3 papers
quant-ph2026
Evaluating noises of fast-simulated boson sampling with statistical benchmark methods
Yang Ji, Yongjin Ye, Qiao Wang +5
It is important to know noise levels of boson sampling in order to cautiously demonstrate the quantum computational advantage or realize certain tasks. Based on those statistical b…
quant-ph2026
Extended validations on photon number resolving detector based Gaussian boson sampling with low noises
Yang Ji, Yongzheng Wu, Shi Wang +3
Gaussian boson sampling (GBS) is a variety of boson sampling overcoming the stable single-photon preparation difficulty of the later. However, like those in the original version, n…
quant-ph2024
Extension of a Pattern Recognition Validation Approach for Noisy Boson Sampling
Yang Ji, Yongzheng Wu, Shi Wang +3
Boson sampling is one of the main quantum computation models to demonstrate the quantum computational advantage. However, this aim may be hard to realize considering two main kinds…