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26 April 2024 |
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Phase-Programmable Gaussian Boson Sampling Using Stimulated Squeezed Light | | Han-Sen Zhong
; Yu-Hao Deng
; Jian Qin
; Hui Wang
; Ming-Cheng Chen
; Li-Chao Peng
; Yi-Han Luo
; Dian Wu
; Si-Qiu Gong
; Hao Su
; Yi Hu
; Peng Hu
; Xiao-Yan Yang
; Wei-Jun Zhang
; Hao Li
; Yuxuan Li
; Xiao Jiang
; Lin Gan
; Guangwen Yang
; Lixing You
; Zhen Wang
; Li Li
; Nai-Le Liu
; Jelmer Renema
; Chao-Yang Lu
; Jian-Wei Pan
; | | Date: |
29 Jun 2021 | | Abstract: | The tantalizing promise of quantum computational speedup in solving certain
problems has been strongly supported by recent experimental evidence from a
high-fidelity 53-qubit superconducting processor1 and Gaussian boson sampling
(GBS) with up to 76 detected photons. Analogous to the increasingly
sophisticated Bell tests that continued to refute local hidden variable
theories, quantum computational advantage tests are expected to provide
increasingly compelling experimental evidence against the Extended
Church-Turing thesis. In this direction, continued competition between upgraded
quantum hardware and improved classical simulations is required. Here, we
report a new GBS experiment that produces up to 113 detection events out of a
144-mode photonic circuit. We develop a new high-brightness and scalable
quantum light source, exploring the idea of stimulated squeezed photons, which
has simultaneously near-unity purity and efficiency. This GBS is programmable
by tuning the phase of the input squeezed states. We demonstrate a new method
to efficiently validate the samples by inferring from computationally friendly
subsystems, which rules out hypotheses including distinguishable photons and
thermal states. We show that our noisy GBS experiment passes the
nonclassicality test using an inequality, and we reveal non-trivial genuine
high-order correlation in the GBS samples, which are evidence of robustness
against possible classical simulation schemes. The photonic quantum computer,
Jiuzhang 2.0, yields a Hilbert space dimension up to $10^{43}$, and a sampling
rate $10^{24}$ faster than using brute-force simulation on supercomputers. | | Source: | arXiv, 2106.15534 | | Services: | Forum | Review | PDF | Favorites | |
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