HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2306.13126
In order to characterize and benchmark computational hardware, software, and algorithms, it is essential to have many problem instances on-hand. This is no less true for quantum computation, where a large collection of real-world problem instances would allow for benchmarking studies that in turn help to improve both algorithms and hardware designs. To this end, here we present a large dataset of qubit-based quantum Hamiltonians. The dataset, called HamLib (for Hamiltonian Library), is freely available online and contains problem sizes ranging from 2 to 1000 qubits. HamLib includes problem instances of the Heisenberg model, Fermi-Hubbard model, Bose-Hubbard model, molecular electronic structure, molecular vibrational structure, MaxCut, Max-$k$-SAT, Max-$k$-Cut, QMaxCut, and the traveling salesperson problem. The goals of this effort are (a) to save researchers time by eliminating the need to prepare problem instances and map them to qubit representations, (b) to allow for more thorough tests of new algorithms and hardware, and (c) to allow for reproducibility and standardization across research studies.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2306.13126
- https://arxiv.org/pdf/2306.13126
- OA Status
- green
- Cited By
- 3
- References
- 180
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4382139421
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4382139421Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2306.13126Digital Object Identifier
- Title
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HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardwareWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-22Full publication date if available
- Authors
-
Nicolas P. D. Sawaya, Daniel Marti-Dafcik, Yang Ho, Daniel P. Tabor, David E. Bernal, Alicia Magann, Shavindra Premaratne, Pradeep Dubey, A. Y. Matsuura, N. C. Bishop, Wibe A. de Jong, Simon C. Benjamin, Ojas Parekh, Norm M. Tubman, Katherine Klymko, Daan CampsList of authors in order
- Landing page
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https://arxiv.org/abs/2306.13126Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2306.13126Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2306.13126Direct OA link when available
- Concepts
-
Benchmarking, Qubit, Benchmark (surveying), Computer science, Hamiltonian (control theory), Quantum computer, Algorithm, Quantum, Quantum algorithm, Software, Mathematics, Physics, Quantum mechanics, Mathematical optimization, Marketing, Geography, Programming language, Business, GeodesyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
180Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.both | 47 |
| abstract_inverted_index.end, | 54 |
| abstract_inverted_index.from | 81 |
| abstract_inverted_index.have | 15 |
| abstract_inverted_index.help | 44 |
| abstract_inverted_index.here | 55 |
| abstract_inverted_index.less | 23 |
| abstract_inverted_index.many | 16 |
| abstract_inverted_index.more | 142 |
| abstract_inverted_index.need | 127 |
| abstract_inverted_index.save | 121 |
| abstract_inverted_index.that | 41 |
| abstract_inverted_index.them | 134 |
| abstract_inverted_index.this | 53, 116 |
| abstract_inverted_index.time | 123 |
| abstract_inverted_index.true | 24 |
| abstract_inverted_index.turn | 43 |
| abstract_inverted_index.allow | 37, 140, 153 |
| abstract_inverted_index.goals | 114 |
| abstract_inverted_index.large | 30, 59 |
| abstract_inverted_index.order | 1 |
| abstract_inverted_index.qubit | 136 |
| abstract_inverted_index.sizes | 79 |
| abstract_inverted_index.tests | 144 |
| abstract_inverted_index.where | 28 |
| abstract_inverted_index.would | 36 |
| abstract_inverted_index.HamLib | 68, 86 |
| abstract_inverted_index.across | 158 |
| abstract_inverted_index.called | 67 |
| abstract_inverted_index.effort | 117 |
| abstract_inverted_index.freely | 73 |
| abstract_inverted_index.model, | 93, 95, 97 |
| abstract_inverted_index.online | 75 |
| abstract_inverted_index.MaxCut, | 104 |
| abstract_inverted_index.dataset | 60 |
| abstract_inverted_index.improve | 46 |
| abstract_inverted_index.prepare | 129 |
| abstract_inverted_index.present | 57 |
| abstract_inverted_index.problem | 17, 34, 78, 88, 130 |
| abstract_inverted_index.quantum | 26, 63 |
| abstract_inverted_index.qubits. | 85 |
| abstract_inverted_index.ranging | 80 |
| abstract_inverted_index.studies | 40 |
| abstract_inverted_index.QMaxCut, | 107 |
| abstract_inverted_index.contains | 77 |
| abstract_inverted_index.dataset, | 66 |
| abstract_inverted_index.designs. | 51 |
| abstract_inverted_index.hardware | 50 |
| abstract_inverted_index.includes | 87 |
| abstract_inverted_index.on-hand. | 19 |
| abstract_inverted_index.problem. | 112 |
| abstract_inverted_index.research | 159 |
| abstract_inverted_index.studies. | 160 |
| abstract_inverted_index.thorough | 143 |
| abstract_inverted_index.Library), | 71 |
| abstract_inverted_index.available | 74 |
| abstract_inverted_index.benchmark | 5 |
| abstract_inverted_index.essential | 13 |
| abstract_inverted_index.hardware, | 7, 149 |
| abstract_inverted_index.instances | 18, 35, 89, 131 |
| abstract_inverted_index.molecular | 98, 101 |
| abstract_inverted_index.software, | 8 |
| abstract_inverted_index.traveling | 110 |
| abstract_inverted_index.Heisenberg | 92 |
| abstract_inverted_index.algorithms | 48, 147 |
| abstract_inverted_index.collection | 31 |
| abstract_inverted_index.electronic | 99 |
| abstract_inverted_index.real-world | 33 |
| abstract_inverted_index.structure, | 100, 103 |
| abstract_inverted_index.Hamiltonian | 70 |
| abstract_inverted_index.algorithms, | 10 |
| abstract_inverted_index.eliminating | 125 |
| abstract_inverted_index.qubit-based | 62 |
| abstract_inverted_index.researchers | 122 |
| abstract_inverted_index.salesperson | 111 |
| abstract_inverted_index.vibrational | 102 |
| abstract_inverted_index.Bose-Hubbard | 96 |
| abstract_inverted_index.Max-$k$-Cut, | 106 |
| abstract_inverted_index.Max-$k$-SAT, | 105 |
| abstract_inverted_index.benchmarking | 39 |
| abstract_inverted_index.characterize | 3 |
| abstract_inverted_index.computation, | 27 |
| abstract_inverted_index.Fermi-Hubbard | 94 |
| abstract_inverted_index.Hamiltonians. | 64 |
| abstract_inverted_index.computational | 6 |
| abstract_inverted_index.reproducibility | 155 |
| abstract_inverted_index.standardization | 157 |
| abstract_inverted_index.representations, | 137 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 16 |
| citation_normalized_percentile.value | 0.72889189 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |