Towards the simulation of transition-metal oxides of the cathode battery materials using VQE methods
Marwa H. Farag, Joydip Ghosh

TL;DR
This paper explores the application of variational quantum eigensolver (VQE) methods to simulate the ground-state energy of transition-metal oxides used in battery cathodes, demonstrating promising results and analyzing resource requirements.
Contribution
It introduces VQE-based simulations for LiCoO₂ and related models, comparing different trial wavefunctions and benchmarking against classical methods, highlighting the potential and challenges of quantum approaches.
Findings
k-UpCCGSD with k=5 matches UCCSD results at lower cost
VQE results agree with classical CCSD calculations
Advanced wavefunctions may be needed for multi-reference systems
Abstract
Variational quantum eigensolver (VQE) is a hybrid quantum-classical technique that leverages noisy intermediate scale quantum (NISQ) hardware to obtain the minimum eigenvalue of a model Hamiltonian. VQE has so far been used to simulate condensed matter systems as well as quantum chemistry of small molecules. In this work, we employ VQE methods to obtain the ground-state energy of LiCoO, a candidate transition metal oxide used for battery cathodes. We simulate LiCoO and CoO gas-phase models, which represent the lithiated and delithiated states during the discharge and the charge of the Li-ion battery, respectively. Computations are performed using a statevector simulator with a single reference state for three different trial wavefunctions: unitary coupled-cluster singles and doubles (UCCSD), unitary coupled-cluster generalized singles and doubles (UCCGSD) and…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum and electron transport phenomena · Quantum Information and Cryptography
