Christopher K. Long, Kieran Dalton, David R. M. Arvidsson-Shukur, and Normann Mertig
Date & time: 9 March 2023 13:30–13:42 PST
Location: Las Vegas, Nevada, United States of America
Conference: 2023 APS March Meeting [1]
I presented work from Layering and subpool exploration for adaptive variational quantum eigensolvers: Reducing circuit depth, runtime, and susceptibility to noise [2].
Download slide deck: PPTX1, PDF1
Abstract
From Ref. [3]:
Adaptive variational quantum eigensolvers (VQEs) are a class of quantum algorithms, suitable for finding the ground state of molecular Hamiltonians. Current VQE algorithms are not noise robust enough for implementations on noisy intermediate-scale quantum (NISQ) hardware. Here, we present the Iteratively Layered VQE (IL-VQE) Algorithm. Using non-commutation relations, our algorithm compresses the sparsely and iteratively appended gates in the quantum circuits of adaptive VQEs into packed layers. We numerically demonstrate that IL-VQE constructs shallower, more noise-tolerant circuits than previous methods. We further show that IL-VQE reduces the calls to the NISQ hardware. Ultimately, this work brings the experimental realisation of useful VQE algorithms one step closer.
References
Footnotes
-
Licence of this file: CC BY 4.0 and Third-party all rights reserved; see its entry on the licences page for what each licence covers and the copyright holders. ↩ ↩2