AI 中文总结
本研究在混合超导量子比特-腔处理器上实现多种算法，验证动态量子电路的优势，其10位Bernstein-Vazirani算法成功率达82%，还完成8位量子相位估计及超导平台上首个Shor算法动态电路实现。
AI 中文摘要
动态量子电路（DQCs）通过中间电路测量、量子比特复位与复用以及经典前馈控制，减少了物理量子比特开销并压缩了电路拓扑，为量子计算提供了硬件高效的实现途径。本研究在单个混合超导量子比特-腔处理器上展示了DQCs的优势，通过实现复杂度递增的一系列算法完成验证。该混合架构包含一个作为计算寄存器的高维腔qudit，以及一个色散耦合的超导transmon辅助量子比特，该辅助量子比特可被重复测量、复位和复用以实现动态控制。利用该装置，研究人员实现了平均成功概率为82%的10位Bernstein-Vazirani算法，在规模和性能上均超越了当前最优的动态及静态实现；实现了估计误差低于10⁻³的8位量子相位估计协议；还在超导平台上首次实现了Shor算法的动态电路版本，在所有互素基上对15进行因式分解，其平方统计重叠值高于99.8%。这些结果为未来的DQCs实现提供了具体基准，凸显了混合量子比特-qudit架构下DQCs的多功能优势，确立其为可扩展、可编程量子计算的有前景途径。
英文摘要
Dynamic quantum circuits (DQCs) provide a hardware-efficient route to quantum computing by reducing physical-qubit overhead and compressing circuit topology through mid-circuit measurements, qubit reset and reuse, and classical feed-forward control. Here, we demonstrate the advantages of DQCs on a single hybrid superconducting qubit-cavity processor by implementing a hierarchy of algorithms with increasing complexity. This hybrid architecture consists of a high-dimensional cavity qudit serving as the computational register and a dispersively coupled superconducting transmon ancilla that is repeatedly measured, reset, and reused to enable dynamic control. Using this device, we implement a 10-bit Bernstein-Vazirani algorithm with an average success probability of 82%, surpassing state-of-the-art dynamic and static implementations in both scale and performance; an 8-bit quantum phase-estimation protocol with estimation errors below 10-3; and the first dynamic-circuit implementation of Shor's algorithm on a superconducting platform, factoring 15 over all coprime bases with squared statistical overlap values above 99.8%. These results provide concrete benchmarks for future DQC implementations and highlight the versatile advantages of DQCs with the hybrid qubit-qudit architecture, establishing it as a promising route toward scalable, programmable quantum computation.
Comments17 pages, 10 figures
