306 citations · 451 across the 18 of their papers we have counts for
18 papers
Discovering Data Encoding Strategies for Quantum-Classical Neural Networks Using Monte Carlo Tree Search
Lena Tokuhiro, Amine Bentellis, Jeanette Miriam Lorenz
Quantum machine learning (QML) has attracted considerable research interest, yet whether it offers practical benefits over classical approaches remains an open question. The choice…
The QuaST Decision Tree: Achieving Automation With Data-Based Recommendations
Benedikt Poggel, Lena Tokuhiro, Georg Kruse +1
Quantum computers are increasingly powerful. Software tools for the development of quantum-enhanced algorithms are maturing. However, the software stack still lacks the connection…
Benchmarking the Variational Quantum Eigensolver using different quantum hardware
Amine Bentellis, Andrea Matic-Flierl, Christian B. Mendl +1
The Variational Quantum Eigensolver (VQE) is a promising quantum algorithm for applications in chemistry within the Noisy Intermediate-Scale Quantum (NISQ) era. The ability for a q…
Pooling techniques in hybrid quantum-classical convolutional neural networks
Maureen Monnet, Hanady Gebran, Andrea Matic-Flierl +4
Quantum machine learning has received significant interest in recent years, with theoretical studies showing that quantum variants of classical machine learning algorithms can prov…
Quantum-Assisted Solution Paths for the Capacitated Vehicle Routing Problem
Lilly Palackal, Benedikt Poggel, Matthias Wulff +3
Many relevant problems in industrial settings result in NP-hard optimization problems, such as the Capacitated Vehicle Routing Problem (CVRP) or its reduced variant, the Travelling…
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection
Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz +2
As the use of machine learning continues to expand, the importance of ensuring its safety cannot be overstated. A key concern in this regard is the ability to identify whether a gi…
The ECFA Early Career Researcher's Panel: composition, structure, and activities, 2021 -- 2022
ECFA Early-Career Researcher Panel, :, Andrei Alexandru Geanta +74
The European Committee for Future Accelerators (ECFA) Early Career Researcher's (ECR) panel, which represents the interests of the ECR community to ECFA, officially began its activ…
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…
Results of the 2021 ECFA Early-Career Researcher Survey on Training in Instrumentation
ECFA Early-Career Researcher Panel, :, Anamika Aggarwal +74
The European Committee for Future Accelerators (ECFA) Early-Career Researchers (ECR) Panel was invited by the ECFA Detector R&D Roadmap conveners to collect feedback from the Europ…
Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2
Waleed Abdallah, Shehu AbdusSalam, Azar Ahmadov +139
We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpret…
Supersymmetry and the collider Dark Matter picture
Jeanette Miriam Lorenz
One of the key questions in particle physics and astrophysics is the nature of dark matter, which existence has been confirmed in many astrophysical and cosmological observations.…
HistFitter software framework for statistical data analysis
M. Baak, G. J. Besjes, D. Cote +3
We present a software framework for statistical data analysis, called HistFitter, that has been used extensively by the ATLAS Collaboration to analyze big datasets originating from…
Estimation of SM backgrounds to SUSY search in the 1-lepton + jets + MET channel
Jeanette M. Lorenz
The ATLAS Collaboration has reported the first results of the search for SUSY particles in 1-lepton + 3 jets + MET final states. An essential ingredient for these results is a reli…