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Quantum Computing

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Application US20210049493


Published 2021-02-18

Systems And Methods For Quantum Computing Based Sample Analysis

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.



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2 Independent Claims

  • 1. A quantum computing system comprising: a quantum computing device comprising a plurality of qubits; and a computing device comprising: one or more processing units; and a memory storing computer readable instructions that, when executed by the one or more processing units cause the computing device to: import a first data array and a second data array into a quantum circuit, wherein the quantum circuit comprises: a first set of qubits configured to receive the first data array; a second set of qubits configured to receive the second data array; a third set of qubits configured to store shift values; and a fourth set of qubits where cross-correlation values for the first data array and the second data array are calculated; implement a quantum amplitude estimation between: the first set of qubits, the second set of qubits, and the third set of qubits; and the fourth set of qubits; and export the cross-correlation values from the quantum circuit.

  • 5. A method for determining a cross-correlation of two data arrays using a quantum processing system, the method comprising: importing a first data array and a second data array into a quantum circuit, wherein the quantum circuit comprises: a first set of qubits configured to receive the first data array; a second set of qubits configured to receive the second data array; a third set of qubits configured to store shift values; and a fourth set of qubits where the cross-correlation values for the first data array and the second data array are calculated; implementing a quantum amplitude estimation between: the first set of qubits, the second set of qubits, and the third set of qubits; and the fourth set of qubits; and exporting the cross-correlation values from the quantum circuit.