Quantum adiabatic brachistochrone
Physical Review Letters, ISSN: 0031-9007, Vol: 103, Issue: 8, Page: 080502
2009
- 133Citations
- 93Captures
- 1Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations133
- Citation Indexes133
- 133
- CrossRef127
- Captures93
- Readers93
- 93
- Mentions1
- News Mentions1
- News1
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Article Description
We formulate a time-optimal approach to adiabatic quantum computation (AQC). A corresponding natural Riemannian metric is also derived, through which AQC can be understood as the problem of finding a geodesic on the manifold of control parameters. This geometrization of AQC is demonstrated through two examples, where we show that it leads to improved performance of AQC, and sheds light on the roles of entanglement and curvature of the control manifold in algorithmic performance. © 2009 The American Physical Society.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=69149086321&origin=inward; http://dx.doi.org/10.1103/physrevlett.103.080502; http://www.ncbi.nlm.nih.gov/pubmed/19792702; https://link.aps.org/doi/10.1103/PhysRevLett.103.080502; http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevLett.103.080502/fulltext; http://link.aps.org/article/10.1103/PhysRevLett.103.080502
American Physical Society (APS)
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