"Quantum Computing: From Bragg Reflections to Decoherence Estimates" by Peter Pfeifer and Chen Hou
 

Abstract

We give an exposition of the principles of quantum computing (logic gates, exponential parallelism from polynomial hardware, fast quantum algorithms, quantum error correction, hardware requirements, and experimental milestones). A compact description of the quantum Fourier transform to find the period of a function-the key step in Shor's factoring algorithm-illustrates how parallel state evolution along many classical computational paths produces fast algorithms by constructive interference similar to Bragg reflections in x-ray crystallography. On the hardware side, we present a new method to estimate critical time scales for the operation of a quantum computer. We derive a universal upper bound on the probability of a computation to fail due to decoherence (entanglement of the computer with the environment), as a function of time. The bound is parameter-free, requiring only the interaction between the computer and the environment, and the time-evolving state in the absence of any interaction. For a simple model we find that the bound performs well and decoherence is small when the energy of the computer state is large compared to the interaction energy. This supports a recent estimate of minimum energy requirements for quantum computation.

Department(s)

Biological Sciences

Keywords and Phrases

Algorithms; Coherent Light; Error Correction; Fiber Bragg Gratings; Fourier Transforms; Mathematical Models; Probability; Reflection; X Ray Crystallography, Bragg Reflections; Decoherence; Quantum Algorithms; Quantum Computing; Quantum Error Correction, Quantum Theory

International Standard Serial Number (ISSN)

0272-9172;1946-4274

Document Type

Article - Journal

Document Version

Accepted Manuscript

File Type

text

Language(s)

English

Rights

© 2002 Cambridge University Press, All rights reserved.

Publication Date

01 Jan 2002

Included in

Biology Commons

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