论文标题
多等级噪声反卷积和表征
Multiqubit noise deconvolution and characterization
论文作者
论文摘要
我们提出了一种噪声反卷积技术，用于在多Qualbit量子通道的输出处获得嘈杂的可观察物的无噪声预期值。对于任何数量的量子位或存在相关性，我们的协议也适用于任何数学上可逆的噪声模型，即使其逆映射在物理上不可实现时，即何时既不完全有阳性也不是痕量的。对于受Pauli噪声影响的通用观察到的，它提供了二次加速，始终产生其Pauli基础组件的重新制定。我们表明，每当这些未知（绕过资源繁重的技术，例如量子过程断层扫描）时，仍然可以在实验估计噪声参数的同时实现反卷积。我们提供了一个模拟，其中包括保利和非Pauli渠道的示例。
We present a noise deconvolution technique for obtaining noiseless expectation values of noisy observables at the output of multiqubit quantum channels. For any number of qubits or in the presence of correlations, our protocol applies to any mathematically invertible noise model, even when its inverse map is not physically implementable, i.e. when it is neither completely-positive nor trace-preserving. For a generic observable affected by Pauli noise it provides a quadratic speedup, always producing a rescaling of its Pauli basis components. We show that it is still possible to achieve the deconvolution while experimentally estimating the noise parameters, whenever these are unknown (bypassing resource-heavy techniques such as quantum process tomography). We provide a simulation, with examples for both Pauli and non-Pauli channels.
