A variational eigenvalue solver on a photonic quantum processor
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- Nature Communications
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This map shows the geographic impact of A variational eigenvalue solver on a photonic quantum processor. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A variational eigenvalue solver on a photonic quantum processor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A variational eigenvalue solver on a photonic quantum processor more than expected).
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This network shows the impact of A variational eigenvalue solver on a photonic quantum processor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A variational eigenvalue solver on a photonic quantum processor.
About A variational eigenvalue solver on a photonic quantum processor
This paper, published in 2014, received 2.5k indexed citations . Written by Alberto Peruzzo, Jarrod R. McClean, Peter Shadbolt, Man‐Hong Yung, Xiaoqi Zhou, Peter J. Love, Alán Aspuru‐Guzik and Jeremy L. O’Brien covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (2.3k citations), Atomic and Molecular Physics, and Optics (1.3k citations) and Computational Theory and Mathematics (474 citations). Published in Nature Communications.
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This paper is also available at doi.org/10.1038/ncomms5213.