3 papers
quant-ph2025
DyLoC: A Dual-Layer Architecture for Secure and Trainable Quantum Machine Learning Under Polynomial-DLA constraint
Chenyi Zhang, Tao Shang, Chao Guo +1
Variational quantum circuits face a critical trade-off between privacy and trainability. High expressivity required for robust privacy induces exponentially large dynamical Lie alg…
quant-ph2025
Encrypted-state quantum compilation scheme based on quantum circuit obfuscation for quantum cloud platforms
Chenyi Zhang, Tao Shang, Xueyi Guo +1
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,…
quant-ph2024
Quantum Indistinguishable Obfuscation via Quantum Circuit Equivalence
Yuanjing Zhang, Tao Shang, Kun Zhang +3
Quantum computing solutions are increasingly deployed in commercial environments through delegated computing, especially one of the most critical issues is to guarantee the confide…