7 citations · 19 across the 8 of their papers we have counts for
3 papers · 2 filters
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…