211 citations · 293 across the 10 of their papers we have counts for
11 papers
Kubernetes-Orchestrated Hybrid Quantum-Classical Workflows
Mar Tejedor, Michele Grossi, Cenk Tüysüz +2
Hybrid quantum-classical workflows combine quantum processing units (QPUs) with classical hardware to address computational tasks that are challenging or infeasible for conventiona…
Expressive equivalence of classical and quantum restricted Boltzmann machines
Maria Demidik, Cenk Tüysüz, Nico Piatkowski +2
Quantum computers offer the potential for efficiently sampling from complex probability distributions, attracting increasing interest in generative modeling within quantum machine…
Imaginary Hamiltonian variational ansatz for combinatorial optimization problems
Xiaoyang Wang, Yahui Chai, Xu Feng +3
Obtaining exact solutions to combinatorial optimization problems using classical computing is computationally expensive. The current tenet in the field is that quantum computers ca…
Symmetry breaking in geometric quantum machine learning in the presence of noise
Cenk Tüysüz, Su Yeon Chang, Maria Demidik +3
Geometric quantum machine learning based on equivariant quantum neural networks (EQNN) recently appeared as a promising direction in quantum machine learning. Despite the encouragi…
Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group
Alberto Di Meglio, Karl Jansen, Ivano Tavernelli +43
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage…
Quantum algorithms for charged particle track reconstruction in the LUXE experiment
Arianna Crippa, Lena Funcke, Tobias Hartung +8
The LUXE experiment is a new experiment in planning in Hamburg, which will study Quantum Electrodynamics at the strong-field frontier. LUXE intends to measure the positron producti…
Classical Splitting of Parametrized Quantum Circuits
Cenk Tüysüz, Giuseppe Clemente, Arianna Crippa +3
Barren plateaus appear to be a major obstacle to using variational quantum algorithms to simulate large-scale quantum systems or replace traditional machine learning algorithms. Th…
Gravitational-wave matched filtering on a quantum computer
Doğa Veske, Cenk Tüysüz, Mirko Amico +6
State of the art quantum computers have very limited applicability for accurate calculations. Here we report the first experimental demonstration of qubit-based matched filtering f…
Impact of quantum noise on the training of quantum Generative Adversarial Networks
Kerstin Borras, Su Yeon Chang, Lena Funcke +8
Current noisy intermediate-scale quantum devices suffer from various sources of intrinsic quantum noise. Overcoming the effects of noise is a major challenge, for which different e…
Studying quantum algorithms for particle track reconstruction in the LUXE experiment
Lena Funcke, Tobias Hartung, Beate Heinemann +7
The LUXE experiment (LASER Und XFEL Experiment) is a new experiment in planning at DESY Hamburg, which will study Quantum Electrodynamics (QED) at the strong-field frontier. In thi…
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
Cenk Tüysüz, Carla Rieger, Kristiane Novotny +6
The Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN) will be upgraded to further increase the instantaneous rate of particle collisions (luminos…