Using small-scale quantum devices to solve algebraic equations
Quantum Information Processing, ISSN: 1573-1332, Vol: 20, Issue: 4
2021
- 3Captures
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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
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Article Description
Solving algebraic equations over GF(2) is a problem which has a wide range of applications, including NP-Hard problems and problems related to cryptography. The existing mature algorithms are difficult to solve large-scale problems. Inspired by Schöning’s algorithm and its quantum version, we apply related methods to solve algebraic equations over GF (2). The new algorithm we proposed has a significant improvement of solving efficiency in large-scale and sparse algebraic equations. As a hybrid algorithm, the new algorithm can not only run on a classic computer alone, but also use small-scale quantum devices to assist acceleration. And the new algorithm can be seen as an example of solving a large-scale problem on a small-scale quantum device.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85104265603&origin=inward; http://dx.doi.org/10.1007/s11128-021-03064-6; https://link.springer.com/10.1007/s11128-021-03064-6; https://link.springer.com/content/pdf/10.1007/s11128-021-03064-6.pdf; https://link.springer.com/article/10.1007/s11128-021-03064-6/fulltext.html; https://dx.doi.org/10.1007/s11128-021-03064-6; https://link.springer.com/article/10.1007/s11128-021-03064-6
Springer Science and Business Media LLC
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