Garnet Kin-Lic Chan

Atomic and Molecular Physics, and Optics · 2002–2020

A researcher in the Science corpus: 12 papers; trusts 24 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Atomic and Molecular Physics, and Optics — 183 citations into it; #1,326 of 7,135 by trust here, #854 by citations
• Artificial Intelligence — 62 citations into it
• Condensed Matter Physics — 36 citations into it; #835 of 1,948 by trust here, #723 by citations
• Computational Theory and Mathematics — 24 citations into it
• Spectroscopy — 21 citations into it
• Computational Chemistry & Drug Discovery — 6 citations into it

Whom Garnet Kin-Lic Chan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ors Legeza
2. S. White
3. M. B. Hastings
4. Gabriel Kotliar
5. Frank Verstraete
6. Sandeep Sharma
7. G. Knizia
8. M. Head‐Gordon
9. Iroon Polytechniou
10. Ulrich Schollwoeck

Who trusts Garnet Kin-Lic Chan overall

1. Sebastian Wouters
2. B. Zheng
3. Sandeep Sharma
4. Yudong Cao
5. Dimitri Van Neck
6. M. Cerezo
7. Robert M. Parrish
8. Ulrich Schollwoeck
9. Zhigang Shuai
10. L. Burns

Papers from Garnet Kin-Lic Chan's perspective

Ordered by how strongly the researchers Garnet Kin-Lic Chan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Highly correlated calculations with a polynomial cost algorithm: A study of the density matrix renormalization group
2. Universal quantum computation with ideal Clifford gates and noisy ancillas (14 pages)
3. Renormalization algorithms for Quantum-Many Body Systems in two and higher dimensions
4. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
5. Efficient Quantum Algorithms for Simulating Sparse Hamiltonians
6. and s
7. Infinite projected entangled pair states algorithm improved: Fast full update and gauge fixing
8. Scalable Quantum Simulation of Molecular Energies
9. CRYSTAL14: A program for the ab initio investigation of crystalline solids
10. NEW METHOD FOR CALCULATING THE ONE-PARTICLE GREEN'S FUNCTION WITH APPLICATION TO THE ELECTRON-GAS PROBLEM

Their papers

• PySCF: the Python‐based simulations of chemistry framework (2017) — 1,911 citations
• Recent developments in the PySCF program package. (2020) — 1,259 citations
• Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution (2019) — 819 citations
• Low-Depth Quantum Simulation of Materials (2017) — 345 citations
• Towards the solution of the many-electron problem in real materials: equation of state of the hydrogen chain with state-of-the-art many-body methods (2017) — 219 citations
• Stripe order in the underdoped region of the two-dimensional Hubbard model (2016) — 602 citations
• Ground-state phase diagram of the square lattice Hubbard model from density matrix embedding theory (2015) — 140 citations
• Advances in molecular quantum chemistry contained in the Q-Chem 4 program package (2014) — 2,677 citations
• Spin-adapted density matrix renormalization group algorithms for quantum chemistry. (2012) — 277 citations
• The density matrix renormalization group in quantum chemistry. (2011) — 735 citations
• The radical character of the acenes: a density matrix renormalization group study. (2007) — 386 citations
• Highly correlated calculations with a polynomial cost algorithm: A study of the density matrix renormalization group (2002) — 510 citations