论文标题

基于经典代码的标志小工具

Flag Gadgets based on Classical Codes

论文作者

Anker, Benjamin, Marvian, Milad

论文摘要

易耐故障综合征提取是实现容忍量子计算的关键要素。虽然传统方法在综合征的重量中使用了许多额外的Qubits线性,但使用FLAG小工具引入了一些改进。在这项工作中,我们开发了一个使用经典代码设计标志小工具的框架。使用此框架,我们展示了如何使用指数级的量子量较少的稳定剂代码进行任何稳定综合征提取,而与常规方法相比,与误差校正相比,量子测量和重置相对较慢。我们进一步利用构造提供的节省来使用单个小工具来测量多个稳定剂,并表明当它用于故障 - 耐受性地提取量子LDPC代码的综合征时,它具有相同的指数优势。使用开发的框架我们执行计算机辅助搜索,以找到几个小示例,其中我们的结构减少了所需的量子数。这些小例子可能与小型量子计算机上的近期实验有关。

Fault-tolerant syndrome extraction is a key ingredient in implementing fault-tolerant quantum computations. While conventional methods use a number of extra qubits linear in the weight of the syndrome, several improvements have been introduced using flag gadgets. In this work, we develop a framework to design flag gadgets using classical codes. Using this framework we show how to perform fault-tolerant syndrome extraction for any stabilizer code with arbitrary distance using exponentially fewer qubits than conventional methods when qubit measurement and reset are relatively slow compared to a round of error correction. We further take advantage of the saving provided by our construction to fault-tolerantly measure multiple stabilizers using a single gadget, and show that it maintains the same exponential advantage when it is used to fault-tolerantly extract the syndrome of quantum LDPC codes. Using the developed framework we perform computer-assisted search to find several small examples where our constructions reduce the number of qubits required. These small examples may be relevant to near-term experiments on small-scale quantum computers.

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