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arxiv: 0707.0685 · v1 · submitted 2007-07-04 · 🪐 quant-ph

Symmetrised Characterisation of Noisy Quantum Processes

classification 🪐 quant-ph
keywords quantumcharacterisationcontroldecoherencenoisesystemsaffectingexisting
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A major goal of developing high-precision control of many-body quantum systems is to realise their potential as quantum computers. Probably the most significant obstacle in this direction is the problem of "decoherence": the extreme fragility of quantum systems to environmental noise and other control limitations. The theory of fault-tolerant quantum error correction has shown that quantum computation is possible even in the presence of decoherence provided that the noise affecting the quantum system satisfies certain well-defined theoretical conditions. However, existing methods for noise characterisation have become intractable already for the systems that are controlled in today's labs. In this paper we introduce a technique based on symmetrisation that enables direct experimental characterisation of key properties of the decoherence affecting a multi-body quantum system. Our method reduces the number of experiments required by existing methods from exponential to polynomial in the number of subsystems. We demonstrate the application of this technique to the optimisation of control over nuclear spins in the solid state.

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  1. Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor

    quant-ph 2026-05 unverdicted novelty 4.0

    Logical quantum kernels outperform physical ones when solving differential equations on a neutral-atom processor, with gains traced to noise error detection in the logical encoding.