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September 24, 20254 citationsOpen Access

Trotter simulation of vibrational Hamiltonians on a quantum computer

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SMShreyas MalpathakSKSangeeth Das KallullathilILIgnacio Loaiza

Key Points

  • Simulating time evolution of vibrational dynamics can be achieved with enhanced efficiency using quantum algorithms.
  • For the CH4 molecule, simulation of 1.8 ps time evolution uses only 36 qubits and about 300 million T gates.
  • The study explores three forms of the vibrational Hamiltonian, applying different fragmentation schemes for optimization.
  • A perturbative approach provides tight estimates for T gate costs, contributing to significant speed improvements over classical methods.

Abstract

Simulating vibrational dynamics is essential for understanding molecular structure, unlocking useful applications such as vibrational spectroscopy for high-fidelity chemical detection. Quantum algorithms for vibrational dynamics are emerging as a promising alternative to resource-demanding classical approaches, but this domain is largely underdeveloped compared to quantum simulations of electronic structure. In this work, we describe in detail three distinct forms of the vibrational Hamiltonian: canonical bosonic quantization, real space representation, and the Christiansen second-quantized form. Leveraging Lie algebraic properties of each, we develop efficient fragmentation schemes to enable the use of Trotter product formulas for simulating time evolution. We introduce circuits required to implement time evolution in each form, and highlight factors that contribute to the simulation cost, including the choice of vibrational coordinates. Using a perturbative approach for the Trotter error, we obtain tight estimates of T gate cost for the simulation of time evolution in each form, enabling their quantitative comparison. Combining tight Trotter error estimates and efficient fragmentation schemes, we find that for the medium-sized CH₄ molecule with 9 vibrational modes, time evolution for approximately 1. 8 ps may be simulated using as little as 36 qubits and approximately 3 10^8 T gates -- an order-of-magnitude speedup over prior-art algorithms. Finally, we present calculations of vibrational spectra using each form to demonstrate the fidelity of our algorithms. This work presents a unified and highly optimized framework that makes simulating vibrational dynamics an attractive use case for quantum computers.

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Cite This Study

Malpathak et al. (2025) studied this question.

synapsesocial.com/papers/68d6e1978b2b6861e4c40307https://doi.org/10.48550/arxiv.2508.11865
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