Mio Murao

2.6k citations
75 papers · 1.8k indexed · h-index 19

Mio Murao

72 papers receiving 1.7k citations

Peers

Mio Murao
Comparison fields: 5 of 52
  • Artificial Intelligence 1.6k
  • Atomic and Molecular Physics, and Optics 1.6k
  • Computational Mathematics 22
  • Statistical and Nonlinear Physics 129
  • Acoustics and Ultrasonics 6
Replace Damian Markham with:
Damian Markham France
Eric Chitambar United States
Zhengfeng Ji China
Matthias Kleinmann Germany
Huangjun Zhu China
Nengkun Yu Australia
Andreas Elben Austria
Jeroen Dehaene Belgium
Armin Tavakoli Sweden
Martin Kliesch Germany
Mio Murao relative to Damian Markham France Damian Markham's profile →
Citations per field
00.5×1.5×1.9×
Damian Markham · 1×
Citations per year

Countries citing papers authored by Mio Murao

Since Specialization
Citations

This map shows the geographic impact of Mio Murao's research. 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 Mio Murao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mio Murao more than expected).

Fields of papers citing papers by Mio Murao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mio Murao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mio Murao. The network helps show where Mio Murao may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mio Murao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mio Murao Line = papers co-authored together Mio Murao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20247
3 20245
4 20234
5 202315
6 202112
7 201931
8 201949
9 201910
10
Reversing unknown quantum transformations: A universal protocol for inverting general unitary operations
20181
11 201510
12 201526
13 201338
14
Translating measurement-based quantum computation with gflow into quantum circuit
20130
15
Diagonal-unitary t-designs and their constructions
20121
16 20126
17 20075
18 2006125
19 200183
20
Generalisation of purification to multi-particle entanglement
20010

About Mio Murao

Mio Murao is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (67 papers), Quantum Computing Algorithms and Architecture (56 papers), Quantum Mechanics and Applications (42 papers), Advanced Thermodynamics and Statistical Mechanics (8 papers), Quantum many-body systems (8 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Quantum and electron transport phenomena (6 papers) and stochastic dynamics and bifurcation (3 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Atomic and Molecular Physics, and Optics (1.6k citations) and Computational Mathematics (22 citations). Mio Murao has collaborated with scholars based in Japan, United Kingdom and Singapore. Frequent co-authors include Vlatko Vedral, Martin B. Plenio, Daniel Jonathan, Damian Markham, Akihito Soeda, P. L. Knight, Masaki Owari, S. Virmani, Ştefan Popescu and Peter S. Turner.

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.

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