Mapping quantum chemical dynamics problems onto spin-lattice simulators
Debadrita Saha, Srinivasan S. Iyengar, Philip Richerme and, Jeremy M. Smith, Amr Sabry

TL;DR
This paper introduces a novel framework for simulating quantum chemical nuclear dynamics by mapping them onto quantum spin-lattice models, enabling the use of quantum hardware for complex molecular simulations.
Contribution
It presents a method to transform nuclear Hamiltonians into generalized Ising models, facilitating quantum simulation of nuclear dynamics beyond electron correlation.
Findings
Mapped nuclear Hamiltonian to Ising model for hydrogen-bonded systems
Demonstrated parameter determination from potential and kinetic energy data
Proposed a paradigm shift in quantum nuclear dynamics simulation
Abstract
The accurate computational determination of chemical, materials, biological, and atmospheric properties has critical impact on a wide range of health and environmental problems, but is deeply limited by the computational scaling of quantum-mechanical methods. The complexity of quantum-chemical studies arises from the steep algebraic scaling of electron correlation methods, and the exponential scaling in studying nuclear dynamics and molecular flexibility. To date, efforts to apply quantum hardware to such quantum chemistry problems have focused primarily on electron correlation. Here, we provide a framework which allows for the solution of quantum chemical nuclear dynamics by mapping these to quantum spin-lattice simulators. Using the example case of a short-strong hydrogen bonded system, we construct the Hamiltonian for the nuclear degrees of freedom on a single Born-Oppenheimer…
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Taxonomy
TopicsQuantum and electron transport phenomena · Quantum Computing Algorithms and Architecture · Cold Atom Physics and Bose-Einstein Condensates
