Comparison of Superconducting NISQ Architectures

Advances in quantum hardware have begun the noisy intermediate-scale quantum (NISQ) computing era. A pressing question is: what architectures are best suited to take advantage of this new regime of quantum machines? We study various superconducting architectures including Google's Sycamore, IBM's Heavy-Hex, Rigetti's Aspen and Ankaa in addition to a proposed architecture we call bus next-nearest neighbor (busNNN). We evaluate these architectures using benchmarks based on the quantum approximate optimization algorithm (QAOA) which can solve certain quadratic unconstrained binary optimization (QUBO) problems. We also study compilation tools that target these architectures, which use either general heuristic or deterministic methods to map circuits onto a target topology defined by an architecture.

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Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1109/qce60285.2024.00074
Citations
4
Primary Topic
Superconducting Materials and Applications
Type
article
Field-Weighted Citation Impact
0.74
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article

Comparison of Superconducting NISQ Architectures

Kevin Obenland, Benjamin Rempfer
4 citations
Superconducting Materials and Applications
0.74
article

Comparison of Superconducting NISQ Architectures

Kevin Obenland, Benjamin Rempfer
article en
4 citations

Abstract

Advances in quantum hardware have begun the noisy intermediate-scale quantum (NISQ) computing era. A pressing question is: what architectures are best suited to take advantage of this new regime of quantum machines? We study various superconducting architectures including Google's Sycamore, IBM's Heavy-Hex, Rigetti's Aspen and Ankaa in addition to a proposed architecture we call bus next-nearest neighbor (busNNN). We evaluate these architectures using benchmarks based on the quantum approximate optimization algorithm (QAOA) which can solve certain quadratic unconstrained binary optimization (QUBO) problems. We also study compilation tools that target these architectures, which use either general heuristic or deterministic methods to map circuits onto a target topology defined by an architecture.

MIT Lincoln Laboratory (US), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 31%
Superconducting Materials and Applications
0.74
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