3 papers
quant-ph2026
Getting large-scale quantum neural networks ready for quantum hardware
Mario Boneberg, Simon Kochsiek, Igor Lesanovsky
Quantum neural networks generalize classical artificial neural networks into the quantum domain. They are formulated as parameterized quantum circuits which are optimized by measur…
quant-ph2025
Training the classification capability of large-scale quantum cellular automata
Mario Boneberg, Simon Kochsiek, Gabriele Perfetto +1
In the vicinity of a phase transition ergodicity can be broken. Here, different initial many-body configurations evolve towards one of several fixed points, which are macroscopical…
quant-ph2024
Non-linear classification capability of quantum neural networks due to emergent quantum metastability
Mario Boneberg, Federico Carollo, Igor Lesanovsky
The power and expressivity of deep classical neural networks can be attributed to non-linear input-output relations. Such non-linearities are at the heart of many computational tas…