Efficient Fault-Tolerant Syndrome Measurement of Quantum Error-Correcting Codes Based on "Flag"

QiFei Wei, Dongxiao Quan, Jing Liu, Changxing Pei
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Abstract

Fault-tolerant syndrome measurement plays an important role in the process of quantum error correction, and considerable effort had been taken for reducing the physical overhead of syndrome measurement which including the ancilla qubits, the CNOT gates and the time-slots. The two extra qubits syndrome measurement technique, known as "flag"-style syndrome measurement, cuts down the number of extra qubits to the utmost. However, it works slowly because it measures only one syndrome at a time. We extend the technique to extract all syndromes of the distance-3 quantum error-correcting code at once. We propose a new method that increases the parallelism of the syndrome measurement circuit and reduces the time overhead by allocating and adjusting the order of CNOT gates for measuring data block reasonably, which we call dynamic time-slot allocation scheme, and which is applicable to both Hamming codes and color codes. For a CSS quantum error-correcting code with the number of stabilizers m and the maximum weight w, we only need 2m extra qubits and 2 × (w+2) time-slots for one-shot measurement of all syndromes.
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基于“Flag”的量子纠错码高效容错综合征测量
容错综合征测量在量子纠错过程中起着重要的作用,为了减少包括辅助量子比特、CNOT门和时隙在内的综合征测量的物理开销,人们做了大量的工作。两个额外量子位综合征测量技术,被称为“标志”式综合征测量,最大限度地减少了额外量子位的数量。然而,它的工作速度很慢,因为它一次只能测量一种综合症。我们将该技术扩展到一次提取距离-3量子纠错码的所有证候。本文提出了一种新的方法,即动态时隙分配方案,通过合理分配和调整CNOT门的顺序来测量数据块,从而提高了综合征测量电路的并行性,减少了时间开销,该方案既适用于汉明码,也适用于色码。对于稳定子数为m、最大权值为w的CSS量子纠错码,我们只需要额外的2m个量子比特和2 × (w+2)个时隙即可一次性测量所有证候。
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RNC: Reliable Network Property Classifier Based on Graph Embedding NFV Optimization Algorithm for Shortest Path and Service Function Assignment I/O Scheduling for Limited-Size Burst-Buffers Deployed High Performance Computing Efficient Fault-Tolerant Syndrome Measurement of Quantum Error-Correcting Codes Based on "Flag" Adaptive Clustering Strategy Based on Capacity Weight
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