Encrypted-State Quantum Compilation Scheme Based on Quantum Circuit Obfuscation for Quantum Cloud Platforms

IF 4.6
IEEE Transactions on Quantum Engineering Pub Date : 2026-01-01 Epub Date: 2026-01-29 DOI:10.1109/TQE.2026.3659096
Chenyi Zhang;Tao Shang;Xueyi Guo;Yuanjing Zhang
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引用次数: 0

Abstract

With the rapid advancement of quantum computing, quantum compilation has become a crucial layer connecting high-level algorithms with physical hardware. In quantum cloud computing, compilation is performed on the cloud platforms, which expose user circuits to potential risks, such as structural leakage and output predictability. To address these issues, we propose the encrypted-state quantum compilation scheme based on quantum circuit obfuscation (ECQCO), the first secure compilation scheme tailored for the co-location of compilers and quantum hardware for quantum cloud platforms. It applies quantum homomorphic encryption to conceal output states and instantiates a structure obfuscation mechanism based on quantum indistinguishability obfuscation, effectively protecting both functionality and topology of the circuit. In addition, an adaptive decoupling obfuscation algorithm is designed to suppress potential idle errors while inserting pulse operations. The proposed scheme achieves information-theoretic security and guarantees computational indistinguishability under the quantum random oracle. Experimental results on benchmark datasets demonstrate that ECQCO achieves a total variation distance of up to 0.7 and a normalized graph edit distance of 0.88, enhancing compilation-stage security. Moreover, it introduces only a slight increase in circuit depth, while keeping the average fidelity change within 1.1%, thus achieving a practical balance between security and efficiency.
基于量子电路混淆的量子云平台加密态量子编译方案
随着量子计算的飞速发展,量子编译已经成为连接高级算法与物理硬件的关键一层。在量子云计算中,编译是在云平台上进行的,这使得用户电路暴露在潜在的风险中,例如结构泄漏和输出可预测性。为了解决这些问题,我们提出了基于量子电路混淆(ECQCO)的加密状态量子编译方案,这是第一个为量子云平台的编译器和量子硬件的共存而量身定制的安全编译方案。采用量子同态加密隐藏输出状态,并实例化了基于量子不可分辨混淆的结构混淆机制,有效地保护了电路的功能和拓扑结构。此外,设计了一种自适应解耦混淆算法,在插入脉冲操作时抑制潜在的空闲错误。该方案既实现了信息论的安全性,又保证了量子随机预测下的计算不可区分性。在基准数据集上的实验结果表明,ECQCO的总变异距离可达0.7,归一化图编辑距离可达0.88,增强了编译阶段的安全性。此外,它只引入了电路深度的轻微增加,同时将平均保真度变化保持在1.1%以内,从而实现了安全性和效率之间的实际平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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