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Summary: Polynomial Simulations of Decohered Quantum Computers
Dorit Aharonov and Michael BenOr
The Hebrew University, Jerusalem, Israel
Abstract
Recently it has become clear, that a key issue in
quantum computation is understanding how interac
tion with the environment, or ``decoherence'', effects
the computational power of quantum computers. We
adopt the standard physical method of describing sys
tems which are interwound with their environment by
``density matrices'', and within this framework define a
model of decoherence in quantum computation.
Our results show that the computational power of
decohered quantum computers depends strongly on the
amount of parallelism in the computation. We first
present a simulation of decohered sequential quantum
computers, on a classical probabilistic Turing machine,
and prove that the expected slowdown of this simulation
is polynomial in time and space of the quantum com
putation, for any non zero decoherence rate. Similar
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