Adaptive variational quantum dynamics simulations with compressed circuits and fewer measurements Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2408.06590
The adaptive variational quantum dynamics simulation (AVQDS) method performs real-time evolution of quantum states using automatically generated parameterized quantum circuits that often contain substantially fewer gates than Trotter circuits. Here we report an improved version of the method, which we call AVQDS(T), by porting the Tiling Efficient Trial Circuits with Rotations Implemented Simultaneously (TETRIS) technique. The algorithm adaptively adds layers of disjoint unitary gates to the ansatz circuit so as to keep the McLachlan distance, a measure of the accuracy of the variational dynamics, below a fixed threshold. We perform benchmark noiseless AVQDS(T) simulations of quench dynamics in local spin models demonstrating that the TETRIS technique significantly reduces the circuit depth and two-qubit gate count. We also show a method based on eigenvalue truncation to solve the linear equations of motion for the variational parameters with enhanced noise resilience. Finally, we propose a way to substantially alleviate the measurement overhead of AVQDS(T) while maintaining high accuracy by synergistically integrating quantum circuit calculations on quantum processing units with classical calculations using, e.g., tensor networks to evaluate the quantum geometric tensor. We showcase that this approach enables AVQDS(T) to deliver more accurate results than simulations using a fixed ansatz of comparable final depth for a significant time duration with fewer quantum resources.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2408.06590
- https://arxiv.org/pdf/2408.06590
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402426997
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4402426997Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2408.06590Digital Object Identifier
- Title
-
Adaptive variational quantum dynamics simulations with compressed circuits and fewer measurementsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-08-13Full publication date if available
- Authors
-
Feng Zhang, Cai‐Zhuang Wang, Thomas Iadecola, Peter P. Orth, Yong‐Xin YaoList of authors in order
- Landing page
-
https://arxiv.org/abs/2408.06590Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2408.06590Direct 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/2408.06590Direct OA link when available
- Concepts
-
Electronic circuit, Quantum, Dynamics (music), Statistical physics, Computer science, Physics, Quantum mechanics, AcousticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4402426997 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.2408.06590 |
| ids.doi | https://doi.org/10.48550/arxiv.2408.06590 |
| ids.openalex | https://openalex.org/W4402426997 |
| fwci | |
| type | preprint |
| title | Adaptive variational quantum dynamics simulations with compressed circuits and fewer measurements |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10682 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.982699990272522 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Quantum Computing Algorithms and Architecture |
| topics[1].id | https://openalex.org/T10020 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9728999733924866 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Quantum Information and Cryptography |
| topics[2].id | https://openalex.org/T10622 |
| topics[2].field.id | https://openalex.org/fields/31 |
| topics[2].field.display_name | Physics and Astronomy |
| topics[2].score | 0.9264000058174133 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/3107 |
| topics[2].subfield.display_name | Atomic and Molecular Physics, and Optics |
| topics[2].display_name | Quantum Mechanics and Applications |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C134146338 |
| concepts[0].level | 2 |
| concepts[0].score | 0.5831460952758789 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1815901 |
| concepts[0].display_name | Electronic circuit |
| concepts[1].id | https://openalex.org/C84114770 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5809808969497681 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q46344 |
| concepts[1].display_name | Quantum |
| concepts[2].id | https://openalex.org/C145912823 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5777508616447449 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q113558 |
| concepts[2].display_name | Dynamics (music) |
| concepts[3].id | https://openalex.org/C121864883 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5571134090423584 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q677916 |
| concepts[3].display_name | Statistical physics |
| concepts[4].id | https://openalex.org/C41008148 |
| concepts[4].level | 0 |
| concepts[4].score | 0.45802175998687744 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[4].display_name | Computer science |
| concepts[5].id | https://openalex.org/C121332964 |
| concepts[5].level | 0 |
| concepts[5].score | 0.3418118357658386 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[5].display_name | Physics |
| concepts[6].id | https://openalex.org/C62520636 |
| concepts[6].level | 1 |
| concepts[6].score | 0.24520856142044067 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[6].display_name | Quantum mechanics |
| concepts[7].id | https://openalex.org/C24890656 |
| concepts[7].level | 1 |
| concepts[7].score | 0.0 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q82811 |
| concepts[7].display_name | Acoustics |
| keywords[0].id | https://openalex.org/keywords/electronic-circuit |
| keywords[0].score | 0.5831460952758789 |
| keywords[0].display_name | Electronic circuit |
| keywords[1].id | https://openalex.org/keywords/quantum |
| keywords[1].score | 0.5809808969497681 |
| keywords[1].display_name | Quantum |
| keywords[2].id | https://openalex.org/keywords/dynamics |
| keywords[2].score | 0.5777508616447449 |
| keywords[2].display_name | Dynamics (music) |
| keywords[3].id | https://openalex.org/keywords/statistical-physics |
| keywords[3].score | 0.5571134090423584 |
| keywords[3].display_name | Statistical physics |
| keywords[4].id | https://openalex.org/keywords/computer-science |
| keywords[4].score | 0.45802175998687744 |
| keywords[4].display_name | Computer science |
| keywords[5].id | https://openalex.org/keywords/physics |
| keywords[5].score | 0.3418118357658386 |
| keywords[5].display_name | Physics |
| keywords[6].id | https://openalex.org/keywords/quantum-mechanics |
| keywords[6].score | 0.24520856142044067 |
| keywords[6].display_name | Quantum mechanics |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:2408.06590 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://arxiv.org/pdf/2408.06590 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | text |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/2408.06590 |
| locations[1].id | doi:10.48550/arxiv.2408.06590 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.2408.06590 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5100401201 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-6597-1199 |
| authorships[0].author.display_name | Feng Zhang |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Zhang, Feng |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5081762465 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-0269-4785 |
| authorships[1].author.display_name | Cai‐Zhuang Wang |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Wang, Cai-Zhuang |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5075163502 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-5145-6441 |
| authorships[2].author.display_name | Thomas Iadecola |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Iadecola, Thomas |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5077374865 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-2183-8120 |
| authorships[3].author.display_name | Peter P. Orth |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Orth, Peter P. |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5076306308 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-7830-5942 |
| authorships[4].author.display_name | Yong‐Xin Yao |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Yao, Yong-Xin |
| authorships[4].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/2408.06590 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Adaptive variational quantum dynamics simulations with compressed circuits and fewer measurements |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10682 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.982699990272522 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Quantum Computing Algorithms and Architecture |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2935759653, https://openalex.org/W3105167352, https://openalex.org/W54078636, https://openalex.org/W2954470139, https://openalex.org/W1501425562, https://openalex.org/W2902782467, https://openalex.org/W3084825885, https://openalex.org/W2298861036, https://openalex.org/W2271181815 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:2408.06590 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://arxiv.org/pdf/2408.06590 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | text |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/2408.06590 |
| primary_location.id | pmh:oai:arXiv.org:2408.06590 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://arxiv.org/pdf/2408.06590 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2408.06590 |
| publication_date | 2024-08-13 |
| publication_year | 2024 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 75, 85, 118, 142, 194, 202 |
| abstract_inverted_index.We | 88, 115, 179 |
| abstract_inverted_index.an | 32 |
| abstract_inverted_index.as | 69 |
| abstract_inverted_index.by | 42, 156 |
| abstract_inverted_index.in | 97 |
| abstract_inverted_index.of | 11, 35, 60, 77, 80, 94, 129, 150, 197 |
| abstract_inverted_index.on | 121, 162 |
| abstract_inverted_index.so | 68 |
| abstract_inverted_index.to | 64, 70, 124, 144, 173, 186 |
| abstract_inverted_index.we | 30, 39, 140 |
| abstract_inverted_index.The | 0, 55 |
| abstract_inverted_index.and | 111 |
| abstract_inverted_index.for | 131, 201 |
| abstract_inverted_index.the | 36, 44, 65, 72, 78, 81, 103, 108, 126, 132, 147, 175 |
| abstract_inverted_index.way | 143 |
| abstract_inverted_index.Here | 29 |
| abstract_inverted_index.adds | 58 |
| abstract_inverted_index.also | 116 |
| abstract_inverted_index.call | 40 |
| abstract_inverted_index.gate | 113 |
| abstract_inverted_index.high | 154 |
| abstract_inverted_index.keep | 71 |
| abstract_inverted_index.more | 188 |
| abstract_inverted_index.show | 117 |
| abstract_inverted_index.spin | 99 |
| abstract_inverted_index.than | 26, 191 |
| abstract_inverted_index.that | 20, 102, 181 |
| abstract_inverted_index.this | 182 |
| abstract_inverted_index.time | 204 |
| abstract_inverted_index.with | 49, 135, 166, 206 |
| abstract_inverted_index.Trial | 47 |
| abstract_inverted_index.based | 120 |
| abstract_inverted_index.below | 84 |
| abstract_inverted_index.depth | 110, 200 |
| abstract_inverted_index.e.g., | 170 |
| abstract_inverted_index.fewer | 24, 207 |
| abstract_inverted_index.final | 199 |
| abstract_inverted_index.fixed | 86, 195 |
| abstract_inverted_index.gates | 25, 63 |
| abstract_inverted_index.local | 98 |
| abstract_inverted_index.noise | 137 |
| abstract_inverted_index.often | 21 |
| abstract_inverted_index.solve | 125 |
| abstract_inverted_index.units | 165 |
| abstract_inverted_index.using | 14, 193 |
| abstract_inverted_index.which | 38 |
| abstract_inverted_index.while | 152 |
| abstract_inverted_index.TETRIS | 104 |
| abstract_inverted_index.Tiling | 45 |
| abstract_inverted_index.ansatz | 66, 196 |
| abstract_inverted_index.count. | 114 |
| abstract_inverted_index.layers | 59 |
| abstract_inverted_index.linear | 127 |
| abstract_inverted_index.method | 7, 119 |
| abstract_inverted_index.models | 100 |
| abstract_inverted_index.motion | 130 |
| abstract_inverted_index.quench | 95 |
| abstract_inverted_index.report | 31 |
| abstract_inverted_index.states | 13 |
| abstract_inverted_index.tensor | 171 |
| abstract_inverted_index.using, | 169 |
| abstract_inverted_index.(AVQDS) | 6 |
| abstract_inverted_index.Trotter | 27 |
| abstract_inverted_index.circuit | 67, 109, 160 |
| abstract_inverted_index.contain | 22 |
| abstract_inverted_index.deliver | 187 |
| abstract_inverted_index.enables | 184 |
| abstract_inverted_index.measure | 76 |
| abstract_inverted_index.method, | 37 |
| abstract_inverted_index.perform | 89 |
| abstract_inverted_index.porting | 43 |
| abstract_inverted_index.propose | 141 |
| abstract_inverted_index.quantum | 3, 12, 18, 159, 163, 176, 208 |
| abstract_inverted_index.reduces | 107 |
| abstract_inverted_index.results | 190 |
| abstract_inverted_index.tensor. | 178 |
| abstract_inverted_index.unitary | 62 |
| abstract_inverted_index.version | 34 |
| abstract_inverted_index.(TETRIS) | 53 |
| abstract_inverted_index.AVQDS(T) | 92, 151, 185 |
| abstract_inverted_index.Circuits | 48 |
| abstract_inverted_index.Finally, | 139 |
| abstract_inverted_index.accuracy | 79, 155 |
| abstract_inverted_index.accurate | 189 |
| abstract_inverted_index.adaptive | 1 |
| abstract_inverted_index.approach | 183 |
| abstract_inverted_index.circuits | 19 |
| abstract_inverted_index.disjoint | 61 |
| abstract_inverted_index.duration | 205 |
| abstract_inverted_index.dynamics | 4, 96 |
| abstract_inverted_index.enhanced | 136 |
| abstract_inverted_index.evaluate | 174 |
| abstract_inverted_index.improved | 33 |
| abstract_inverted_index.networks | 172 |
| abstract_inverted_index.overhead | 149 |
| abstract_inverted_index.performs | 8 |
| abstract_inverted_index.showcase | 180 |
| abstract_inverted_index.AVQDS(T), | 41 |
| abstract_inverted_index.Efficient | 46 |
| abstract_inverted_index.McLachlan | 73 |
| abstract_inverted_index.Rotations | 50 |
| abstract_inverted_index.algorithm | 56 |
| abstract_inverted_index.alleviate | 146 |
| abstract_inverted_index.benchmark | 90 |
| abstract_inverted_index.circuits. | 28 |
| abstract_inverted_index.classical | 167 |
| abstract_inverted_index.distance, | 74 |
| abstract_inverted_index.dynamics, | 83 |
| abstract_inverted_index.equations | 128 |
| abstract_inverted_index.evolution | 10 |
| abstract_inverted_index.generated | 16 |
| abstract_inverted_index.geometric | 177 |
| abstract_inverted_index.noiseless | 91 |
| abstract_inverted_index.real-time | 9 |
| abstract_inverted_index.technique | 105 |
| abstract_inverted_index.two-qubit | 112 |
| abstract_inverted_index.adaptively | 57 |
| abstract_inverted_index.comparable | 198 |
| abstract_inverted_index.eigenvalue | 122 |
| abstract_inverted_index.parameters | 134 |
| abstract_inverted_index.processing | 164 |
| abstract_inverted_index.resources. | 209 |
| abstract_inverted_index.simulation | 5 |
| abstract_inverted_index.technique. | 54 |
| abstract_inverted_index.threshold. | 87 |
| abstract_inverted_index.truncation | 123 |
| abstract_inverted_index.Implemented | 51 |
| abstract_inverted_index.integrating | 158 |
| abstract_inverted_index.maintaining | 153 |
| abstract_inverted_index.measurement | 148 |
| abstract_inverted_index.resilience. | 138 |
| abstract_inverted_index.significant | 203 |
| abstract_inverted_index.simulations | 93, 192 |
| abstract_inverted_index.variational | 2, 82, 133 |
| abstract_inverted_index.calculations | 161, 168 |
| abstract_inverted_index.automatically | 15 |
| abstract_inverted_index.demonstrating | 101 |
| abstract_inverted_index.parameterized | 17 |
| abstract_inverted_index.significantly | 106 |
| abstract_inverted_index.substantially | 23, 145 |
| abstract_inverted_index.Simultaneously | 52 |
| abstract_inverted_index.synergistically | 157 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile |