152 citations · 291 across the 6 of their papers we have counts for
6 papers
Robust quantum computational advantage with programmable 3050-photon Gaussian boson sampling
Hua-Liang Liu, Hao Su, Si-Qiu Gong +34
The creation of large-scale, high-fidelity quantum computers is not only a fundamental scientific endeavour in itself, but also provides increasingly robust proofs of quantum compu…
Enhanced Image Recognition Using Gaussian Boson Sampling
Si-Qiu Gong, Ming-Cheng Chen, Hua-Liang Liu +13
Gaussian boson sampling (GBS) has emerged as a promising quantum computing paradigm, demonstrating its potential in various applications. However, most existing works focus on theo…
High-efficiency single-photon source above the loss-tolerant threshold for efficient linear optical quantum computing
Xing Ding, Yong-Peng Guo, Mo-Chi Xu +13
Photon loss is the biggest enemy for scalable photonic quantum information processing. This problem can be tackled by using quantum error correction, provided that the overall phot…
Gaussian Boson Sampling with Pseudo-Photon-Number Resolving Detectors and Quantum Computational Advantage
Yu-Hao Deng, Yi-Chao Gu, Hua-Liang Liu +26
We report new Gaussian boson sampling experiments with pseudo-photon-number-resolving detection, which register up to 255 photon-click events. We consider partial photon distinguis…
Unconditional and robust quantum metrological advantage beyond NOON states
Jian Qin, Yu-Hao Deng, Han-Sen Zhong +13
Quantum metrology employs quantum resources to enhance the measurement sensitivity beyond that can be achieved classically. While multi-photon entangled NOON states can in principl…
Solving Graph Problems Using Gaussian Boson Sampling
Yu-Hao Deng, Si-Qiu Gong, Yi-Chao Gu +21
Gaussian boson sampling (GBS) is not only a feasible protocol for demonstrating quantum computational advantage, but also mathematically associated with certain graph-related and q…