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Faster ground state preparation and high-precision ground energy estimation with fewer qubits

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arxiv 1712.03193 v2 pith:J3XTWOQ4 submitted 2017-12-08 quant-ph

classification quant-ph
keywords algorithmgroundquantumestimationstatealgorithmsbetterenergy
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We propose a general-purpose quantum algorithm for preparing ground states of quantum Hamiltonians from a given trial state. The algorithm is based on techniques recently developed in the context of solving the quantum linear systems problem [Childs,Kothari,Somma'15]. We show that, compared to algorithms based on phase estimation, the runtime of our algorithm is exponentially better as a function of the allowed error, and at least quadratically better as a function of the overlap with the trial state. We also show that our algorithm requires fewer ancilla qubits than existing algorithms, making it attractive for early applications of small quantum computers. Additionally, it can be used to determine an unknown ground energy faster than with phase estimation if a very high precision is required.

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Cited by 1 Pith paper

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

  1. Eigenstate Preparation on Quantum Computers

    quant-ph 2024-12 conditional novelty 5.0 of 10

    A dissertation presenting adiabatic evolution with optimal control, the Rodeo Algorithm, and a new Variational Rodeo Algorithm that uses Rodeo success probability as a variational cost function.

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