Quantum state reconstruction method and system based on compressive sensing

A technology of compressed sensing and quantum state, applied in complex mathematical operations and other directions, which can solve problems such as long time consumption and low efficiency

Inactive Publication Date: 2017-06-13
UNIV OF SCI & TECH OF CHINA
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  • Abstract
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  • Application Information

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Problems solved by technology

For the second problem, the prior art discloses a method of using the Alternating Direction Method of Multipliers (ADMM) to solve the quantum state reconstruction problem based on compressive sensing, and obt

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  • Quantum state reconstruction method and system based on compressive sensing
  • Quantum state reconstruction method and system based on compressive sensing
  • Quantum state reconstruction method and system based on compressive sensing

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Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] The embodiment of the present application provides a quantum state reconstruction method based on compressive sensing, such as figure 1 shown, including:

[0040] S101: Obtain the measurement matrix A and the corresponding measurement value b, wherein, M is the number of measurements, d=2 n , n is the number of qubits in the system, represents the complex field, represents the field of real numbers;

[0041] S102: Initialize the density matrix ρ an

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Abstract

The invention discloses a quantum state reconstruction method and system based on compressive sensing. The quantum state reconstruction method based on compressive sensing integrates an ADMM algorithm and an ISTA algorithm, and an auxiliary variable e is introduced in the iterative process so that the quantum state reconstruction problem is solved under an ADMM algorithm framework, and more accurate solution can be rapidly obtained. In addition, a conventional calculation sequence is changed in the mode of adding brackets three times in the density matrix updating process, so that the computational complexity is greatly reduced, and the operation times are greatly decreased, the time required by the quantum state reconstruction process is shortened, and the operating efficiency is improved. Further, a measurement matrix A of M * d2 is directly constructed by adopting the quantum state reconstruction method based on compressive sensing, a more general convex optimization model considering that white gaussian noise is contained in a measured value is adopted, fixed step length for lagrangian multiplier updating is changed into adjustable step length, the convergence speed is improved, and the number of iterations and computation time are decreased.

Description

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Claims

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Application Information

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Owner UNIV OF SCI & TECH OF CHINA
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