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Quantum Adiabatic Evolution Algorithms with Different Paths

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arxiv quant-ph/0208135 v1 pith:MAGA6G5A submitted 2002-08-21 quant-ph

classification quant-ph
keywords hamiltonianalgorithmsfinalgroundinitialpathsquantumstate
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In quantum adiabatic evolution algorithms, the quantum computer follows the ground state of a slowly varying Hamiltonian. The ground state of the initial Hamiltonian is easy to construct; the ground state of the final Hamiltonian encodes the solution of the computational problem. These algorithms have generally been studied in the case where the "straight line" path from initial to final Hamiltonian is taken. But there is no reason not to try paths involving terms that are not linear combinations of the initial and final Hamiltonians. We give several proposals for randomly generating new paths. Using one of these proposals, we convert an algorithmic failure into a success.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Reshaping quantum annealing landscapes with diagonal catalysts

    quant-ph 2026-07 conditional novelty 7.0 of 10

    Catalysts built from sign-propagated path patterns reshape the Hamming-distance structure of Ising landscapes and increase near-solution probability in quantum annealing simulations.

  2. Hybrid Real-Imaginary Time Evolution for Low-Depth Hamiltonian Simulation in Quantum Optimization

    quant-ph 2025-11 unverdicted novelty 6.0 of 10

    HAVQDS achieves higher approximation ratios on 6-14 qubit SK instances than adiabatic or CD methods while cutting CNOT counts by 1-2 orders of magnitude.

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