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arXiv 2004.09479quant-ph

量子误差源与信道编码

Quantum Error Source and Channel Coding

Error Corp.(Error公司)

Dennis Lucarelli

AI总结:

研究量子误差源与信道编码,通过经典纠错码耦合逻辑量子比特块扩展对应关系,证明查找表解码器可校正错误模式,分析校正量子比特数量及相关特性,还表明在噪声模型下能识别错误,指出量子纠错是源压缩并受限。

摘要:

量子纠错从经典编码理论借鉴了许多原理和构造,并适用于量子力学的独特方面。本文通过经典纠错码耦合一个由相同量子码制备的逻辑量子比特块,将这种对应关系扩展到该逻辑量子比特块。此时,校正量子比特一次性携带来自多个逻辑量子比特的错误信息,通过集体推理来恢复错误。从代数角度看,该构造定义了与经典码对偶相对应的乘积稳定器群的子群,且证明了查找表解码器能校正符合两个组成码校正半径的每个错误模式。对于经典代数码族,在码容量水平下,服务于\(L\)个逻辑量子比特的校正量子比特数量按\({\cal O}(\log_2(L + 1))\)缩放,不过代价是稳定器权重随块长度增长。一个熵界表明校验权重无需随\(L\)增长。在一个唯象噪声模型下,相同的查找表通过最近邻后处理识别测量错误,且即使在有噪声的校正情况下,经典代数解码器也能精确定位携带错误的逻辑量子比特。更广泛地说,我们认为简化到其功能核心的量子纠错是香农意义下的源压缩,其源编码和信道编码定理限制了量子后选择任务的开销率。

英文摘要:

Quantum error correction draws many of its principles and constructions from classical coding theory, adapted to the unique aspects of quantum mechanics. Here we extend this correspondence to a block of logical qubits, each prepared in the same quantum code, by coupling the block through a classical error correcting code: syndrome qubits then carry error information from several logical qubits at once, and collective inference recovers the errors. Algebraically, the construction defines subgroups of the product stabilizer group corresponding to duals of classical codes, and we prove that a lookup table decoder corrects every error pattern respecting the correction radii of the two constituent codes. For classical algebraic code families, the number of syndrome qubits serving $L$ logical qubits scales as ${\cal O}(\log_2(L+1))$ at the code-capacity level, though at the price of stabilizer weight growing with the block length. An entropy bound shows that check weights need not grow with $L$. Under a phenomenological noise model, the same lookup table identifies measurement errors by nearest-neighbor post-processing, and classical algebraic decoders locate exactly the logical qubits carrying errors even with noisy syndromes. More broadly, we argue that quantum error correction, reduced to its functional core, is source compression in the sense of Shannon, whose source and channel coding theorems bound the overhead rates of quantum post-selection tasks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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