Conference Presentation (Invited)

FZJ-2021-03847

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A study of QAOA using the Jülich Universal Quantum Computer Simulator

Willsch, M. (Corresponding author)FZJ*

2021

Please use a persistent id in citations: http://hdl.handle.net/2128/28796

Abstract: We study the quantum approximate optimization algorithm (QAOA) by simulating QAOA circuits using the Jülich Universal Quantum Computer Simulator (JUQCS). JUQCS is a massively parallel, GPU-accelerated quantum state-vector simulator which allows us to obtain, for a given QAOA circuit, the exact energy expectation value and success probability. We discuss the relation between QAOA and quantum annealing.In particular, we investigate how a coarsely discretized quantum annealing schedule can be used to obtain reasonable initializations for QAOA, and in which cases we may circumvent the costly optimization procedure.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)

Appears in the scientific report 2021

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Database coverage:

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