Simulating methylamine using symmetry adapted qubit-excitation-based variational quantum eigensolver

• URL: http://arxiv.org/abs/2501.17035v2
• Date: Thu, 30 Jan 2025 18:15:45 GMT
• Title: Simulating methylamine using symmetry adapted qubit-excitation-based variational quantum eigensolver
• Authors: Konstantin M. Makushin, Aleksey K. Fedorov,
• Abstract summary: We analyze the resources that are needed to simulate certain molecules on a medium-scale quantum computer. We propose and analyze optimization techniques based on molecular point group symmetries and compact excitation circuits.
• Score: 0.39462888523270856
• License:
• Abstract: In this work, we analyze the resources that are needed to simulate certain molecules on a medium-scale quantum computer with the use of the variational quantum eigensolver (VQE) approach. As the conventional realization of the VQE approach significant amount of resources for simulation, we propose and analyze optimization techniques based on molecular point group symmetries (symmetry adaption) and compact excitation circuits (qubit-excitation-based). These optimizations allows significant reduction of the essential computational capabilities yet ensuring the convergence to the required energies. We first apply this approach for small molecules, such as LiH and BeH$_2$, to evaluate their compatibility, accuracy, and potential applicability to larger problems. Then we demonstrate that instead of 600,000 two-qubit operations (in the STO-3G basis using a naive version of the Unitary Coupled Cluster ansatz), we are able to simulate methylamine molecules with 26 qubits and about 12,000 of two-qubit gates using our method. We accomplish our analysis by estimating required resources for a formic acid molecule, whose simulation requires about 15,000 of two-qubit gates. Thus, the proposed combination of certain optimization methods can reduce the number of two-qubit operations by several orders of magnitude.Although, we present alternative approaches that are of interest in the context of the further optimization in the number of two-qubit operation, we note that these approaches do not perform well enough in terms of the convergence to required energies. While these challenges persist, our resource analysis represents a valuable step towards the practical use of quantum computers and the development of better methods for optimizing computing resources.

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