12 citations · 19 across the 5 of their papers we have counts for
6 papers
Benchmarking Encoding Families in Quantum Neural Networks Under Fixed Circuit Area for Frequency Spectrum and Trainability
Martyna Czuba, Patrick Holzer, Hein Zay Yar Oo
Quantum Neural Networks (QNNs) offer a promising framework for integrating quantum computing principles into machine learning, yet their practical capabilities and limitations rema…
Application of ZX-calculus to Quantum Architecture Search
Tom Ewen, Ivica Turkalj, Patrick Holzer +1
This paper presents a novel approach to quantum architecture search by integrating the techniques of ZX-calculus with Genetic Programming (GP) to optimize the structure of paramete…
Spectral invariance and maximality properties of the frequency spectrum of quantum neural networks
Patrick Holzer, Ivica Turkalj
We analyze the frequency spectrum of Quantum Neural Networks (QNNs) using Minkowski sums, which yields a compact algebraic description and permits explicit computation. Using this…
Dynamically Weighted Federated k-Means
Patrick Holzer, Tania Jacob, Shubham Kavane
Federated clustering, an integral aspect of federated machine learning, enables multiple data sources to collaboratively cluster their data, maintaining decentralization and preser…
A Quantum Computing Approach for the Unit Commitment Problem
Pascal Halffmann, Patrick Holzer, Kai Plociennik +1
Planning energy production is a challenging task due to its cost-sensitivity, fast-moving energy markets, uncertainties in demand, and technical constraints of power plants. Thus,…
Fed-DART and FACT: A solution for Federated Learning in a production environment
Nico Weber, Patrick Holzer, Tania Jacob +1
Federated Learning as a decentralized artificial intelligence (AI) solution solves a variety of problems in industrial applications. It enables a continuously self-improving AI, wh…