The DOI matches its Crossref record; 264 of the 266 references it cites were found in a registry or an index.
Quantum algorithms for algebraic problems
Open accessAbstract
Quantum computers can execute algorithms that dramatically outperform classical computation. As the best-known example, Shor discovered an efficient quantum algorithm for factoring integers, whereas factoring appears to be difficult for classical computers. Understanding what other computational problems can be solved significantly faster using quantum algorithms is one of the major challenges in the theory of quantum computation, and such algorithms motivate the formidable task of building a large-scale quantum computer. This article reviews the current state of quantum algorithms, focusing on algorithms with superpolynomial speedup over classical computation and, in particular, on problems with an algebraic flavor.
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“However, an important technical point is that the sequences of operations (or quantum circuits, see Section 4.1.3) yielded from phase estimation are often too deep to be feasible on today's NISQ devices 51 .”
From Quantum Chemistry in the Age of Quantum Computing (2019) · cites this paper as [51]
In the citing paper
“Furthermore, these early devices, also called 'pre-threshold' or NISQ 51 devices, cannot support quantum error correction schemes, which require additional overhead.”
From Quantum Chemistry in the Age of Quantum Computing (2019) · cites this paper as [51]
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Cited by
Sorted by citations
Quantum Chemistry in the Age of Quantum Computing
Cao, Y., Romero, J., Olson, J. P., Degroote, M., Johnson, P. D., Kieferová, M., Kivlichan, I. D., Menke, T., Peropadre, B., Sawaya, N. P. D., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00803 · Cited by 1,560
Quantum Chemistry in the Age of Quantum Computing
Cao, Y., Romero, J., Olson, J., Degroote, M., Johnson, P., Kieferová, M., Kivlichan, I., Menke, T., Peropadre, B., Sawaya, N., et al. (n.d.) · OPUS - Open Publications of UTS Scholars (University of Technology Sydney) · Cited by 1,265
Quantum algorithms: an overview
Montanaro, A. (2016) · npj Quantum Information · doi:10.1038/npjqi.2015.23 · Cited by 1,071
Machine learning & artificial intelligence in the quantum domain: a review of recent progress
Dunjko, V., & Briegel, H. J. (2018) · Reports on Progress in Physics · doi:10.1088/1361-6633/aab406 · Cited by 1,241
Quantum walks: a comprehensive review
Venegas-Andraca, S. E. (2012) · Quantum Information Processing · doi:10.1007/s11128-012-0432-5 · Cited by 934
Metadata
- Authors
- Childs, A. M., & van Dam, W.
- Affiliations
- University of Waterloo (CA)
- ORCID
- Childs, Andrew M.
- Venue
- Reviews of Modern Physics
- Publisher
- American Physical Society (APS)
- Published
- 2010-01-15
- Volume
- 82
- Issue
- 1
- Pages
- 1-52
- ISSN
- 0034-6861 (ISSN-L)
- 1539-0756
- OpenAlex
- W1972883454
- Cited by
- 344
- References
- 266
- Citations by year
- 2026: 14 · 2025: 20 · 2024: 23 · 2023: 53 · 2022: 23 · 2021: 13 · 2020: 18 · 2019: 16 · 2018: 19 · 2017: 17 · 2016: 15 · 2015: 16 · 2014: 24 · 2013: 24 · 2012: 22
- FWCI
- 23.31
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Reviews of Modern Physics (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Complexity and Algorithms in Graphs
- Keywords
- quantum algorithms, algebraic problems, integer factorization, Shor's algorithm, quantum computing
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