
TL;DR
This paper explores how nonlinear quantum equations like the Gross-Pitaevskii equation affect quantum search algorithms, revealing potential speedups and resource bounds in systems with effective nonlinear dynamics.
Contribution
It demonstrates that nonlinear effective equations can enable faster quantum search algorithms and establishes information-theoretic bounds for these nonlinear quantum systems.
Findings
Nonlinear equations can solve unstructured search in constant time.
Optimizing measurement precision improves overall search scaling to N^{1/4}.
Certain nonlinear systems and graph structures retain quantum speedup benefits.
Abstract
Although quant mech is linear, there are nevertheless quant sys with multiple interacting particles in which the effective evo of a single particle is governed by a nonlinear eq. This includes Bose-Einstein condensates, which are gov by the Gross-Pitaevskii eq (GPE), which is a cubic nonlin Schrodinger eq (NLSE) with a term propto . Evo by this eq solves the unstruct search prob in const time, but at the novel expense of increasing the time-measurement precision. Jointly optimizing these resources results in an overall scaling of , which is a significant, but not unreasonable, improvement over the scaling of Grover's algo. Since the GPE effectively approx the multi-particle Schrodinger eq, for which Grover's algo is optimal, our result leads to a quant info-theoretic bound on the num of particles needed for this approx to hold, asymp. The GPE is not the…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum Mechanics and Applications
