3 papers
quant-ph2026
Efficient Quantum Algorithm for Robust Training
Yue Wang, Guangyi He, Liepeng Zhang +2
Adversarial training is a standard defense against malicious input perturbations in security-critical machine-learning systems. Its main burden is structural: before every paramete…
quant-ph2026
Efficient Preparation of Quantum States via Randomized Truncation
Yue Wang, Xiao-Ming Zhang, Xiao Yuan +1
While the preparation of a general quantum state is challenging, realistic problem instances, such as those encountered in quantum chemistry and quantum machine learning-typically…
quant-ph2026
Randomization Accelerates Series-Truncated Quantum Algorithms
Yue Wang, Qi Zhao
Quantum algorithms typically demand prohibitively complicated circuits to solve practical problems. Previous studies have shown that classical randomness can accelerate some specif…