20 citations · 20 across the 9 of their papers we have counts for
9 papers
Optomechanical systems with a Fano membrane in the middle
Lei Du, Aymeric Frerejean, Witlef Wieczorek +2
Conventional membrane-in-the-middle (MIM) optomechanical systems offer limited control over the optical linewidth, which can limit their performance when operating in the unresolve…
Nonlinear quantum optomechanics in a Fano-mirror microcavity system
Lei Du, Juliette Monsel, Witlef Wieczorek +1
We study a Fano-mirror optomechanical system in the quantum nonlinear regime. In this system, two strongly lossy optical modes hybridize through both coherent and dissipative coupl…
Exotic collective behaviors of giant quantum emitters in two-dimensional baths
Qing-Yang Qiu, Wen Huang, Lei Du +1
Nonlocal light-matter interactions with giant atoms in high-dimensional environments are not only fundamentally intriguing for testing quantum electrodynamics beyond the dipole app…
Single-Period Floquet Control of Bosonic Codes with Quantum Lattice Gates
Tangyou Huang, Lei Du, Lingzhen Guo
Bosonic codes constitute a promising route to fault-tolerant quantum computing. Existing Floquet protocols enable analytical construction of bosonic codes but typically rely on slo…
Remote entanglement generation via enhanced quantum state transfer
Tian-Le Wang, Peng Wang, Ze-An Zhao +16
Achieving robust and scalable remote quantum entanglement is a fundamental challenge for the development of distributed quantum networks and modular quantum computing systems. Alon…
Demonstrating Coherent Quantum Routers for Bucket-Brigade Quantum Random Access Memory on a Superconducting Processor
Sheng Zhang, Yun-Jie Wang, Peng Wang +19
Quantum routers (QRouters) are essential components of bucket-brigade quantum random access memory (QRAM), enabling quantum applications such as Grover's search and quantum machine…
Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor
Hai-Feng Zhang, Zhao-Yun Chen, Peng Wang +17
Quantum machine learning (QML) models, like their classical counterparts, are vulnerable to adversarial attacks, hindering their secure deployment. Here, we report the first system…
Realizing Scalable Conditional Operations through Auxiliary Energy Levels
Sheng Zhang, Peng Duan, Yun-Jie Wang +19
In the noisy intermediate-scale quantum (NISQ) era, flexible quantum operations are essential for advancing large-scale quantum computing, as they enable shorter circuits that miti…
Enabling Large-Scale and High-Precision Fluid Simulations on Near-Term Quantum Computers
Zhao-Yun Chen, Teng-Yang Ma, Chuang-Chao Ye +29
Quantum computational fluid dynamics (QCFD) offers a promising alternative to classical computational fluid dynamics (CFD) by leveraging quantum algorithms for higher efficiency. T…