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Quantum control waveform optimization method and device, computer equipment and storage medium

A technology for controlling waveforms and optimization methods, applied in computer equipment and storage media, optimization methods for quantum control waveforms, and devices, and can solve problems such as too many adjustment parameters, poor waveform smoothness, and uncontrollable frequency domain.

Active Publication Date: 2021-04-16
SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a quantum control waveform optimization method, device, computer equipment and storage medium to solve the uncontrollable frequency domain and poor waveform smoothness of the traditional method And problems such as too many adjustment parameters

Method used

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  • Quantum control waveform optimization method and device, computer equipment and storage medium
  • Quantum control waveform optimization method and device, computer equipment and storage medium
  • Quantum control waveform optimization method and device, computer equipment and storage medium

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Embodiment 1

[0032] figure 1 It is a flow chart of the method for optimizing the quantum control waveform provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of generating a waveform for qubit control, the method can be performed by the quantum control waveform optimization device provided by the embodiment of the present invention, and the device can be implemented by hardware and / or software, Generally can be integrated in computer equipment. Such as figure 1 As shown, it specifically includes the following steps:

[0033] S11. Perform Fourier transform on the preset starting waveform of the quantum logic gate to obtain frequency domain data of the preset starting waveform.

[0034] Specifically, based on the theoretical derivation of quantum computing, constraints for realizing quantum logic gates can be obtained, and corresponding preset start waveforms can be set according to the constraints, so that the preset start waveforms have high...

Embodiment 2

[0068] figure 2 It is a schematic diagram of the structure of the quantum control waveform optimization device provided by Embodiment 2 of the present invention. The device can be implemented by hardware and / or software, and can generally be integrated into computer equipment. Such as figure 2 As shown, the device includes:

[0069] The frequency domain data acquisition module 21 is used to perform Fourier transform on the preset starting waveform of the quantum logic gate to obtain the frequency domain data of the preset starting waveform;

[0070] A bandwidth limiting module 22, configured to limit the bandwidth of the frequency-domain data according to preset bandwidth limiting conditions, so as to obtain target frequency-domain data;

[0071] The target waveform obtaining module 23 is used to carry out Fourier inverse transform to the target frequency domain data, to obtain the target waveform;

[0072] The loss function calculation module 24 is used to perform quantu...

Embodiment 3

[0090] image 3 The schematic structural diagram of the computer device provided for the third embodiment of the present invention shows a block diagram of an exemplary computer device suitable for implementing the embodiment of the present invention. image 3 The computer equipment shown is only an example, and should not bring any limitation to the functions and scope of use of the embodiments of the present invention. Such as image 3 As shown, the computer equipment includes a processor 31, a memory 32, an input device 33 and an output device 34; the number of processors 31 in the computer equipment can be one or more, image 3 Taking a processor 31 as an example, the processor 31, memory 32, input device 33 and output device 34 in the computer equipment can be connected by bus or other methods, image 3 Take connection via bus as an example.

[0091] The memory 32, as a computer-readable storage medium, can be used to store software programs, computer-executable progra...

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Abstract

The embodiment of the invention discloses a quantum control waveform optimization method and device, computer equipment and a storage medium. The method comprises the steps of performing Fourier transform on a preset initial waveform of a quantum logic gate to obtain frequency domain data of the preset initial waveform; performing bandwidth limitation on the frequency domain data according to a preset bandwidth limitation condition to obtain target frequency domain data; performing inverse Fourier transform on the target frequency domain data to obtain a target waveform; performing quantum dynamics evolution on the target waveform, and calculating a loss function of a quantum logic gate; performing automatic differentiation on the target waveform by using the loss function through a neural network to obtain a gradient of the loss function; judging whether an end condition is met or not according to the loss function and the gradient; if not, updating the preset initial waveform by using a gradient descent method based on the target waveform, and repeating the method; and if so, determining the target waveform as an optimized waveform and outputting the optimized waveform. Therefore, the quantum control waveform which is controllable in frequency domain, smooth and analyzable is obtained.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of quantum control, and in particular to a method, device, computer equipment and storage medium for optimizing a quantum control waveform. Background technique [0002] Physical bits in quantum computers, such as superconducting qubits or quantum dots, etc., need to use arbitrary waveform generators to generate modulated microwave signals to control qubits, thereby realizing various logic gate operations. [0003] For a long time, the optimization of the control waveform has been mainly obtained by the GRAPE algorithm based on gradient descent, including numerical and feedback-based experimental operations. This algorithm needs to be optimized with the discrete time series amplitude of the waveform as a parameter. At present, there are many problems in this algorithm, such as the optimized parameter space is very large, and its dimension is proportional to the length of the wavefor...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06F17/14G06F17/13G06N10/00G06F111/04G06F119/14
Inventor 邓修豪宋垚
Owner SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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