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A Numerical Study of the Performance of a Quantum Adiabatic Evolution Algorithm for Satisfiability

Edward Farhi·Jeffrey Goldstone·Sam Gutmann
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Abstract

Quantum computation by adiabatic evolution, as described in quant-ph/0001106, will solve satisfiability problems if the running time is long enough. In certain special cases (that are classically easy) we know that the quantum algorithm requires a running time that grows as a polynomial in the number of bits. In this paper we present numerical results on randomly generated instances of an NP-complete problem and of a problem that can be solved classically in polynomial time. We simulate a quantum computer (of up to 16 qubits) by integrating the Schrodinger equation on a conventional computer. For both problems considered, for the set of instances studied, the required running time appears to grow slowly as a function of the number of bits.

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Edward Farhi, Jeffrey Goldstone, Sam Gutmann. 2000-07-19. A Numerical Study of the Performance of a Quantum Adiabatic Evolution Algorithm for Satisfiability. https://arxiv.org/abs/quant-ph/0007071

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