131 citations · 421 across the 20 of their papers we have counts for
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Quantum combinatorial optimization beyond the variational paradigm: simple schedules for hard problems
Tim Bode, Krish Ramesh, Tobias Stollenwerk
Advances in quantum algorithms suggest a tentative scaling advantage on certain combinatorial optimization problems. Recent work, however, has also reinforced the idea that barren…
Warm Start of Variational Quantum Algorithms for Quadratic Unconstrained Binary Optimization Problems
Yahui Chai, Karl Jansen, Stefan Kühn +2
Variational Quantum Eigensolver (VQE) is widely used in near-term hardware. However, their performances remain limited by the poor trainability and are dependent on random paramete…
Quantum-Inspired Fluid Simulation of 2D Turbulence with GPU Acceleration
Leonhard Hölscher, Pooja Rao, Lukas Müller +4
Tensor network algorithms can efficiently simulate complex quantum many-body systems by utilizing knowledge of their structure and entanglement. These methodologies have been adapt…
Measurement-Based Quantum Approximate Optimization
Tobias Stollenwerk, Stuart Hadfield
Parameterized quantum circuits are attractive candidates for potential quantum advantage in the near term and beyond. At the same time, as quantum computing hardware not only conti…
Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing
Wolfgang Maass, Ankit Agrawal, Alessandro Ciani +14
Quantum computing (QC) and machine learning (ML), taken individually or combined into quantum-assisted ML (QML), are ascending computing paradigms whose calculations come with huge…