307 citations · 353 across the 6 of their papers we have counts for
12 papers · 1 filter
Ising machines as hardware solvers of combinatorial optimization problems
Naeimeh Mohseni, Peter L. McMahon, Tim Byrnes
Ising machines are hardware solvers which aim to find the absolute or approximate ground states of the Ising model. The Ising model is of fundamental computational interest because…
Engineering a Kerr-based Deterministic Cubic Phase Gate via Gaussian Operations
Ryotatsu Yanagimoto, Tatsuhiro Onodera, Edwin Ng +3
We propose a deterministic, measurement-free implementation of a cubic phase gate for continuous-variable quantum information processing. In our scheme, the applications of displac…
Quantum Filter Diagonalization: Quantum Eigendecomposition without Full Quantum Phase Estimation
Robert M. Parrish, Peter L. McMahon
We develop a quantum filter diagonalization method (QFD) that lies somewhere between the variational quantum eigensolver (VQE) and the phase estimation algorithm (PEA) in terms of…
The Capacity of Quantum Neural Networks
Logan G. Wright, Peter L. McMahon
A key open question in quantum computation is what advantages quantum neural networks (QNNs) may have over classical neural networks (NNs), and in what situations these advantages…
A quantum annealer with fully programmable all-to-all coupling via Floquet engineering
Tatsuhiro Onodera, Edwin Ng, Peter L. McMahon
Quantum annealing is a promising approach to heuristically solving difficult combinatorial optimization problems. However, the connectivity limitations in current devices lead to a…
Hybrid Quantum/Classical Derivative Theory: Analytical Gradients and Excited-State Dynamics for the Multistate Contracted Variational Quantum Eigensolver
Robert M. Parrish, Edward G. Hohenstein, Peter L. McMahon +1
The maturation of analytical derivative theory over the past few decades has enabled classical electronic structure theory to provide accurate and efficient predictions of a wide v…