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Cited by 159

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Adiabatic Quantum Computation is Equivalent to Standard Quantum Computation

Aharonov, D., van Dam, W., Kempe, J., Landau, Z., Lloyd, S., Regev, O.·2004·45th Annual IEEE Symposium on Foundations of Computer Science

Abstract

The model of adiabatic quantum computation has recently attracted attention in the physics and computer science communities, but its exact computational power has been unknown. We settle this question and describe an efficient adiabatic simulation of any given quantum algorithm. This implies that the adiabatic computation model and the standard quantum circuit model are polynomially equivalent. We also describe an extension of this result with implications to physical implementations of adiabatic computation. We believe that our result highlights the potential importance of the adiabatic computation model in the design of quantum algorithms and in their experimental realization.

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Metadata

Authors
Aharonov, D., van Dam, W., Kempe, J., Landau, Z., Lloyd, S., & Regev, O.
Venue
45th Annual IEEE Symposium on Foundations of Computer Science
Publisher
IEEE
Published
2004-12-23
Pages
42-51
ISSN
0272-5428 (ISSN-L)
OpenAlex
W2155664940
Cited by
159
References
12
FWCI
8.67
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adiabatic Quantum Computation is Equivalent to Standard Quantum Computation. https://app.cochat.ai/papers/10.1109/focs.2004.8
The paper
Aharonov, D., van Dam, W., Kempe, J., Landau, Z., Lloyd, S., & Regev, O. (2004). Adiabatic Quantum Computation is Equivalent to Standard Quantum Computation. 45th Annual IEEE Symposium on Foundations of Computer Science. https://doi.org/10.1109/focs.2004.8

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.