6 papers
Weak Permanent Anti-Concentration for Random Gaussian Matrices in Boson Sampling
Fei Meng, Bin Cheng, Jianan Li +1
Recent demonstrations of quantum computational advantage have been driven largely by sampling problems. A prominent model, boson sampling, involves sampling from the output distrib…
Barren Plateaus Beyond Observable Concentration
Zi-Shen Li, Bujiao Wu, Xiao-Wei Li +1
Parameterized quantum circuits (PQCs) are central to quantum machine learning and near-term quantum simulation, but their scalability is often hindered by barren plateaus (BPs), wh…
Generalized Cross-Entropy Benchmarking for Random Circuits with Ergodicity
Bin Cheng, Fei Meng, Zhi-Jiong Zhang +1
Cross-entropy benchmarking is a central technique used to certify a quantum chip in recent experiments. To better understand its mathematical foundation and develop new benchmarkin…
Efficient learning of mixed-state tomography for photonic quantum walk
Qin-Qin Wang, Shaojun Dong, Xiao-Wei Li +7
Noise-enhanced applications in open quantum walk (QW) have recently seen a surge due to their ability to improve performance. However, verifying the success of open QW is challengi…
Super-Robust Nonadiabatic Holonomic Quantum Computation in coherence-protected Superconducting Circuits
Yuan-Sheng Wang, Zhaofeng Su, Xiaosong Chen +1
The schmeme of nonadiabatic holonomic quantum computation (NHQC) offers an error-resistant method for implementing quantum gates, capable of mitigating certain errors. However, the…
Simulating the Schwinger Model with a Regularized Variational Quantum Imaginary Time Evolution
Xiao-Wei Li, Fei Li, Jiapei Zhuang +1
The Schwinger model serves as a benchmark for testing non-perturbative algorithms in quantum chromodynamics (QCD), emphasizing its similarities to QCD in strong coupling regimes, p…