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Published 20 hours ago • verified publisher icon qiskit-community

Quantum Reinforcement Learning for Qiskit Aqua

Open stefan-woerner opened this issue 4 years ago • 7 comments

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

stefan-woerner avatar Sep 12 '19 04:09 stefan-woerner

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

l45k avatar Sep 12 '19 05:09 l45k

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

done.

stefan-woerner avatar Sep 12 '19 05:09 stefan-woerner

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

BoschSamuel avatar Sep 12 '19 09:09 BoschSamuel

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

sychang42 avatar Sep 12 '19 15:09 sychang42

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

SadraBoreiri avatar Sep 12 '19 17:09 SadraBoreiri

added all of you, group is full now.

stefan-woerner avatar Sep 12 '19 20:09 stefan-woerner

add Giancarlo Gatti as a member

moellerl avatar Sep 13 '19 09:09 moellerl