8 citations · 8 across the 1 of their papers we have counts for
7 papers
Variational quantum eigensolvers for sparse Hamiltonians
William M. Kirby, Peter J. Love
Hybrid quantum-classical variational algorithms such as the variational quantum eigensolver (VQE) and the quantum approximate optimization algorithm (QAOA) are promising applicatio…
Simulating Hadronic Physics on NISQ devices using Basis Light-Front Quantization
Michael Kreshchuk, Shaoyang Jia, William M. Kirby +3
The analogy between quantum chemistry and light-front quantum field theory, first noted by Kenneth G. Wilson, serves as motivation to develop light-front quantum simulation of quan…
Consistency testing for robust phase estimation
Antonio E. Russo, William M. Kirby, Kenneth M. Rudinger +2
We present an extension to the robust phase estimation protocol, which can identify incorrect results that would otherwise lie outside the expected statistical range. Robust phase…
Contextual Subspace Variational Quantum Eigensolver
William M. Kirby, Andrew Tranter, Peter J. Love
We describe the contextual subspace variational quantum eigensolver (CS-VQE), a hybrid quantum-classical algorithm for approximating the ground state energy of a Hamiltonian. The a…
Classical Simulation of Noncontextual Pauli Hamiltonians
William M. Kirby, Peter J. Love
Noncontextual Pauli Hamiltonians decompose into sets of Pauli terms to which joint values may be assigned without contradiction. We construct a quasi-quantized model for noncontext…
Measurement reduction in variational quantum algorithms
Andrew Zhao, Andrew Tranter, William M. Kirby +3
Variational quantum algorithms are promising applications of noisy intermediate-scale quantum (NISQ) computers. These algorithms consist of a number of separate prepare-and-measure…