6 citations · 7 across the 2 of their papers we have counts for
3 papers · 1 filter
Cheaper and more noise-resilient quantum state preparation using eigenvector continuation
Anjali A. Agrawal, João C. Getelina, Akhil Francis +1
Subspace methods are powerful, noise-resilient methods that can effectively prepare ground states on quantum computers. The challenge is to get a subspace with a small condition nu…
Subspace Diagonalization on Quantum Computers using Eigenvector Continuation
Akhil Francis, Anjali A. Agrawal, Jack H. Howard +2
Quantum subspace diagonalization (QSD) methods are quantum-classical hybrid methods, commonly used to find ground and excited state energies by projecting the Hamiltonian to a smal…
Many Body Thermodynamics on Quantum Computers via Partition Function Zeros
Akhil Francis, D. Zhu, C. Huerta Alderete +6
Interacting quantum systems illustrate complex phenomena including phase transitions to novel ordered phases. The universal nature of critical phenomena reduces their description t…