Reducing unitary coupled cluster circuit depth by classical stochastic amplitude prescreening
View / Open Files
Publication Date
2022Journal Title
Physical Review Research
ISSN
2643-1564
Publisher
American Physical Society (APS)
Volume
4
Issue
2
Number
023243
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Filip, M., Fitzpatrick, N., Muñoz Ramo, D., & Thom, A. (2022). Reducing unitary coupled cluster circuit depth by classical stochastic amplitude prescreening. Physical Review Research, 4 (2. 023243) https://doi.org/10.1103/PhysRevResearch.4.023243
Abstract
Unitary Coupled Cluster (UCC) approaches are an appealing route to utilising
quantum hardware to perform quantum chemistry calculations, as quantum
computers can in principle perform UCC calculations in a polynomially scaling
fashion, as compared to the exponential scaling required on classical
computers. Current noisy intermediate scale quantum (NISQ) computers are
limited by both hardware capacity in number of logical qubits and the noise
introduced by the deep circuits required for UCC calculations using the
Variational Quantum Eigensolver (VQE) approach. We present a combined
classical--quantum approach where a stochastic classical UCC pre-processing
step is used to determine the important excitations in the UCC ansatz. The
reduced number of selected excitations are then used in a UCC-based VQE
calculation. This approach gives a systematically improvable approximation, and
we show that significant reductions in quantum resources can be achieved, with
simulations on the CH$_2$, N$_2$ and N$_2$H$_2$ molecules giving
sub-milliHartree errors.
Keywords
quant-ph, quant-ph, physics.chem-ph
Relationships
Is supplemented by: https://doi.org/10.17863/CAM.86061
Sponsorship
Royal Society (RGF/EA/180055)
Identifiers
External DOI: https://doi.org/10.1103/PhysRevResearch.4.023243
This record's URL: https://www.repository.cam.ac.uk/handle/1810/338827
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk