83 citations · 390 across the 23 of their papers we have counts for
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Repairability of Inexact Solvers in Recursive State Estimation with Machine Learning
Yanjun Ji, Dennis Willsch, Orkun Şensebat +8
Recursive state estimation often executes approximate numerical solutions inside a feedback loop, where highly accurate local steps do not guarantee better overall results. For a f…
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…
Quantum Deep Learning: A Comprehensive Review
Yanjun Ji, Zhao-Yun Chen, Marco Roth +10
Quantum deep learning (QDL) explores the use of both quantum and quantum-inspired resources to determine when deep learning's core capabilities, such as expressivity, generalizatio…