24 citations · 60 across the 15 of their papers we have counts for
6 papers · 2 filters
Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices
Theodora-Augustina Drăgan, Maureen Monnet, Christian B. Mendl +1
Quantum reinforcement learning (QRL) models augment classical reinforcement learning schemes with quantum-enhanced kernels. Different proposals on how to construct such models empi…
Recommending Solution Paths for Solving Optimization Problems with Quantum Computing
Benedikt Poggel, Nils Quetschlich, Lukas Burgholzer +2
Solving real-world optimization problems with quantum computing requires choosing between a large number of options concerning formulation, encoding, algorithm and hardware. Findin…
A Comparative Study On Solving Optimization Problems With Exponentially Fewer Qubits
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
Variational Quantum optimization algorithms, such as the Variational Quantum Eigensolver (VQE) or the Quantum Approximate Optimization Algorithm (QAOA), are among the most studied…
Evaluating the impact of noise on the performance of the Variational Quantum Eigensolver
Marita Oliv, Andrea Matic, Thomas Messerer +1
Quantum computers are expected to be highly beneficial for chemistry simulations, promising significant improvements in accuracy and speed. The most prominent algorithm for chemist…
Quantum Robustness Verification: A Hybrid Quantum-Classical Neural Network Certification Algorithm
Nicola Franco, Tom Wollschlaeger, Nicholas Gao +2
In recent years, quantum computers and algorithms have made significant progress indicating the prospective importance of quantum computing (QC). Especially combinatorial optimizat…
Quantum-classical convolutional neural networks in radiological image classification
Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz +2
Quantum machine learning is receiving significant attention currently, but its usefulness in comparison to classical machine learning techniques for practical applications remains…