Andrew S. Fletcher

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Quantum error correction ͑QEC͒ is an essential element of physical quantum information processing systems. Most QEC efforts focus on extending classical error correction schemes to the quantum regime. The input to a noisy system is embedded in a coded subspace, and error recovery is performed via an operation designed to perfectly correct for a set of(More)
recommendations are those of the author and are not necessarily endorsed by the United States Government. ABSTRACT To achieve high signal-to-noise ratios (SNR) while maintaining moderate sensor size, an architecture is proposed to combine several independent radar apertures into a coherently functioning unit. The proposed system utilizes several distinct(More)
Error correction procedures are considered which are designed specifically for the amplitude damping channel. Amplitude damping errors are analyzed in the stabilizer formalism. This analysis allows a generalization of the <i>[4,1]</i> ldquoapproximaterdquo amplitude damping code. This generalization is presented as a class of <i>[2(M</i>+1),<i>M</i>] codes;(More)
Quantum error correction (QEC) is an essential concept for any quantum information processing device. Typically, QEC is designed with minimal assumptions about the noise process; this generic assumption exacts a high cost in efficiency and performance. We examine QEC methods that are adapted to the physical noise model. In physical systems, errors are not(More)
optimal channel-adapted quantum error correction. Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. We present a class of(More)
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