Spectral Gap Amplification
Spectral Gap Amplification is a method in adiabatic quantum computing that selectively increases the minimum energy difference between the ground state and first excited state of a Hamiltonian, thereby accelerating the adiabatic evolution while preserving the computational path.
12
Publications
552
Citations
29
Authors
24
Institutions
Publications per year
2017–2026
3
Parents
12
Compilation of Fault-Tolerant Quantum Heuristics for Combinatorial Optimization
PRX Quantum · 2020 · 94 citations · Full text
Computing, Computer Science, Physics +17
SIAM Journal on Computing · 2013 · 43 citations · Full text
Computing, Computer Science, Physics +17
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Beijing Normal University
Beijing, China
1 h-index
1 publications
17 citations

Macquarie University
Sydney, Australia
1 h-index
4 publications
376 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
1 h-index
2 publications
56 citations

Pacific Northwest National Laboratory
Richland, United States
1 h-index
1 publications
94 citations
Xiamen University
Xiamen, China
1 h-index
7 publications
77 citations
National University of Singapore
Singapore, Singapore
1 h-index
3 publications
96 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
3 publications
117 citations
University of Washington
Seattle, United States
1 h-index
1 publications
94 citations
1–8 of 24
Conference · 1 publications · 28 citations
1
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1 publications · 43 citations
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JSV · 1 publications · 18 citations
1
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1 publications · 11 citations
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Repository · 1 publications · 33 citations
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