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Found 7 papers, 4 papers with code
Warm-Start Variational Quantum Policy Iteration
This objective can be achieved using policy iteration, which requires to solve a typically large linear system of equations.
Comprehensive Library of Variational LSE Solvers
Linear systems of equations can be found in various mathematical domains, as well as in the field of machine learning.
Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
Quantum computer simulation software is an integral tool for the research efforts in the quantum computing community.
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients
We introduce a novel approach that uses the approximated gradient from SPSA in combination with state-of-the-art gradient-based classical optimizers.
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning
Reinforcement learning is a growing field in AI with a lot of potential.
A Survey on Quantum Reinforcement Learning
Quantum reinforcement learning is an emerging field at the intersection of quantum computing and machine learning.
Incremental Data-Uploading for Full-Quantum Classification
Encoding high dimensional data into a quantum circuit for a NISQ device without any loss of information is not trivial and brings a lot of challenges.
