Creating Quantum Utility Maximization Problems using Quantum Reinforcement Learning

[FinnyLime]

Team Name:

Dynamic Quantum World

Project Description:

Project Description:
In general markets, the competitive equilibrium, or more generally, Dynamic Stochastic General Equilibrium (DSGE) is characterized by a set of state variables and the consumption and production plans of each agent to maximize the utility. Such utility maximization problem has been traditionally dealt with Lagrangian methods. In this Hackathon project, we demonstrate a quantum approach to solving utility maximization problem. Specifically, we employed Quantum Reinforcement Learning to train the policy that determines the agent's actions.
Challenges:

Presentation:

https://github.com/FinnyLime/Quantum-DSGE/blob/main/Utility%20Maximization%20with%20QRL.ipynb

Source code:

https://github.com/FinnyLime/Quantum-DSGE

Which challenges/prizes would you like to submit your project for?

Quantum Finance Challenge
IBM Qiskit Challenge
Hybrid Algorithms Challenge
Young Scientist Challenge
QAOA Challenge