Bloch dynamics 1geometric quantum gates 1physics-informed neural networks 1quantum optimal control 1single-qubit gate synthesis 1
From the 1 of 3 linked papers with an AI index.
3 papers
quant-ph2026
Evolution-Level Quantum Optimal Control of Single-Qubit Gates with Physics-Informed Neural Networks
Yao Du, Jian-Jian Cheng, Lin Zhang +2
The paper introduces physics-informed neural networks to jointly learn control fields, Bloch-state trajectories, and gate duration for single‑qubit gate synthesis, enabling interpr…
quant-ph2026
Quantum Origin of Diffraction from Bright and Dark States
Jian-Jian Cheng, Jun-Ling Che, Lin Zhang +1
Building upon the recently introduced particle interpretation of the double-slit experiment [Phys. Rev. Lett. 134, 133603 (2025)] which attributes interference phenomena to detecto…
quant-ph2025
Diversity of Superradiant Phase Transitions in the Bose-Fermi System under Tight-Binding Model in the Weak-Coupling Regime
Xing Su, Jian-Jian Cheng, Lin Zhang
We present a comprehensive analysis of the dynamic diversity associated with superradiant phase transitions within a one-dimensional tight-binding electronic chain that is intrinsi…