A device can include analog circuits formed with a substrate, including a comparator, analog switches, and a balance current circuit. A sensor current and balance current can be applied at an input of the comparator. The sensor current, balance current or both can be modulated with a switch control signal. Digital circuits can include switch control logic that generates the switch control signal in response to an output of the comparator and a modulation clock signal. Digital signal processing circuits can generate a multi-bit digital value from a bit stream output by the comparator circuit. The multi-bit digital value can be an analog-to-digital conversion of the sensor current. Corresponding methods and systems are also disclosed.

A method includes providing an artificial neural network comprising a compute-in-memory accelerator, the artificial neural network further comprising a hidden layer including a first plurality of artificial neurons; and training the artificial neural network using a bitwise modified rectified linear unit activation function for ones of the first plurality of artificial neurons, the bitwise modified rectified linear unit activation function comprising a bit activation function, which is configured to generate an output that is proportional to an input when the input is less than a critical threshold and configured to generate an output that is independent of the input when the input is greater than the critical threshold, wherein the input comprises a sum, across a second plurality of artificial neurons of a preceding layer of the artificial neural network having a plurality of weights associated therewith, respectively, of a product of an output from a respective one of the second plurality of artificial neurons and one bit of a respective one of the plurality of weights.

A method includes providing an artificial neural network comprising a compute-in-memory accelerator, the artificial neural network further comprising a hidden layer including a first plurality of artificial neurons; and training the artificial neural network using a bitwise modified rectified linear unit activation function for ones of the first plurality of artificial neurons, the bitwise modified rectified linear unit activation function comprising a bit activation function, which is configured to generate an output that is proportional to an input when the input is less than a critical threshold and configured to generate an output that is independent of the input when the input is greater than the critical threshold, wherein the input comprises a sum, across a second plurality of artificial neurons of a preceding layer of the artificial neural network having a plurality of weights associated therewith, respectively, of a product of an output from a respective one of the second plurality of artificial neurons and one bit of a respective one of the plurality of weights.

An analog-to-digital converter is disclosed that converts an input analog potential to a digital conversion value. An analog-to-digital converter according to one or more embodiments may include a comparator that compares the input analog potential with a reference potential; and a conversion circuit that measures comparison operation time from a start to an end of a comparison operation by the comparator and outputs the digital conversion value according to the measured comparison operation time and a comparison result by the comparator.

An analog-to-digital converter is disclosed that converts an input analog potential to a digital conversion value. An analog-to-digital converter according to one or more embodiments may include a comparator that compares the input analog potential with a reference potential; and a conversion circuit that measures comparison operation time from a start to an end of a comparison operation by the comparator and outputs the digital conversion value according to the measured comparison operation time and a comparison result by the comparator.

A novel and useful quantum computing machine architecture that includes a classic computing core as well as a quantum computing core. A programmable pattern generator executes sequences of instructions that control the quantum core. In accordance with the sequences, a pulse generator functions to generate the control signals that are input to the quantum core to perform quantum operations. A partial readout of the quantum state in the quantum core is generated that is subsequently re-injected back into the quantum core to extend decoherence time. Access gates control movement of quantum particles in the quantum core. Errors are corrected from the partial readout before being re-injected back into the quantum core. Internal and external calibration loops calculate error syndromes and calibrate the control pulses input to the quantum core. Control of the quantum core is provided from an external support unit via the pattern generator or can be retrieved from classic memory where sequences of commands for the quantum core are stored a priori in the memory. A cryostat unit functions to provide several temperatures to the quantum machine including a temperature to cool the quantum computing core to approximately 4 Kelvin.

A novel and useful quantum computing machine architecture that includes a classic computing core as well as a quantum computing core. A programmable pattern generator executes sequences of instructions that control the quantum core. In accordance with the sequences, a pulse generator functions to generate the control signals that are input to the quantum core to perform quantum operations. A partial readout of the quantum state in the quantum core is generated that is subsequently re-injected back into the quantum core to extend decoherence time. Access gates control movement of quantum particles in the quantum core. Errors are corrected from the partial readout before being re-injected back into the quantum core. Internal and external calibration loops calculate error syndromes and calibrate the control pulses input to the quantum core. Control of the quantum core is provided from an external support unit via the pattern generator or can be retrieved from classic memory where sequences of commands for the quantum core are stored a priori in the memory. A cryostat unit functions to provide several temperatures to the quantum machine including a temperature to cool the quantum computing core to approximately 4 Kelvin.

According to one embodiment, a sensor device includes a switch, a control circuit and an A/D converter. The switch is connected to a sensor element configured to store charge and provided to read the charge stored in the sensor element from the sensor element. The control circuit is configured to control the switch so as to partially and sequentially read the charge stored in the sensor element. The A/D converter is connected to the switch, which is configured to output a digital signal obtained by A/D-converting an analog signal according to the charge, for each charge partially read via the switch.

According to one embodiment, a sensor device includes a switch, a control circuit and an A/D converter. The switch is connected to a sensor element configured to store charge and provided to read the charge stored in the sensor element from the sensor element. The control circuit is configured to control the switch so as to partially and sequentially read the charge stored in the sensor element. The A/D converter is connected to the switch, which is configured to output a digital signal obtained by A/D-converting an analog signal according to the charge, for each charge partially read via the switch.

An analog counter circuit for use with a digital pixel includes an input; an output; a first inverter connected to the input that produces on a first inverter output a time delayed inverted signal (RP*) from an input signal received at the input; a second inverter connected to the first inverter output that produces a time delayed signal (RP) at a second inverter output from the input signal and that is delayed relative to RP* and a control switch connected between a source voltage and a floating node. The control switch is controlled by the signal RP* on the first inverter output. The analog counter also includes a feedback capacitor connected between the second inverter output and the floating node; an accumulating capacitor that accumulates at least some of a charge that passes through the control switch; and an injection switch connected between the control switch and the accumulating capacitor.