5 papers
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…
Hierarchically discriminating Haar-randomness in quantum states from a black-box device
Xavier Bonet-Monroig, Hao Wang, Adrián Pérez-Salinas
The concept of randomness in quantum computing has been central to constructing benchmarking tools, cryptographic protocols, as well as a proof of beyond-classical computation. Dis…
Improving Quantum Multi-Objective Optimization with Archiving and Substitution
Linus Ekstrøm, Takafumi Hosogi, Xavier Bonet-Monroig +3
Finding optimal solutions of conflicting objectives is a daily matter in many industrial applications, with multi-objective optimization trying to find the best solutions to them.…
An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise
Catalin-Viorel Dinu, Yash J. Patel, Xavier Bonet-Monroig +1
The Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) is one of the most advanced algorithms in numerical black-box optimization. For noisy objective functions, several a…
The role of data-induced randomness in quantum machine learning classification tasks
Berta Casas, Xavier Bonet-Monroig, Adrián Pérez-Salinas
Quantum machine learning (QML) has surged as a prominent area of research with the objective to go beyond the capabilities of classical machine learning models. A critical aspect o…