Search Results - Garnet Kin-Lic Chan
- Showing 1 - 13 results of 13
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Adiabatic quantum imaginary time evolution by Kasra Hejazi, Mario Motta, Garnet Kin-Lic Chan
Published in Physical Review Research (2024-07-01)Get full text
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Image super-resolution inspired electron density prediction by Chenghan Li, Or Sharir, Shunyue Yuan, Garnet Kin-Lic Chan
Published in Nature Communications (2025-05-01)Get full text
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Numerical continuum tensor networks in two dimensions by Reza Haghshenas, Zhi-Hao Cui, Garnet Kin-Lic Chan
Published in Physical Review Research (2021-04-01)Get full text
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Fermionic tensor network contraction for arbitrary geometries by Yang Gao, Huanchen Zhai, Johnnie Gray, Ruojing Peng, Gunhee Park, Wen-Yuan Liu, Eirik F. Kjønstad, Garnet Kin-Lic Chan
Published in Physical Review Research (2025-05-01)Get full text
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Simulating Models of Challenging Correlated Molecules and Materials on the Sycamore Quantum Processor by Ruslan N. Tazhigulov, Shi-Ning Sun, Reza Haghshenas, Huanchen Zhai, Adrian T.K. Tan, Nicholas C. Rubin, Ryan Babbush, Austin J. Minnich, Garnet Kin-Lic Chan
Published in PRX Quantum (2022-11-01)Get full text
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Ab initio quantum many-body description of superconducting trends in the cuprates by Zhi-Hao Cui, Junjie Yang, Johannes Tölle, Hong-Zhou Ye, Shunyue Yuan, Huanchen Zhai, Gunhee Park, Raehyun Kim, Xing Zhang, Lin Lin, Timothy C. Berkelbach, Garnet Kin-Lic Chan
Published in Nature Communications (2025-02-01)Get full text
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Rapid Initial-State Preparation for the Quantum Simulation of Strongly Correlated Molecules by Dominic W. Berry, Yu Tong, Tanuj Khattar, Alec White, Tae In Kim, Guang Hao Low, Sergio Boixo, Zhiyan Ding, Lin Lin, Seunghoon Lee, Garnet Kin-Lic Chan, Ryan Babbush, Nicholas C. Rubin
Published in PRX Quantum (2025-05-01)Get full text
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Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry by Seunghoon Lee, Joonho Lee, Huanchen Zhai, Yu Tong, Alexander M. Dalzell, Ashutosh Kumar, Phillip Helms, Johnnie Gray, Zhi-Hao Cui, Wenyuan Liu, Michael Kastoryano, Ryan Babbush, John Preskill, David R. Reichman, Earl T. Campbell, Edward F. Valeev, Lin Lin, Garnet Kin-Lic Chan
Published in Nature Communications (2023-04-01)Get full text
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