2 papers
physics.ins-det2026
Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)
Julia Gonski, Jenni Ott, Shiva Abbaszadeh +118
The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environmen…
quant-ph2026
Experimental demonstration of the absence of noise-induced barren plateaus using information content landscape analysis
Sebastian Schmitt, Linus Ekstrøm, Alberto Bottarelli +1
Variational quantum algorithms are promising candidates for near-term quantum computing but can be hindered by barren plateaus, where gradients vanish exponentially and optimizatio…