most citedEfficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

quant-ph2026

How to find expressible and trainable parameterized quantum circuits?

Peter Röseler, Dennis Willsch, Kristel Michielsen

Whether parameterized quantum circuits (PQCs) can be systematically constructed to be both trainable and expressive remains an open question. Highly expressive PQCs often exhibit b…

quant-ph2025★ 3 cited

Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints

Peter Röseler, Oliver Schaudt, Helmut Berg +2

While classical convolutional neural networks (CNNs) have revolutionized image classification, the emergence of quantum computing presents new opportunities for enhancing neural ne…