There is provided an analog signal gauge that monitors an analog signal at a node and a non-volatile memory element to store an event that occurs at the node when a certain criteria, such as exceeding a maximum safe threshold, is satisfied. This way, the analog signal gauge can help to provide an accurate picture of the operating characteristics in the analog circuit which it is monitoring, including indications of faults that occur in the analog system.

There is provided an analog signal gauge that monitors an analog signal at a node and a non-volatile memory element to store an event that occurs at the node when a certain criteria, such as exceeding a maximum safe threshold, is satisfied. This way, the analog signal gauge can help to provide an accurate picture of the operating characteristics in the analog circuit which it is monitoring, including indications of faults that occur in the analog system.

A circuit device includes an oscillation circuit and a processing circuit. The oscillation circuit includes a variable capacitance circuit configured by a capacitor array and oscillates at an oscillation frequency corresponding to the capacitance value of the variable capacitance circuit. First temperature data and second temperature data subsequent to the first temperature data are input to the processing circuit as temperature data. In the period between the start of the capacitance control based on the first temperature data and the start of the capacitance control based on the second temperature data, the processing circuit switches the first capacitance control data corresponding to the first temperature data and the second capacitance control data different from the first capacitance control data in a time-division manner to be output to the variable capacitance circuit.

A test and measurement instrument for analyzing signals using machine learning. The test and measurement instrument can determine a recovered clock signal based on the digital signal, set window positions for a fast Fourier transform of the digital signal, window the digital signal into a series of windowed waveform data based on the window positions, transform each of the windowed waveform data into a frequency-domain windowed waveform data using a fast Fourier transform, and determine high-order spectrum data of each of the frequency-domain windowed waveform data. The test and measurement instrument includes a neural network configured to receive the high-order spectrum data of the frequency-domain windowed transform data and classify each windowed waveform data based on the high-order spectrum data.

A test and measurement instrument for analyzing signals using machine learning. The test and measurement instrument can determine a recovered clock signal based on the digital signal, set window positions for a fast Fourier transform of the digital signal, window the digital signal into a series of windowed waveform data based on the window positions, transform each of the windowed waveform data into a frequency-domain windowed waveform data using a fast Fourier transform, and determine high-order spectrum data of each of the frequency-domain windowed waveform data. The test and measurement instrument includes a neural network configured to receive the high-order spectrum data of the frequency-domain windowed transform data and classify each windowed waveform data based on the high-order spectrum data.

Embodiments provide an audio amplifier circuit with integrated (built-in) filter (e.g., a digital-to-analog converter (DAC) filter). The audio amplifier circuit may have a non-flat (e.g., low-pass) closed loop frequency response. The audio amplifier circuit may include a low pass filter coupled between an input terminal that receives the input analog audio signal and the input of the gain stage of the amplifier. In some embodiments, additional impedance networks may be included to produce a desired low-pass filter response, such as a second order filter, a third order filter, and/or another suitable filter response. Other embodiments may be described and/or claimed.

Embodiments provide an audio amplifier circuit with integrated (built-in) filter (e.g., a digital-to-analog converter (DAC) filter). The audio amplifier circuit may have a non-flat (e.g., low-pass) closed loop frequency response. The audio amplifier circuit may include a low pass filter coupled between an input terminal that receives the input analog audio signal and the input of the gain stage of the amplifier. In some embodiments, additional impedance networks may be included to produce a desired low-pass filter response, such as a second order filter, a third order filter, and/or another suitable filter response. Other embodiments may be described and/or claimed.

Novel and useful quantum structures having a continuous well with control gates that control a local depletion region to form quantum dots. Local depleted well tunneling is used to control quantum operations to implement quantum computing circuits. Qubits are realized by modulating gate potential to control tunneling through local depleted region between two or more sections of the well. Complex structures with a higher number of qdots per continuous well and a larger number of wells are fabricated. Both planar and 3D FinFET semiconductor processes are used to build well to gate and well to well tunneling quantum structures. Combining a number of elementary quantum structure, a quantum computing machine is realized. An interface device provides an interface between classic circuitry and quantum circuitry by permitting tunneling of a single quantum particle from the classic side to the quantum side of the device. Detection interface devices detect the presence or absence of a particle destructively or nondestructively.

Novel and useful quantum structures having a continuous well with control gates that control a local depletion region to form quantum dots. Local depleted well tunneling is used to control quantum operations to implement quantum computing circuits. Qubits are realized by modulating gate potential to control tunneling through local depleted region between two or more sections of the well. Complex structures with a higher number of qdots per continuous well and a larger number of wells are fabricated. Both planar and 3D FinFET semiconductor processes are used to build well to gate and well to well tunneling quantum structures. Combining a number of elementary quantum structure, a quantum computing machine is realized. An interface device provides an interface between classic circuitry and quantum circuitry by permitting tunneling of a single quantum particle from the classic side to the quantum side of the device. Detection interface devices detect the presence or absence of a particle destructively or nondestructively.

An example device comprises a digital-to-analog converter (DAC) comprising first and second transistors coupled to a first amplifier, the second transistor coupled to a first output of the DAC and to an output of the first amplifier, and third and fourth transistors coupled to the first amplifier and to a second output of the DAC, the third and fourth transistors switchably coupled to a voltage supply and to the first transistor. The device also comprises a first node coupled to the first output of the DAC and to a resistor. The device further includes a second node coupled to the second output of the DAC, and a second amplifier coupled to the second node and to the first transistor and switchably coupled to the third and fourth transistors. The device also comprises a comparator coupled to the first node.