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quant-ph2025
Loss Behavior in Supervised Learning with Entangled States
Alexander Mandl, Johanna Barzen, Marvin Bechtold +2
Quantum Machine Learning (QML) aims to leverage the principles of quantum mechanics to speed up the process of solving machine learning problems or improve the quality of solutions…
quant-ph2025
Simulating Quantum State Transfer between Distributed Devices using Noisy Interconnects
Marvin Bechtold, Johanna Barzen, Frank Leymann +1
Scaling beyond individual quantum devices via distributed quantum computing relies critically on high-fidelity quantum state transfers between devices, yet the quantum interconnect…
quant-ph2024
Joint Wire Cutting with Non-Maximally Entangled States
Marvin Bechtold, Johanna Barzen, Frank Leymann +2
Distributed quantum computing leverages the collective power of multiple quantum devices to perform computations exceeding the capabilities of individual quantum devices. A current…