Hybrid quantum computing: semicloning for general database retrieval

Marco Lanzagorta; Jeffrey K. Uhlmann

doi:10.1117/12.602928

25 May 2005 Hybrid quantum computing: semicloning for general database retrieval

Proceedings Volume 5815, Quantum Information and Computation III; (2005) https://doi.org/10.1117/12.602928
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Quantum computing (QC) has become an important area of research in computer science because of its potential to provide more efficient algorithmic solutions to certain problems than are possible with classical computing (CC). In particular, QC is able to exploit the special properties of quantum superposition to achieve computational parallelism beyond what can be achieved with parallel CC computers. However, these special properties are not applicable for general computation. Therefore, we propose the use of "hybrid quantum computers" (HQCs) that combine both classical and quantum computing architectures in order to leverage the benefits of both. We demonstrate how an HQC can exploit quantum search to support general database operations more efficiently than is possible with CC. Our solution is based on new quantum results that are of independent significance to the field of quantum computing. More specifically, we demonstrate that the most restrictive implications of the quantum No-Cloning Theorem can be avoided through the use of semiclones.

Citation Download Citation

Marco Lanzagorta and Jeffrey K. Uhlmann "Hybrid quantum computing: semicloning for general database retrieval", Proc. SPIE 5815, Quantum Information and Computation III, (25 May 2005); https://doi.org/10.1117/12.602928

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