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quant-ph2026
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…
quant-ph2026
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…
quant-ph2024
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…