A quantum-inspired tensor network algorithm for constrained combinatorial optimization problems

HIGHLIGHTS

  • who: Tianyi Hao and collaborators from the Department of Computer Science, Stanford University, Stanford, CA, United States, Department of Applied Physics, Stanford have published the paper: A Quantum-Inspired Tensor Network Algorithm for Constrained Combinatorial Optimization Problems, in the Journal: (JOURNAL)
  • what: The authors implement the algorithm for the mining problem as an open source Python library, available at . The authors compare the results produced with the optimal solution given by Pseudoflow.
  • how: This paper presents a quantum-inspired tensor network algorithm to solve constrained combinatorial optimization problems and demonstrates the algorithm with . . .

     

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