Abstract: One or more systems, computer program products and/or computer-implemented methods of use provided herein relate to a process to generate an ansatz-hardware pairing. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a machine learning model that compares inputs to a database of stored ansatz-hardware pairings and that generates the ansatz-hardware pairing based on the comparing, wherein the inputs comprise desired ansatz metrics, defining a variational quantum algorithm, and hardware metrics of quantum hardware available to operate a quantum circuit defined by the ansatz, and a generating component that determines a prediction comprising the ansatz-hardware pairing, wherein the prediction comprises a predicted accuracy of an output of the quantum circuit to be performed on the quantum hardware of the ansatz-hardware pairing.

Abstract: A method includes obtaining device data corresponding to a set of electronic devices, the set including a first, second, and third electronic device. The method includes grouping the set of electronic devices into a first cluster and a second cluster, wherein the first cluster includes the first and second electronic devices, and the second cluster includes the third electronic device. The method includes obtaining first signature data comprising one or more first electrical parameters of the first electronic device and second signature data comprising one or more second electrical parameters of the second electronic device. The method includes determining that a first electrical parameter of the first signature data matches a second electrical parameter of the second signature data. The method includes regrouping the set of electronic devices such that the first cluster includes the first electronic device and the second cluster includes the second and third electronic devices.

Abstract: Methods, systems, and computer program products are provided herein in connection with IoT-enabled solar PV health monitoring and advising related thereto.

Abstract: Methods, systems, and computer program products are provided herein in connection with IoT-enabled solar PV health monitoring and advising related thereto.