Quantum discord as resource for remote state preparation

341 indexed citations
published 2012

Countries where authors are citing Quantum discord as resource for remote state preparation

Specialization
Citations

This map shows the geographic impact of Quantum discord as resource for remote state preparation. 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 Quantum discord as resource for remote state preparation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quantum discord as resource for remote state preparation more than expected).

Fields of papers citing Quantum discord as resource for remote state preparation

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Quantum discord as resource for remote state preparation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Quantum discord as resource for remote state preparation.

About Quantum discord as resource for remote state preparation

This paper, published in 2012, received 341 indexed citations . Written by Borivoje Dakić, Xiao‐Song Ma, Martin Ringbauer, Sebastian Kropatschek, Stefanie Barz, Tomasz Paterek, Vlatko Vedral, Anton Zeilinger, Časlav Brukner and Philip Walther covering the research area of Artificial Intelligence and Atomic and Molecular Physics, and Optics. It is primarily cited by scholars working on Artificial Intelligence (330 citations), Atomic and Molecular Physics, and Optics (317 citations) and Statistical and Nonlinear Physics (19 citations). Published in Nature Physics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1038/nphys2377.

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