Methods and systems for quantum computing based sample analysis include computing cross-correlations of two images using a quantum processing system, and computing less noisy image based of two or more images using a quantum processing system. Specifically, the disclosure includes methods and systems for utilizing a quantum computing system to compute and store cross correlation values for two sets of data, which was previously believed to be physically impossible. Additionally, the disclosure also includes methods and systems for utilizing a quantum computing system to generate less noisy data sets using a quantum expectation maximization maximum likelihood (EMML). Specifically, the disclosed systems and methods allow for the generation of less noisy data sets by utilizing the special traits of quantum computers, the systems and methods disclosed herein represent a drastic improvement in efficiency over current systems and methods that rely on traditional computing systems.

Methods and systems for quantum computing based sample analysis include computing cross-correlations of two images using a quantum processing system, and computing less noisy image based of two or more images using a quantum processing system. Specifically, the disclosure includes methods and systems for utilizing a quantum computing system to compute and store cross correlation values for two sets of data, which was previously believed to be physically impossible. Additionally, the disclosure also includes methods and systems for utilizing a quantum computing system to generate less noisy data sets using a quantum expectation maximization maximum likelihood (EMML). Specifically, the disclosed systems and methods allow for the generation of less noisy data sets by utilizing the special traits of quantum computers, the systems and methods disclosed herein represent a drastic improvement in efficiency over current systems and methods that rely on traditional computing systems.

A logic gate with a neuron circuit which is used in electronic logic circuits, enables the arithmetic inputs to give output signal over the threshold value depending on a set threshold value according to the used AND, OR and MAJORITY logic gates, and enables to realize the logic processes by adjusting the triggering threshold value.

A logic gate with a neuron circuit which is used in electronic logic circuits, enables the arithmetic inputs to give output signal over the threshold value depending on a set threshold value according to the used AND, OR and MAJORITY logic gates, and enables to realize the logic processes by adjusting the triggering threshold value.

A circuit configured to transmit frequency multiplexed signals from a superconducting domain to a higher temperature domain. The circuit comprising a multiplexed signal output and a plurality of superconducting oscillator circuits each configured to output a different carrier frequency, each superconducting oscillator circuit comprising an oscillator output connected to the multiplexed signal output. Each superconducting oscillator circuit comprising a converter stage configured to convert an input of a superconducting logic signal to a Single Flux Quantum (SFQ) bit value, a splitter stage electrically connected to an output of the converter stage, the splitter stage configured to change between a first current state and a second current state based at least in part on the SFQ bit value, and an oscillator stage magnetically coupled to an output of the splitter stage and electrically coupled to the oscillator output. The oscillator stage comprising a direct current superconducting quantum interference device (DC SQUID).

A circuit configured to transmit frequency multiplexed signals from a superconducting domain to a higher temperature domain. The circuit comprising a multiplexed signal output and a plurality of superconducting oscillator circuits each configured to output a different carrier frequency, each superconducting oscillator circuit comprising an oscillator output connected to the multiplexed signal output. Each superconducting oscillator circuit comprising a converter stage configured to convert an input of a superconducting logic signal to a Single Flux Quantum (SFQ) bit value, a splitter stage electrically connected to an output of the converter stage, the splitter stage configured to change between a first current state and a second current state based at least in part on the SFQ bit value, and an oscillator stage magnetically coupled to an output of the splitter stage and electrically coupled to the oscillator output. The oscillator stage comprising a direct current superconducting quantum interference device (DC SQUID).

A quantum write controller includes an in-phase path that includes a first digital to analog converter (DAC) configured to receive an in-phase signal at a first frequency, a first mixer configured to create a third in phase frequency, a first combiner configured to combine an output of the first mixer with an output of a third mixer, and a second mixer configured to mix an output of the first combiner with a fourth in phase frequency. There is a quadrature path that includes a second DAC configured to receive a quadrature phase signal at the first frequency, a third mixer configured to create a third quadrature frequency, a second combiner configured to combine the output of the third mixer with the output of the first mixer, and a fourth mixer configured to mix an output of the second combiner with a fourth quadrature frequency.

A quantum write controller includes an in-phase path that includes a first digital to analog converter (DAC) configured to receive an in-phase signal at a first frequency, a first mixer configured to create a third in phase frequency, a first combiner configured to combine an output of the first mixer with an output of a third mixer, and a second mixer configured to mix an output of the first combiner with a fourth in phase frequency. There is a quadrature path that includes a second DAC configured to receive a quadrature phase signal at the first frequency, a third mixer configured to create a third quadrature frequency, a second combiner configured to combine the output of the third mixer with the output of the first mixer, and a fourth mixer configured to mix an output of the second combiner with a fourth quadrature frequency.

A quantum computer includes: a setting unit configured to set a parameter group of n layers based on each coefficient in a linear sum of unitary operators whose number is 2 to the n-th power, wherein the parameter group of k-th (2≤k≤n) layer is recursively set based on the parameter group of (k−1)-th layer; a quantum gate having n+m qubits including n auxiliary qubits and m target qubits, and configured to execute a predetermined calculation on an input value input to each qubit based the parameter group of n layers; and a specification unit configured to specify the linear sum of the unitary operators based on a calculation result of the quantum gate.

A quantum computer includes: a setting unit configured to set a parameter group of n layers based on each coefficient in a linear sum of unitary operators whose number is 2 to the n-th power, wherein the parameter group of k-th (2≤k≤n) layer is recursively set based on the parameter group of (k−1)-th layer; a quantum gate having n+m qubits including n auxiliary qubits and m target qubits, and configured to execute a predetermined calculation on an input value input to each qubit based the parameter group of n layers; and a specification unit configured to specify the linear sum of the unitary operators based on a calculation result of the quantum gate.