ZX-calculus Thesis.pdf

Memoria_TFM-JanNogue.pdf
Preview of ZX-calculus Thesis
🔗 Source: diposit.ub.edu
📊 Size: 1.94 MB
📄 Pages: 33 pages
⬇️ Downloads: 158

Summary

A Reinforcement Learning (RL) approach is developed for quantum circuit optimization using the ZX-calculus formalism, with the agent trained using Proximal Policy Optimization (PPO) and Conditional Action Trees for Invalid Action Masking. The RL algorithm is compared to a Genetic Algorithm and the PyZX library, showing competitive results but requiring further exploration.

Description

A Reinforcement Learning (RL) approach is developed for quantum circuit optimization using the ZX-calculus formalism, with the agent trained using Proximal...

Technical Information

  • File Format: PDF
  • File Size: 1.94 MB
  • Pages: 33
  • Language: EN
  • Total Downloads: 158
  • Last Updated: 3 weeks ago

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