Ho Lun Tang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ho Lun Tang trusts overall

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

  1. Jarrod R. McClean
  2. Harper R. Grimsley
  3. Jonathan Romero
  4. William J. Huggins
  5. Alberto Peruzzo
  6. Sophia E. Economou
  7. John Preskill
  8. Ryan Babbush

Who trusts Ho Lun Tang overall

  1. M. Cerezo

Papers from Ho Lun Tang's perspective

Ordered by how strongly the researchers Ho Lun Tang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Quantum computational chemistry (Reviews of Modern Physics)
  2. Efficient and noise resilient measurements for quantum chemistry on near-term quantum computers (npj Quantum Information)
  3. Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz (Quantum Science and Technology)
  4. Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets (Nature)
  5. A variational eigenvalue solver on a photonic quantum processor (Nature Communications)
  6. The theory of variational hybrid quantum-classical algorithms
  7. Efficient symmetry-preserving state preparation circuits for the variational quantum eigensolver algorithm (npj Quantum Information)
  8. Self-Consistent Equations Including Exchange and Correlation Effects
  9. Quantum Chemistry Calculations on a Trapped-Ion Quantum Simulator (Physical Review X)
  10. Inhomogeneous Electron Gas

Their papers