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Quantum Chemistry
Efficient variational quantum eigensolver methodologies on quantum processors
arXiv
Authors: Tushar Pandey, Jason Saroni, Abdullah Kazi, Kartik Sharma
Year
2024
Paper ID
65085
Status
Preprint
Abstract Read
~2 min
Abstract Words
83
Citations
N/A
Abstract
We compare the performance of different methodologies for finding the ground state of the molecule BeH2. We implement adaptive, tetris-adaptive variational quantum eigensolver (VQE), and entanglement forging to reduce computational resource requirements. We run VQE experiments on IBM quantum processing units and use error mitigation, including twirled readout error extinction (TREX) and zero-noise extrapolation (ZNE) to reduce noise. Our results affirm the usefulness of VQE on noisy quantum hardware and pave the way for the usage of VQE related methods for large molecules.
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- This paper contributes to the Quantum Chemistry research area in the Quantum Articles archive.
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- We compare the performance of different methodologies for finding the ground state of the molecule BeH2.
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