activity
20232025
most citedQuarl: A Learning-Based Quantum Circuit Optimizer

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

quant-ph2025

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…

quant-ph2025

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…

quant-ph2024

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…

physics.comp-ph2024

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…

quant-ph20232 cited

Quarl: A Learning-Based Quantum Circuit Optimizer

Zikun Li, Jinjun Peng, Yixuan Mei +4

Optimizing quantum circuits is challenging due to the very large search space of functionally equivalent circuits and the necessity of applying transformations that temporarily dec…