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Trotter Simulation of Vibrational Hamiltonians on a Quantum Computer
Shreyas Malpathak1,2, Sangeeth Das Kallullathil1,2, Ignacio Loaiza3
1Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario M1C 1A4, Canada.
Quantum computing offers a faster way to simulate molecular vibrations, crucial for chemical detection. This study introduces an optimized quantum framework achieving an order-of-magnitude speedup for simulating molecular dynamics.
Area of Science:
- Quantum Computing
- Computational Chemistry
- Molecular Dynamics
Background:
- Simulating molecular vibrations is key for understanding molecular structure and applications like vibrational spectroscopy.
- Quantum algorithms show promise for vibrational dynamics but are less developed than electronic structure simulations.
- Classical simulations of molecular vibrations are computationally intensive.
Purpose of the Study:
- To develop and compare efficient quantum algorithms for simulating molecular vibrational dynamics.
- To introduce optimized fragmentation schemes and error estimation for quantum vibrational simulations.
- To demonstrate the feasibility of simulating vibrational spectra using quantum computers.
Main Methods:
- Detailed description of three forms of the vibrational Hamiltonian: canonical bosonic quantization, real space, and Christiansen second-quantized.
- Development of fragmentation schemes leveraging Lie algebraic properties for Trotter product formulas.
- Perturbative approach for Trotter error estimation to calculate T gate costs.
Main Results:
- An optimized quantum framework for simulating vibrational dynamics is presented.
- For methane (CH4) with 9 modes, 1.8 ps of dynamics can be simulated with 36 qubits and ~3x10^8 T gates.
- This represents an order-of-magnitude speedup over current state-of-the-art quantum algorithms.
Conclusions:
- The developed framework offers a unified and highly optimized approach for quantum simulations of vibrational dynamics.
- Simulating vibrational spectra demonstrates the fidelity of the proposed quantum algorithms.
- Quantum computing is positioned as an attractive platform for molecular vibrational dynamics simulations.
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