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A Circuit-based Quantum Search Algorithm Driving by Transverse Fields

Wednesday October 19, 2016
4:00 pm


 Presenter:  Zhang Jiang, QuAIL, NASA Ames Research Center; and Stinger GhaffarianTechnologies, Inc.
 Series:  CQuIC Seminars
 Abstract:  We designed a quantum search algorithm, giving the same quadratic speedup achieved by Grover's original algorithm; we replace Grover's diffusion operator (hard to implement) with a product diffusion operator generated by transverse fields (easy to implement). In our algorithm, the problem Hamiltonian (oracle) and the transverse fields are applied to the system alternatively. We construct such a sequence that the corresponding unitary generates a closed transition between the initial state (even superposition of all states) and a modified target state, which has a high degree of overlap with the original target state. Let N = 2^n be the size of the search space. The transition rate is of order O(1/sqrt N), and the overlap is of order O(1/sqrt n), yielding a O(sqrt N) algorithm up to log(N) factors. Our algorithm belongs to a class of algorithms proposed by Farhi et al. [1-3], namely the Quantum Approximate Optimization Algorithm (QAOA).
 Location:  PAIS-2540, PAIS

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