A genetic algorithm for quantum circuit generation in OpenQASM
TJ Ong, CC Tan - Intelligent Systems and Applications: Proceedings of …, 2022 - Springer
TJ Ong, CC Tan
Intelligent Systems and Applications: Proceedings of the 2021 Intelligent …, 2022•SpringerIn this paper, we present the results of our research in quantum circuit program generation
using genetic algorithm for the Open Quantum Assembly Language (OpenQASM). The
generated circuit program from our genetic algorithm is formulated based on the set of
quantum gates documented on the official IBM Quantum Experience OpenQASM site to
make them 100% compatible with Qiskit 0.23. 1 (December 2020), so this makes the
generated programs to be usable for any future quantum hardware that follows the circuit …
using genetic algorithm for the Open Quantum Assembly Language (OpenQASM). The
generated circuit program from our genetic algorithm is formulated based on the set of
quantum gates documented on the official IBM Quantum Experience OpenQASM site to
make them 100% compatible with Qiskit 0.23. 1 (December 2020), so this makes the
generated programs to be usable for any future quantum hardware that follows the circuit …
Abstract
In this paper, we present the results of our research in quantum circuit program generation using genetic algorithm for the Open Quantum Assembly Language (OpenQASM). The generated circuit program from our genetic algorithm is formulated based on the set of quantum gates documented on the official IBM Quantum Experience OpenQASM site to make them 100% compatible with Qiskit 0.23.1 (December 2020), so this makes the generated programs to be usable for any future quantum hardware that follows the circuit model for universal quantum computation, which Qiskit is based upon. The genetic algorithm is programmed to interact directly with Qiskit Aer to perform fitness evaluation of the population so that the resultant programs are always error free and readily available to be deployed in various applications in the future.
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