Corpus ID: 244800773

Quantum Computational Phase Transition in Combinatorial Problems

@inproceedings{Zhang2021QuantumCP,
  title={Quantum Computational Phase Transition in Combinatorial Problems},
  author={Bingzhi Zhang and Akira Sone and Quntao Zhuang},
  year={2021}
}
  • Bingzhi Zhang, Akira Sone, Quntao Zhuang
  • Published 27 September 2021
  • Physics, Computer Science
Quantum Approximate Optimization algorithm (QAOA) is one of the candidates to achieve a near-term quantum advantage. To search for such a quantum advantage in solving any problem, it is crucial to first understand the difference between problem instances’ empirical hardness for QAOA and classical algorithms. We identify a computational phase transition of QAOA when solving hard problems such as 3-SAT—the performance is worst at the well-known SAT-UNSAT phase transition, where the hardest… Expand

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