Abstract: Systems, computer-implemented methods, and computer program products that can facilitate determining a state of a qubit are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an output receiving component that can receive, in response to a request, output representative of a quantum state of a qubit of a quantum computing device, and a classifying component that classifies the quantum state of the qubit of the quantum computing device based on the output representative of the quantum state of the qubit. The system can further include a configuring component that can configure the classifying component based on a characteristic of the request.

Abstract: A computing device is provided, including a cluster update accelerator circuit configured to receive signals encoding a combinatorial cost function of a plurality of variables and a connectivity graph for the combinatorial cost function. In an energy sum phase, the cluster update accelerator circuit may determine a respective plurality of accumulated energy change values for the combinatorial cost function based at least in part on the connectivity graph. In an update phase, the cluster update accelerator circuit may determine a respective update indicator bit for each accumulated energy change value. In an encoder phase, based on the plurality of update indicator bits, the cluster update accelerator circuit may select a largest update-indicated cluster of the variables included in the connectivity graph. The cluster update accelerator circuit may output an instruction to update the variables included in the largest update-indicated cluster.

Abstract: Method, apparatus and product for modeling of quantum circuits and usages thereof. A method comprises obtaining a model of a quantum circuit that comprises a set of decision variables, corresponding domains, and constraints, wherein the set of decision variables comprise gate assignment decision variables that define an assignment of a gate to a qubit in a cycle in the quantum circuit. The method comprises automatically determining a set of valuations for the set of decision variables. The set of valuations are selected from the corresponding domains and satisfy the constraints. Based on the set of valuations the quantum circuit is synthesized.

Abstract: The present disclosure relates to a computer-implemented method for electronic design is provided. Embodiments may include receiving, using at least one processor, an electronic design having an original schematic associated therewith and extracting one or more features for each net from the schematic. Embodiments may include storing one or more resistance or capacitance values for each net and applying the one or more resistance or capacitance values as labels for a machine learning model. Embodiments may also include training the machine learning model using one or more actual values to generate a trained model. Embodiments may further include receiving the trained model to predict parasitics for a stitching engine and generating a stitched schematic.

Abstract: A wireless power reception apparatus and a mobile terminal are provided. The wireless power reception apparatus includes the following. A coil includes a first end, a second end, and a tap. The coil defined by the first end and the second end is configured to provide a first voltage, and the coil defined by the first end and the tap is configured to provide a second voltage. A first rectifying unit coupled with the first end and the second end of the coil. A second rectifying unit coupled with the first end and the tap of the coil. A charging unit coupled with the first rectifying unit and configured to apply the first voltage to a battery for charging. A power supply unit coupled with the second rectifying unit and configured to apply the second voltage to power a wireless receiving chip.

Abstract: A system for ANN training through processing power of parked vehicles. The system can include a master computing device having a controller configured to control training of an ANN. The training can be performed at least partially in separate parts by computing devices of parked vehicles. The controller can be configured to separate computing tasks of training the ANN into separated tasks. Also, the controller can be configured to assign at least some of the separated tasks to selected computing devices of parked vehicles. The controller can also be configured to receive and assemble results of the separated tasks to train the ANN. The controller can also be configured to train the ANN according to the results. The master computing device can be configured to send the assigned tasks to the selected devices of the vehicles as well as receive, from the selected devices, the results of the assigned tasks.

Abstract: The present invention maintains the accuracy of a reference current used in a functional circuit. Disclosed is a current generator circuit including a functional circuit and a diagnostic circuit. The functional circuit uses a reference current. The diagnostic circuit diagnoses the reference current in accordance with a comparison result obtained from comparison between the period of a periodic signal generated based on the reference current and the period of a reference clock inputted from the outside.

Abstract: A computing device includes a processor and a storage device. A wafer asset modeling module is stored in the storage device and is executed by the processor to configure the computing device to perform acts identifying and clustering a plurality of assets based on static properties of a wafer asset using a first module of the wafer asset modeling module. The clustered plurality of assets is determined based on dynamic properties of the wafer asset using a second module of the wafer asset modeling module. Event prediction is performed by converting a numeric data of the clustered plurality of assets to a natural language processing (NLP) domain by a third module of the wafer asset modeling module. One or more sequence-to-sequence methods are performed to predict a malfunction of a component of the wafer asset and/or an event based on past patterns. Prediction information is stored in the storage device.

Abstract: Collaborative filtering systems based on variational autoencoders (VAEs) are provided. VAEs may be trained on row-wise data without necessarily training a paired VAE on column-wise data (or vice-versa), and may optionally be trained via minibatches. The row-wise VAE models the output of the corresponding column-based VAE as a set of parameters and uses these parameters in decoding. In some implementations, a paired VAE is provided which receives column-wise data and models row-wise parameters; each of the paired VAEs may bind their learned column- or row-wise parameters to the output of the corresponding VAE. The paired VAEs may optionally be trained via minibatches. Unobserved data may be explicitly modelled. Methods for performing inference with such VAE-based collaborative filtering systems are also disclosed, as are example applications to search and anomaly detection.

Abstract: A module-based framework evaluates designs of advanced start stop systems, particularly 12 V advanced start stop systems. The framework separates vehicle and battery analysis and uses a power profile to evaluate different designs of the vehicles and batteries. Particularly, the framework can evaluate different battery solutions and compare performances as a function of drive cycles, motor size, and electrical loads. In addition to modeling, actual batteries are tested for the same power inputs for validating performance differences. This framework identifies performance limiting components for determination of the vehicle system component optimization.

Abstract: A charging device, a terminal, and a method for controlling charging are provided. The charging device includes a wireless receiving circuit, a charging interface, a charging management module, and a control module. The wireless receiving circuit is configured to convert a wireless charging signal received into charging electrical energy. The charging interface is configured to receive charging electrical energy supplied by an external power supply device. The charging management module is configured to adjust a voltage and/or current in the charging electrical energy output from the wireless receiving circuit or the charging interface. The control module is configured to control a first charging channel where the wireless receiving circuit and the charging management module are disposed to be switched on, and/or control a second charging channel where the charging interface and the charging management module are disposed to be switched on.

Abstract: A device includes: a plurality of qubits arranged in a two-dimensional array and a plurality of readout resonators. Each readout resonator of a first readout resonator group is arranged to electromagnetically couple to a respective qubit of a first qubit group. Each readout resonator of a second readout resonator group is arranged to electromagnetically couple to a respective qubit of a second qubit group. A resonance frequency of each readout resonator of the first readout resonator group is within a first resonance frequency band, and a resonance frequency of each readout resonator of the second readout resonator group is within a second resonance frequency band that is different from the first resonance frequency band.

Abstract: A system for testing a circuit comprises scan chains, a controller configured to generate a bit-inverting signal based on child test pattern information, and bit-inverting circuitry coupled to the controller and configured to invert bits of a parent test pattern associated with a plurality of shift clock cycles based on the bit-inverting signal to generate a child test pattern during a shift operation. Here, the plurality of shift clock cycles for bit inverting occur every m shift clock cycles, and the child test pattern information comprises information of m and location of the plurality of shift clock cycles in the shift operation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing integrated circuit architectures or compiler designs using an optimization engine. The optimization engine includes an auto-encoder and one or more regressors. Once trained, the optimization engine can encode initial, discrete input values of a set of input characteristics into a continuous domain and use continuous optimization techniques to identify final input values of the set of input characteristics that optimize one or more output characteristics.

Abstract: A wireless power system for an implantable device is described. The system includes multiple inductive charging coils to increase an effective area for receiving an electromagnetic charging field from a wireless charging device. The multiple inductive charging coils produce different alternating current signals in response to receiving the electromagnetic charging field. The system includes a rectifying circuit for rectifying the alternating current signals into direct current signals. The system also includes a current combination circuit for combining the multiple direct current signals into a single direct current for powering an operation of the implantable device. Methods and devices for implementing the power system in an implantable device are also described.

Abstract: Systems and techniques that facilitate Hamiltonian simulation based on simultaneous-diagonalization are provided. In various embodiments, a partition component can partition one or more Pauli operators of a Hamiltonian into one or more subsets of commuting Pauli operators. In various embodiments, a diagonalization component can generate one or more simultaneous-diagonalization circuits corresponding to the one or more subsets. In various aspects, a one of the one or more simultaneous-diagonalization circuits can diagonalize the commuting Pauli operators in a corresponding one of the one or more subsets. In various embodiments, an exponentiation component can generate one or more exponentiation circuits corresponding to the one or more subsets. In various aspects, a one of the one or more exponentiation circuits can exponentiate the simultaneously diagonalized commuting Pauli operators in a corresponding one of the one or more subsets.

Abstract: Mapping of logical qubits to physical qubits is provided. In various embodiments, a first candidate subgraph is selected from a hardware graph. The hardware graph represents a physical quantum circuit. The hardware graph comprises a plurality of nodes corresponding to physical qubits and a plurality of edges corresponding to coupling among the plurality of qubits.

Abstract: Method for activating predefined functions, implemented in a host appliance integrating or linked to a wireless charging device, and including the steps of: detecting that a mobile appliance has just been positioned on a reception surface of the wireless charging device in order to be recharged; following the detection that the mobile appliance has just been positioned on the reception surface, activating or deactivating at least one predefined first function performed by the host appliance, in addition to recharging the mobile appliance; then, detecting that the mobile appliance has just been moved away from the reception surface; following the detection that the mobile appliance has just been moved away from the reception surface, activating or deactivating at least one predefined second function performed by the host appliance.

Abstract: A wireless power transmission system comprising a wireless power transmitting device and a wireless power receiving device. The wireless power receiving device is configured to enter a cloak state when a temporary pause in power transfer is desired. The wireless power receiving device may allow or deny a communication data stream with the wireless power transmitting device during the cloak state. The wireless power receiving device may request a hot start power transfer phase with the wireless power transmitting device after the cloak state. The wireless power transmitting device may or revert (reset) to a default operating state in the event that a control error packet is received during the cloak state.

Abstract: According to various embodiments, an electronic device may include: a battery; a charging circuit; a wireless power reception circuit configured to acquire transmission power wirelessly output from an external electronic device; and a processor, wherein the processor is configured to charge the battery through the charging circuit by using reception power acquired through the wireless power reception circuit, obtain status information related to the charging operation during the charging operation, and transmit a specified signal, corresponding to pausing of the transmission power, to the external electronic device such that the external electronic device pauses outputting of the transmission power, at least on the basis of the status information. In addition to the various embodiments according, other various embodiments are also possible.