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A 16-bit Coherent Ising Machine for One-Dimensional Ring and Cubic Graph Problems.

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Researchers developed a 16-bit coherent Ising machine using optical parametric oscillators. This novel system achieves high success rates for complex optimization problems, offering a new path for advanced computation.

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Area of Science:

  • Quantum computing
  • Optical physics
  • Computational complexity

Background:

  • Combinatorial optimization problems are crucial in modern tasks like planning and circuit design.
  • These problems are often mapped to finding the ground state of the Ising Hamiltonian.
  • Coherent Ising machines (CIMs) are emerging as powerful physical solvers for these problems.

Purpose of the Study:

  • To report a 16-bit coherent Ising machine (CIM).
  • To demonstrate the CIM's effectiveness in solving complex optimization problems.
  • To explore methods for enhancing CIM computational performance.

Main Methods:

  • Utilized a network of time-division-multiplexed femtosecond degenerate optical parametric oscillators.
  • Implemented gradual pumping and leveraged multiple spectral and temporal modes of femtosecond pulses.
  • Tested the system on one-dimensional Ising ring and nondeterministic polynomial-time (NP) hard instances.

Main Results:

  • Achieved over 99.6% success rates for tested Ising ring and NP-hard instances.
  • Demonstrated the positive impact of gradual pumping and multi-modal femtosecond pulses on performance.
  • Validated the CIM's potential for solving complex computational problems.

Conclusions:

  • The developed 16-bit CIM shows high efficacy for solving optimization problems.
  • Gradual pumping and multi-modal pulse manipulation enhance CIM computational performance.
  • This work presents a promising approach for tackling larger and more complex computational instances.