Control pulse calculation method and device thereof

Abstract

In the existing calculation of non-adiabatic harmonious quantum, generally, for a specific type of quantum system, an analytical form for controlling the Hamiltonian amount and the intensity of a control pulse are found out by a manual analysis and guessing method, which can cause that non-adiabatic harmonious quantum calculation does not have good transportability and cannot be combined with an optimization method to reduce errors. In order to solve the above problems, the invention provides a method for calculating non-adiabatic harmonious control pulse parameters in any quantum system, non-adiabatic harmonious conditions are combined with a quantum optimization method, and an optimal control pulse for the quantum system is selected in combination with gradient optimization and loop iteration methods, so that the quantum system has good portability in practice, and the robustness for quasi-static noise and system errors can be improved in combination with the optimization method.

Description

technical field [0001] The present application relates to the technical field of quantum computing, in particular to a computing method for controlling pulses. Background technique [0002] Quantum computing is a concept proposed in the 1980s. For traditional computers, the input state and output state are both traditional signals, for example, the binary value is represented by the level of the electric potential. For a quantum computer, the input state and output state can be regarded as the eigenstates of a certain mechanical quantity. If the binary number 0(1) is input, it is represented by quantum notation, namely |0>(|1>). Quantum computers can enter superposition states, such as a|0>+b|1>, which cannot be achieved by classical computers. [0003] Specifically, quantum computers have improved the limitations of traditional computers that cannot prepare, operate, and measure quantum superposition states. The input of quantum computers is described by a qu...

AI Technical Summary

Problems solved by technology

This leads to the special application scenarios of the technical solution, which does not have good portability, and because the technical solution has strict regulations on the expression of the Hamiltonian, it does not have the degree of freedom that can be optimized, and it is difficult to combine with the optimization control method for further improvement. Optimized to eliminate other low frequency errors such as systematic errors, quasi-excellent noise, etc.

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