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artwork giving an impression of bitstrings, light and quantum
Credit: I believe this widely-used image is public domain; it was obtained by download in 2015; source unknown

Prof Andrew Steane

Professor of Physics

Research theme

  • Quantum information and computation

Sub department

  • Atomic and Laser Physics

Research groups

  • Ion trap quantum computing
Andrew.Steane@physics.ox.ac.uk
Telephone: 01865 (2)72346,01865 (2)72385
Clarendon Laboratory, room 316.2
  • About
  • Teaching
  • Publications

Search for correlation effects in linear chains of trapped Ca+ ions

EUROPHYSICS LETTERS 51:4 (2000) 388-394

Authors:

CJS Donald, DM Lucas, PA Barton, MJ McDonnell, JP Stacey, DA Stevens, DN Stacey, AM Steane
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Space, Time, Parallelism and Noise Requirements for Reliable Quantum Computing

Chapter in Quantum Computing, Wiley (1999) 137-151
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Efficient fault-tolerant quantum computing

Nature 399:6732 (1999) 124-126

Abstract:

Quantum computing - the processing of information according to the fundamental laws of physics - offers a means to solve efficiently a small but significant set of classically intractable problems. Quantum computers are based on the controlled manipulation of entangled quantum states, which are extremely sensitive to noise and imprecision; active correction of errors must therefore be implemented without causing loss of coherence. Quantum error-correction theory has made great progress in this regard, by predicting error-correcting 'codeword' quantum states. But the coding is inefficient and requires many quantum bits, which results in physically unwieldy fault- tolerant quantum circuits. Here I report a general technique for circumventing the trade-off between the achieved noise tolerance and the scale-up in computer size that is required to realize the error correction. I adapt the recovery operation (the process by which noise is suppressed through error detection and correction) to simultaneously correct errors and perform a useful measurement that drives the computation. The result is that a quantum computer need be only an order of magnitude larger than the logic device contained within it. For example, the physical scale-up factor required to factorize a thousand-digit number is reduced from 1,500 to 22, while preserving the original tolerated gate error rate (10-5) and memory noise per bit (10-7). The difficulty of realizing a useful quantum computer is therefore significantly reduced.
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Enlargement of calderbank-shor-steane quantum codes

IEEE Transactions on Information Theory 45:7 (1999) 2492-2495

Abstract:

It is shown that a classical error correcting code C = [n, k, d] which contains its dual, C⊥ ⊆ C, and which can be enlarged to C′ = [n, k′ > k + 1, d′], can be converted into a quantum code of parameters [[n, k+k′ -n, min (d, [3d′/2])]]. This is a generalization of a previous construction, it enables many new codes of good efficiency to be discovered. Examples based on classical Bose-Chaudhuri-Hocquenghem (BCH) codes are discussed. © 1999 IEEE.
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Quantum Reed-Muller codes

IEEE Transactions on Information Theory 45:5 (1999) 1701-1703

Abstract:

In a previous study, Gottesman found an infinite set of optimal single-error-correcting quantum codes. This report presents a set of quantum codes of which Gottesman's is a subset. The codes are obtained by combining classical Reed-Muller codes.
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