S
Stuart Hadfield
Researcher at Ames Research Center
Publications - 37
Citations - 1356
Stuart Hadfield is an academic researcher from Ames Research Center. The author has contributed to research in topics: Quantum algorithm & Quantum computer. The author has an hindex of 12, co-authored 30 publications receiving 785 citations. Previous affiliations of Stuart Hadfield include Research Institute for Advanced Computer Science & Columbia University.
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From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz.
TL;DR: The essence of this extension, the quantum alternating operator ansatz, is the consideration of general parameterized families of unitaries rather than only those corresponding to the time evolution under a fixed local Hamiltonian for a time specified by the parameter.
Journal ArticleDOI
From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz
TL;DR: The quantum alternating operator ansatz (QOANSatz) as discussed by the authors is a generalization of the original quantum approximate optimization algorithm, which alternates between applying a cost function based Hamiltonian and a mixing Hamiltonian.
Journal ArticleDOI
Quantum approximate optimization algorithm for MaxCut: A fermionic view
TL;DR: The parameter landscape is numerically investigated and it is shown that it is a simple one in the sense of having no local optima, which greatly simplifies numerical search for the optimal values of the parameters.
Posted ContentDOI
Quantum Algorithms for Scientific Computing and Approximate Optimization
TL;DR: The performance of the quantum approximate optimization algorithm (QAOA) is studied, and a generalization of QAOA is shown, particularly suitable for constrained optimization problems and low-resource implementations on near-term quantum devices.
Posted Content
On the representation of Boolean and real functions as Hamiltonians for quantum computing
TL;DR: A goal of this work is to provide a design toolkit for quantum optimization which may be utilized by experts and practitioners alike in the construction and analysis of new quantum algorithms, and at the same time to provided a unified framework for the various constructions appearing in the literature.