An EQ-GAN architecture with random input states learns quantum circuit behavior and is used for equivalence checking and variational circuit optimization.
Evolving Quantum Oracles with Hybrid Quantum-inspired Evolutionary Algorithm
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abstract
Quantum oracles play key roles in the studies of quantum computation and quantum information. But implementing quantum oracles efficiently with universal quantum gates is a hard work. Motivated by genetic programming, this paper proposes a novel approach to evolve quantum oracles with a hybrid quantum-inspired evolutionary algorithm. The approach codes quantum circuits with numerical values and combines the cost and correctness of quantum circuits into the fitness function. To speed up the calculation of matrix multiplication in the evaluation of individuals, a fast algorithm of matrix multiplication with Kronecker product is also presented. The experiments show the validity and the effects of some parameters of the presented approach. And some characteristics of the novel approach are discussed too.
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quant-ph 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
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RH: An Architecture for Redesigning Quantum Circuits on Quantum Hardware Devices
An EQ-GAN architecture with random input states learns quantum circuit behavior and is used for equivalence checking and variational circuit optimization.