Shortcuts for Adiabatic and Variational Algorithms in Molecular Simulation
Quantum algorithms are prominent in the pursuit of achieving quantum advantage in various computational tasks. However, addressing challenges, such as limited qubit coherence and high error rate in near-term devices, requires extensive efforts. In this paper, we present a substantial stride in quant...
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Language | English |
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30.07.2024
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Abstract | Quantum algorithms are prominent in the pursuit of achieving quantum
advantage in various computational tasks. However, addressing challenges, such
as limited qubit coherence and high error rate in near-term devices, requires
extensive efforts. In this paper, we present a substantial stride in quantum
chemistry by integrating shortcuts-to-adiabaticity techniques into adiabatic
and variational algorithms for calculating the molecular ground state. Our
approach includes the counter-diabatic driving that accelerates adiabatic
evolution by mitigating adiabatic errors. Additionally, we introduce the
counter-diabatic terms as the adiabatic gauge ansatz for the variational
quantum eigensolver, which exhibits favorable convergence properties with a
fewer number of parameters, thereby reducing the circuit depth. Our approach
achieves comparable accuracy to other established ansatzes, while enhancing the
potential for applications in material science, drug discovery, and molecular
simulations. |
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AbstractList | Quantum algorithms are prominent in the pursuit of achieving quantum
advantage in various computational tasks. However, addressing challenges, such
as limited qubit coherence and high error rate in near-term devices, requires
extensive efforts. In this paper, we present a substantial stride in quantum
chemistry by integrating shortcuts-to-adiabaticity techniques into adiabatic
and variational algorithms for calculating the molecular ground state. Our
approach includes the counter-diabatic driving that accelerates adiabatic
evolution by mitigating adiabatic errors. Additionally, we introduce the
counter-diabatic terms as the adiabatic gauge ansatz for the variational
quantum eigensolver, which exhibits favorable convergence properties with a
fewer number of parameters, thereby reducing the circuit depth. Our approach
achieves comparable accuracy to other established ansatzes, while enhancing the
potential for applications in material science, drug discovery, and molecular
simulations. |
Author | Chen, Xi Iriarte-Zendoia, Iñaki Ban, Yue Ferreiro-Vélez, Julián |
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BackLink | https://doi.org/10.48550/arXiv.2407.20957$$DView paper in arXiv |
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Snippet | Quantum algorithms are prominent in the pursuit of achieving quantum
advantage in various computational tasks. However, addressing challenges, such
as limited... |
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SubjectTerms | Physics - Quantum Physics |
Title | Shortcuts for Adiabatic and Variational Algorithms in Molecular Simulation |
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