29 citations · 39 across the 9 of their papers we have counts for
11 papers
JAQSI: Just Another Quantum Simulator
Melvin Strobl, Maja Franz, Lukas Scheller +3
Classical simulation supports the development and validation of quantum algorithms through full-state inspection, controlled noise models and backpropagation, albeit for small quan…
Towards Tensor-Network SAT-Solvers for Quantum-Classical Workflows
Benjamin Zec, Lukas Schmidbauer, Maja Franz +1
Integrated HPC/QC systems aim to combine classical high-performance computing with quantum processors, but cannot be reduced to mechanisms for dispatching quantum kernels. An integ…
Benchmarking Error Mitigation: Artefactual Improvements in Zero-Noise Extrapolation
Dominik Köster, Wolfgang Mauerer
Reliable benchmarking of Quantum Error Mitigation (QEM) requires distinguishing genuine improvements from artefacts of the post-processing arithmetic. In this paper, we expose a fa…
Works on My QPU: Reproducibility in Quantum Computing Research
Dominik Köster, Maja Franz, Benjamin Zec +3
Quantum computing research increasingly depends on complex software stacks, yet the reproducibility of published results does not receive the priority and longevity mandated by rec…
Software Between Quantum and Machine Learning -- And Down to Pulses
Maja Franz, Melvin Strobl, Jonathan Hunz +5
Contemporary quantum computing platforms remain, in essence, programmable physical systems whose control is typically mediated through unitary gate abstractions. While such abstrac…
From Constraint to Code: DQI-Kit -- A Software Framework for Decoded Quantum Interferometry
Simon Thelen, Wolfgang Mauerer
Trying to solve hard optimisation problems with quantum techniques requires transformations of domain objectives and constraints into formats compatible with a chosen quantum algor…
Claim against Measurement: Statistical Artefacts in Quantum Error Mitigation Benchmarks
Dominik Köster, Wolfgang Mauerer
QEM is widely regarded as a plausible bridge from NISQ devices to FTQC. Yet the empirical studies used to assess the effectiveness of QEM techniques on concrete problems have recei…
Going off Pattern? QAOA Parameter Heuristics and Potentials of Parsimony
Vincent Eichenseher, Maja Franz, Christian Wolff +1
Structured variational quantum algorithms such as the Quantum Approximate Optimisation Algorithm (QAOA) have emerged as leading candidates for exploiting advantages of near-term qu…
Out of Tune: Demystifying Noise-Effects on Quantum Fourier Models
Maja Franz, Melvin Strobl, Leonid Chaichenets +3
Variational quantum algorithms have received substantial theoretical and empirical attention. As the underlying variational quantum circuit (VQC) can be represented by Fourier seri…
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…
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…