Talk (non-conference) (Other)

FZJ-2022-01526

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Real-time simulations of the quantum approximate optimisation algorithm with a circuit Hamiltonian model

Lagemann, H. (Corresponding author)FZJ*

2022

Please use a persistent id in citations: http://hdl.handle.net/2128/33372

Abstract: The quantum approximate optimisation algorithm (or QAOA) is a variational algorithm. The algorithm consists of two parts. A quantum step which evaluates a cost function and a classical step which performs the optimisation. The hope is that the classical optimisation step can mitigate errors which appear in state-of-the-art quantum processors.We investigate this idea by simulating the time evolution of superconducting quantum processors with two and three qubits. The model which generates the dynamics of the system is a lumped-element circuit Hamiltonian model. We find that in this model the classical optimisation step can mitigate some of the gate errors which are caused by imperfect two-qubit gates.

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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)
2. OpenSuperQ - An Open Superconducting Quantum Computer (820363) (820363)
3. PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405) (PHD-NO-GRANT-20170405)

Appears in the scientific report 2022

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Database coverage:

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