15 citations · 30 across the 8 of their papers we have counts for
8 papers
Analytical Series Expansion for Efficient Gradient Evaluation in Multi-Qubit Optimal Control
Ashutosh Mishra, Elena Lupo, Frank K. Wilhelm +1
Gradient-based quantum optimal control and the theory of operator evolution are rarely discussed together. In this Letter, we bridge this gap by showing that the gradient of the ti…
End-to-End Quantum Algorithm for Topology Optimization in Structural Mechanics
Leonhard Hölscher, Oliver Ahrend, Lukas Karch +5
Topology optimization is a key methodology in engineering design for finding efficient and robust structures. Due to the enormous size of the design space, evaluating all possible…
Towards Quantum Algorithms for the Optimization of Spanning Trees: The Power Distribution Grids Use Case
Carsten Hartmann, Nil Rodellas-Gràcia, Christian Wallisch +5
Optimizing the topology of networks is an important challenge across engineering disciplines. In energy systems, network reconfiguration can substantially reduce losses and costs a…
Non-Markovian Ensemble Propagation
Miralem Sinanović, Alessandro Ciani, Shai Machnes +1
Open quantum systems are ubiquitous in nature and central to quantum technologies. A common description of their dynamics is given by the celebrated Lindblad master equation, which…
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…
Calculating response functions of coupled oscillators using quantum phase estimation
Sven Danz, Mario Berta, Stefan Schröder +3
We study the problem of estimating frequency response functions of systems of coupled, classical harmonic oscillators using a quantum computer. The functional form of these respons…
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…
Emergence of noise-induced barren plateaus in arbitrary layered noise models
Marco Schumann, Frank K. Wilhelm, Alessandro Ciani
In variational quantum algorithms the parameters of a parameterized quantum circuit are optimized in order to minimize a cost function that encodes the solution of the problem. The…