Quantum Reinforcement Learning for Qiskit Aqua

[stefan-woerner]

Abstract

Develop a framework for quantum reinforcement learning (RL) for Qiskit Aqua, e.g., based on Q-learning as shown here: https://arxiv.org/pdf/1907.00397.pdf RL finds applications in optimal control, logistics, finance, and many other application areas. These problems usually suffer from the curse of dimensionality, which prevents computing the optimal policies. Quantum computers may have the potential to help by being able to represent exponentially large value functions / q-functions.

Members

• Maximilian Moll
• Leonhard Kunczik
• Su Yeon Chang
• Sadra Boreiri
• Giancarlo Gatti
  • IBM Coach: @stefan-woerner

Deliverable

A Qiskit Aqua algorithm + required components

GitHub repo

https://github.com/stefan-woerner/qiskit-aqua/tree/quantum_reinforcement_learning

[l45k]

Please add Maximilian Moll and Leonhard Kunczik as members to the team.

[stefan-woerner]

Please add Maximilian Moll and Leonhard Kunczik as members to the team.

done.

[BoschSamuel]

Hey @stefan-woerner , could you add me to this group? Thank you :)

[sychang42]

Hello @stefan-woerner, could you also add me (Su Yeon CHANG) to this group? Thank you!!

[SadraBoreiri]

@stefan-woerner, Hi, I am also interested in this project :)

[stefan-woerner]

added all of you, group is full now.

[moellerl]

add Giancarlo Gatti as a member