7 citations · 19 across the 8 of their papers we have counts for
6 papers · 1 filter
Application of the Pontryagin Maximum Principle to the robust time-optimal control of two-level quantum systems
O. Fresse-Colson, S. Guérin, Xi Chen +1
We study the time-optimal robust control of a two-level quantum system subjected to field inhomogeneities. We apply the Pontryagin Maximum Principle and we introduce a reduced spac…
Variational quantum compiling for three-qubit gates design in quantum dots
Yuanyang Zhou, Huaxin He, Fengtao Pang +3
Semiconductor quantum dots offer a promising platform for controlling spin qubits and realizing quantum logic gates, essential for scalable quantum computing. In this work, we util…
Pulse-based variational quantum optimization and metalearning in superconducting circuits
Yapeng Wang, Yongcheng Ding, Francisco Andrés Cárdenas-López +1
Solving optimization problems using variational algorithms stands out as a crucial application for noisy intermediate-scale devices. Instead of constructing gate-based quantum comp…
Quantum Active Learning
Yongcheng Ding, Yue Ban, Mikel Sanz +2
Quantum machine learning, as an extension of classical machine learning that harnesses quantum mechanics, facilitates effiient learning from data encoded in quantum states. Trainin…
Dropout is all you need: robust two-qubit gate with reinforcement learning
Tian-Niu Xu, Yongcheng Ding, José D. Martín-Guerrero +1
In the realm of quantum control, reinforcement learning, a prominent branch of machine learning, emerges as a competitive candidate for computer-assisted optimal design for experim…
Weak-valued correlation functions: Insights and precise readout strategies
Yuan Feng, Xi Chen, Yongcheng Ding
The correlation function in quantum systems plays a vital role in decoding their properties and gaining insights into physical phenomena. Its interpretation corresponds to the prop…