7 papers
Kerr-enhanced optomechanical entanglement generation via reservoir design
Yan Li, Cheng Liu, Yu-Hong Liu +2
Quantum entanglement is a crucial resource in quantum technologies, enabling advancements in quantum computing, quantum communication, and quantum precision measurement. Here, we p…
Deterministic generation of nonclassical mechanical states in cavity optomechanics via reinforcement learning
Yu-Hong Liu, Qing-Shou Tan, Le-Man Kuang +1
Nonclassical mechanical states, as vital quantum resources for exploring macroscopic quantum behavior, have wide applications in the study of the fundamental quantum mechanics and…
Reshaping coupled bosonic networks: A bipartite-graph framework for optimal quantum excitation transfer
Cheng Liu, Yu-Hong Liu, Le-Man Kuang +2
Highly efficient transfer of quantum resources including quantum excitations, states, and information on coupled bosonic networks is an important task in quantum physics and quantu…
Chiral-cat-state generation via the Sagnac-Fizeau effect
Yu-Hong Liu, Xian-Li Yin, Hui Jing +2
Chiral quantum state generation is an interesting topic in quantum physics and quantum information science. Here we propose an approach for generating chiral cat states in a spinni…
Optimized mechanical quadrature squeezing beyond the 3-dB limit via a gradient-descent algorithm
Yu-Hong Liu, Jie-Qiao Liao
The preparation of mechanical quadrature-squeezed states holds significant importance in cavity optomechanics because the squeezed states have extensive applications in understandi…
Optimal control of linear Gaussian quantum systems via quantum learning control
Yu-Hong Liu, Yexiong Zeng, Qing-Shou Tan +3
Efficiently controlling linear Gaussian quantum (LGQ) systems is a significant task in both the study of fundamental quantum theory and the development of modern quantum technology…