Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session F25: Cold Chemical Physics: Ultracold/Quantum Frontier
8:00 AM–11:00 AM,
Tuesday, March 5, 2024
Room: 101F
Sponsoring
Unit:
DCP
Chair: Kang Kuen Ni
Abstract: F25.00008 : Recovering Electronic Correlation Energy from Hartree-Fock Circuit Ansatze on a Quantum Computer*
10:36 AM–10:48 AM
Presenter:
Chong Hian Chee
(Centre for Quantum Technologies NUS)
Authors:
Chong Hian Chee
(Centre for Quantum Technologies NUS)
Adrian Mak
(Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR))
Daniel Leykam
(Centre for Quantum Technologies NUS)
Panagiotis K Barkoutsos
(IBM Research Zurich)
Dimitris G Angelakis
(Centre for Quantum Technologies NUS)
Molecular energy estimation is an exciting application of quantum computing for quantum chemistry. However, current noisy intermediate-scale quantum (NISQ) devices can only execute shallow circuits, scaling at most linear in two-qubit gate depth in the number of qubits. This limits access to entangling, but small-sized circuit ansatze that capture important electronic correlations or Hartree-Fock (HF) ansatze which loses all electronic correlations. HF ansatze are one-body product wavefunctions that approximate the solution to the Schrödinger equation for many-body systems, such as molecules and materials.
In this work, we demonstrate a variational perturbation technique to recover the lost electronic correlation ground energy from these HF circuit ansatze using a NISQ-friendly quantum algorithm. We tested our algorithm for several small molecules, on both simulated quantum noise models and on cloud quantum processors, showing that it not only reproduces the equilibrium molecular energies but it also captures the perturbative electronic correlation effects at longer bond distances. As the fidelities of quantum computers continue to improve, our algorithm will enable the study of larger molecules.
*We acknowledge support from the National Research Foundation, Prime Minister’s Office, Singapore under the Quantum Engineering Programme (NRF2021QEP2-02-P02), the Agency for Science, Technology and Research (#21709) and by the European Union’s Horizon Programme (HORIZON-CL4-2021-DIGITALEMERGING-02-10), Grant Agreement 101080085, QCFD. We thank IBM and AWS for cloud quantum computer access.
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