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Classical symmetries and the Quantum Approximate Optimization Algorithm
Our approach formalizes the connection between quantum symmetry properties of the QAOA dynamics and the group of classical symmetries of the objective function.
Optimizing quantum heuristics with meta-learning
Variational quantum algorithms, a class of quantum heuristics, are promising candidates for the demonstration of useful quantum computation.
From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz
The essence of this extension, the Quantum Alternating Operator Ansatz, is the consideration of general parametrized families of unitaries rather than only those corresponding to the time-evolution under a fixed local Hamiltonian for a time specified by the parameter.
Quantum Physics
