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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Quantum computational advantage using photons.

Han-Sen Zhong1,2, Hui Wang1,2, Yu-Hao Deng1,2

  • 1Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China.

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The quantum computer Jiuzhang demonstrated quantum computational advantage by performing Gaussian boson sampling. This photonic quantum computing approach significantly outperforms classical supercomputers in speed and complexity.

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Area of Science:

  • Quantum Computing
  • Quantum Optics
  • Computational Complexity

Background:

  • Quantum computers offer potential solutions for intractable computational problems.
  • Boson sampling is a key task for demonstrating quantum computational advantage.

Purpose of the Study:

  • To perform Gaussian boson sampling using a large-scale photonic quantum computer.
  • To validate the quantum computational advantage of the Jiuzhang photonic quantum computer.

Main Methods:

  • Utilized a 100-mode ultralow-loss interferometer with 50 single-mode squeezed states.
  • Employed 100 high-efficiency single-photon detectors for output sampling.
  • Validated results against hypotheses for thermal states, distinguishable photons, and uniform distribution.

Main Results:

  • Achieved up to 76 output photon clicks, exploring a state-space dimension of 10^30.
  • Demonstrated a sampling rate approximately 10^14 times faster than state-of-the-art classical simulations.
  • Validated the quantum nature of the generated samples.

Conclusions:

  • The Jiuzhang photonic quantum computer successfully demonstrated quantum computational advantage.
  • Gaussian boson sampling is a viable pathway for achieving quantum supremacy.
  • This work paves the way for more powerful quantum information processing technologies.