arXiv Artificial Intelligence

Reinforcement learning for Quantum Tiq-Taq-Toe

1 hour ago 11.09.2026 07:00 👁 1 views
Reinforcement learning for Quantum Tiq-Taq-Toe

Quick summary

arXiv:2411.06429v2 Announce Type: replace Abstract: Quantum Tiq-Taq-Toe is a well-known benchmark and playground for both quantum computing and machine learning. Despite its popularity, no reinforcement learning (RL) methods have been applied to Quantum Tiq-Taq-Toe. Although there has been some research on Quantum Chess this game is significantly more complex in terms of computation and analysis. Therefore, we study the combination of quantum computing and reinforcement learning in Quantum Tiq-Taq-Toe, which may serve as an accessible testbed for the integration of both fields. Quantum games a

Key takeaways

  • arXiv:2411.06429v2 Announce Type: replace Abstract: Quantum Tiq-Taq-Toe is a well-known benchmark and playground for both quantum computing and machine learning.
  • Despite its popularity, no reinforcement learning (RL) methods have been applied to Quantum Tiq-Taq-Toe.
  • Although there has been some research on Quantum Chess this game is significantly more complex in terms of computation and analysis.

Why it matters

“Reinforcement learning for Quantum Tiq-Taq-Toe” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗