Gaussian Boson Sampling with Pseudo-Photon-Number Resolving Detectors and Quantum Computational Advantage

التفاصيل البيبلوغرافية
العنوان: Gaussian Boson Sampling with Pseudo-Photon-Number Resolving Detectors and Quantum Computational Advantage
المؤلفون: Deng, Yu-Hao, Gu, Yi-Chao, Liu, Hua-Liang, Gong, Si-Qiu, Su, Hao, Zhang, Zhi-Jiong, Tang, Hao-Yang, Jia, Meng-Hao, Xu, Jia-Min, Chen, Ming-Cheng, Qin, Jian, Peng, Li-Chao, Yan, Jiarong, Hu, Yi, Huang, Jia, Li, Hao, Li, Yuxuan, Chen, Yaojian, Jiang, Xiao, Gan, Lin, Yang, Guangwen, You, Lixing, Li, Li, Zhong, Han-Sen, Wang, Hui, Liu, Nai-Le, Renema, Jelmer J., Lu, Chao-Yang, Pan, Jian-Wei
سنة النشر: 2023
المجموعة: Quantum Physics
مصطلحات موضوعية: Quantum Physics
الوصف: 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 distinguishability and develop a more complete model for the characterization of the noisy Gaussian boson sampling. In the quantum computational advantage regime, we use Bayesian tests and correlation function analysis to validate the samples against all current classical mockups. Estimating with the best classical algorithms to date, generating a single ideal sample from the same distribution on the supercomputer Frontier would take ~ 600 years using exact methods, whereas our quantum computer, Jiuzhang 3.0, takes only 1.27 us to produce a sample. Generating the hardest sample from the experiment using an exact algorithm would take Frontier ~ 3.1*10^10 years.
Comment: PRL 2023 to appear
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2304.12240
رقم الأكسشن: edsarx.2304.12240
قاعدة البيانات: arXiv