QuCAI-Lab

Quantum-Classical Artificial Intelligence Laboratory

Bridging the Gap Between Theory and Implementation of Quantum Computing and Machine Learning

  Open Source Projects

• Dev Tools:

  • Conda Essentials.
  • GitHub Essentials.
  • Linux Essentials.

• Foundations of Quantum Computing:

  • Linear Algebra for Quantum Computing
  • Quantum Circuit Theory and Implementations
  • Open Quantum Systems

• Circuit Quantum Electrodynamics:

  • Circuit Quantum Electrodynamics (cQED)

• Classical Machine Learning:

  • Finding the Transmon Regime with DDPG Algorithm
  • The World of RL - Short Notes on Reinforcement Learning
  • Vanilla NumPy MLP neural network with SGD and Backpropagation
  • Neural network theory and backpropagation algorithm equations

• Quantum Machine Learning:

  • Extending Adaptive Methods for Finding an Optimal Circuit Ansatze in VQE Optimization
  • Adaptive Quantum Kernel Alignment for data Classification

• Challenges

  • Quantum Algorithm Grand Challenge - QunaSys
  • Qiskit Global Summer School 2022
  • IBM Quantum Spring Challenge 2022
  • QHack2022 Coding Challenges
  • IBM 2021 Open Science Prize