NDLI: Hybrid quantum-classical computing with applications to computer graphics

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Hybrid quantum-classical computing with applications to computer graphics

Content Provider	ACM Digital Library
Author	Lanzagorta, Marco Uhlmann, Jeffrey K.
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. In this paper we discuss specific applications of quantum search to problems in computational geometry, simulation, and computer graphics.
File Format	PDF
DOI	10.1145/1198555.1198723
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-07-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Computational geometry Quantum algorithms Quantum computing Databases Simulation Computer graphics Quantum cloning Virtual reality Grover's algorithm Collision detection State estimation
Content Type	Text
Resource Type	Article

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