6 papers
Anisotropic Rabi Model as a Noise Biased Qubit
Jia-Wen Yu, Ke-Xiong Yan, Yuan Qiu +7
We present the quantum anisotropic Rabi model as a potential resource for a noise biased qubit. The system-environment coupling can be biased by tuning the relative strengths of th…
Optical Neural Networks from Coherent Transient Dynamics in Waveguide QED
Jiande Cao, Yexiong Zeng, Franco Nori +1
Optical neural networks promise ultrafast, low-energy information processing by performing computation directly with photons. Current implementations, however, are largely restrict…
Quantum Error Correction with Superpositions of Squeezed Fock States
Yexiong Zeng, Fernando QuijandrÃa, Clemens Gneiting +1
Bosonic codes, leveraging infinite-dimensional Hilbert spaces for redundancy, offer great potential for encoding quantum information. However, the realization of a practical contin…
Neural network approach to mitigating intra-gate crosstalk in superconducting CZ gates
Yiming Yu, Yexiong Zeng, Ye-Hong Chen +2
The potential of quantum computing is fundamentally constrained by the inherent susceptibility of qubits to noise and crosstalk, particularly during multi-qubit gate operations. Ex…
Neural Network-Based Design of Approximate Gottesman-Kitaev-Preskill Code
Yexiong Zeng, Wei Qin, Ye-Hong Chen +2
Gottesman-Kitaev-Preskill (GKP) encoding holds promise for continuous-variable fault-tolerant quantum computing. While an ideal GKP encoding is abstract and impractical due to its…
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…