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We developed a universal, programmable quantum processor for Gaussian boson sampling (GBS). This photonic quantum device successfully solved a 32-node graph problem, advancing quantum computing for drug discovery.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Photonic Quantum Technologies

Background:

  • Gaussian boson sampling (GBS) offers potential for solving complex graph problems relevant to drug discovery.
  • Realizing quantum advantages necessitates large-scale, universally programmable quantum hardware.

Purpose of the Study:

  • To develop a universal, programmable, and software-scalable photonic quantum processor for GBS.
  • To demonstrate the processor's capability in solving graph problems and its application in drug discovery tasks.

Main Methods:

  • Development of a time-bin-encoded GBS photonic quantum processor.
  • Implementation of freely adjustable squeezing parameters and arbitrary unitary operations via a programmable interferometer.
  • Execution of clique finding on a 32-node graph.

Main Results:

  • Achieved approximately double the success probability for clique finding compared to classical sampling.
  • Demonstrated a versatile quantum drug discovery platform using the GBS processor.
  • Successfully performed molecular docking and RNA-folding prediction tasks.

Conclusions:

  • The developed GBS processor is universal, programmable, and software-scalable.
  • This work advances GBS circuitry and its application towards real-world problems, including drug discovery.
  • The universal architecture paves the way for practical quantum advantage in complex computational tasks.