191 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Siemens (Germany)DE16 papers
- University of RegensburgDE14 papers
- Institute for Information RecordingUA4 papers
- Karlsruhe Institute of TechnologyDE4 papers
- National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”UA4 papers
- Technical University of MunichDE4 papers
- University Hospital RegensburgDE4 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE3 papers
- Fraunhofer Institute for Integrated CircuitsDE3 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE3 papers
- Institute of PhysicsPL3 papers
- Ludwig-Maximilians-Universität MünchenDE3 papers
20 papers · 1 filter
Towards Quantum Software for Quantum Simulation
Maja Franz, Lukas Schmidbauer, Joshua Ammermann +2
Quantum simulation is a leading candidate for demonstrating practical quantum advantage over classical computation, as it is believed to provide exponentially more compute power th…
Predict and Conquer: Navigating Algorithm Trade-offs with Quantum Design Automation
Simon Thelen, Wolfgang Mauerer
Combining quantum computers with classical compute power has become a standard means for developing algorithms that are eventually supposed to beat any purely classical alternative…
CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting
Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer +1
Whether QML can offer a transformative advantage remains an open question. The severe constraints of NISQ hardware, particularly in circuit depth and connectivity, hinder both the…
QML Essentials -- A framework for working with Quantum Fourier Models
Melvin Strobl, Maja Franz, Eileen Kuehn +2
In this work, we propose a framework in the form of a Python package, specifically designed for the analysis of Quantum Machine Learning models. This framework is based on the Penn…
Make Some Noise! Measuring Noise Model Quality in Real-World Quantum Software
Stefan Raimund Maschek, Jürgen Schwitalla, Maja Franz +1
Noise and imperfections are among the prevalent challenges in quantum software engineering for current NISQ systems. They will remain important in the post-NISQ area, as logical, e…
SAT Strikes Back: Parameter and Path Relations in Quantum Toolchains
Lukas Schmidbauer, Wolfgang Mauerer
In the foreseeable future, toolchains for quantum computing should offer automatic means of transforming a high level problem formulation down to a hardware executable form. Thereb…
From Hope to Heuristic: Realistic Runtime Estimates for Quantum Optimisation in NHEP
Maja Franz, Manuel Schönberger, Melvin Strobl +5
Noisy Intermediate-Scale Quantum (NISQ) computers, despite their limitations, present opportunities for near-term quantum advantages in Nuclear and High-Energy Physics (NHEP) when…
Path Matters: Industrial Data Meet Quantum Optimization
Lukas Schmidbauer, Carlos A. Riofrío, Florian Heinrich +4
Real-world optimization problems must undergo a series of transformations before becoming solvable on current quantum hardware. Even for a fixed problem, the number of possible tra…
It's Quick to be Square: Fast Quadratisation for Quantum Toolchains
Lukas Schmidbauer, Elisabeth Lobe, Ina Schaefer +1
Many of the envisioned use-cases for quantum computers involve optimisation processes. While there are many algorithmic primitives to perform the required calculations, all eventua…
Approximating under the Influence of Quantum Noise and Compute Power
Simon Thelen, Hila Safi, Wolfgang Mauerer
The quantum approximate optimisation algorithm (QAOA) is at the core of many scenarios that aim to combine the power of quantum computers and classical high-performance computing a…
Out of the Loop: Structural Approximation of Optimisation Landscapes and non-Iterative Quantum Optimisation
Tom Krüger, Wolfgang Mauerer
The Quantum Approximate Optimisation Algorithm (QAOA) is a widely studied quantum-classical iterative heuristic for combinatorial optimisation. While QAOA targets problems in compl…
Polynomial Reduction Methods and their Impact on QAOA Circuits
Lukas Schmidbauer, Karen Wintersperger, Elisabeth Lobe +1
Abstraction layers are of paramount importance in software architecture, as they shield the higher-level formulation of payload computations from lower-level details. Since quantum…
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
Maja Franz, Tobias Winker, Sven Groppe +1
Identifying optimal join orders (JOs) stands out as a key challenge in database research and engineering. Owing to the large search space, established classical methods rely on app…
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule
Maniraman Periyasamy, Axel Plinge, Christopher Mutschler +2
The study of variational quantum algorithms (VQCs) has received significant attention from the quantum computing community in recent years. These hybrid algorithms, utilizing both…
QCEDA: Using Quantum Computers for EDA
Matthias Jung, Sven O. Krumke, Christof Schroth +2
The field of Electronic Design Automation (EDA) is crucial for microelectronics, but the increasing complexity of Integrated Circuits (ICs) poses challenges for conventional EDA: C…
Influence of HW-SW-Co-Design on Quantum Computing Scalability
Hila Safi, Karen Wintersperger, Wolfgang Mauerer
The use of quantum processing units (QPUs) promises speed-ups for solving computational problems. Yet, current devices are limited by the number of qubits and suffer from significa…
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
Maja Franz, Lucas Wolf, Maniraman Periyasamy +5
Deep Reinforcement Learning (RL) has considerably advanced over the past decade. At the same time, state-of-the-art RL algorithms require a large computational budget in terms of t…
Approximate Approximation on a Quantum Annealer
Irmi Sax, Sebastian Feld, Sebastian Zielinski +3
Many problems of industrial interest are NP-complete, and quickly exhaust resources of computational devices with increasing input sizes. Quantum annealers (QA) are physical device…
A Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer
Sebastian Feld, Christoph Roch, Thomas Gabor +5
The Capacitated Vehicle Routing Problem (CVRP) is an NP-optimization problem (NPO) that has been of great interest for decades for both, science and industry. The CVRP is a variant…
Tunable generation of entangled photons in a nonlinear directional coupler
Frank Setzpfandt, Alexander S. Solntsev, James Titchener +6
The on-chip integration of quantum light sources has enabled the realization of complex quantum photonic circuits. However, for the practical implementation of such circuits in qua…