convergence analysis 1convex optimization 1federated learning 1heterogeneous data 1local sgd 1second-order heterogeneity 1
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quant-ph2026
Gradient Scalability and Taylor Surrogation of Quantum Cost Landscapes
Sabri Meyer, Francesco Scala, Francesco Tacchino +1
Variational Quantum Algorithms are promising candidates for near-term quantum computing, yet they face scalability challenges due to barren plateaus, where gradients vanish exponen…
quant-ph2026
Noise-Induced Equalization in quantum learning models
Francesco Scala, Giacomo Guarnieri, Aurelien Lucchi
Quantum noise is known to strongly affect quantum computation, thus potentially limiting the performance of currently available quantum processing units. Even learning models based…