are systems and methods for separation of particulate from water using ultrasonically generated acoustic standing waves.

Abstract: The present invention relates to methods for mining real-world databases that have mixed data types (e.g., scalar, binary, category, etc.) to extract an implicit time-sequence to the data and to utilize the extracted information to compute categories for the input data and to predict categorization of future input data vectors. Many real-world databases may not have explicit time data yet there may be inherent time data which may be extracted from the database itself. The present invention extracts such inherent time sequence data and utilizes it to classify the data vectors at each instant in time for purposes of categorizing the data at that time instant. The present invention has wide applicability and may find use in fields such as manufacturing, financial services, or government. In particular, the present invention may be used to identify potential threats, to predict the presence of a threat, and even to evaluate the degree of threat posed.