Representation Theory for Geometric Quantum Machine Learning. - Michael Ragone; Paolo Braccia; Quynh T. Nguyen; Louis Schatzki; Patrick J. Coles; Frederic Sauvage; Martin Larocca; Marco Cerezo (CoRR, 2022)

Theory for Equivariant Quantum Neural Networks. - Quynh T. Nguyen; Louis Schatzki; Paolo Braccia; Michael Ragone; Patrick J. Coles; Frederic Sauvage; Martin Larocca; Marco Cerezo (CoRR, 2022)

Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing. - Marco Cerezo; Martin Larocca; Diego García-Martín; Nelson L. Diaz; Paolo Braccia; Enrico Fontana; Manuel S. Rudolph; Pablo Bermejo 002; Aroosa Ijaz; Supanut Thanasilp; Eric R. Anschütz; Zoë Holmes (CoRR, 2023)

Architectures and random properties of symplectic quantum circuits. - Diego García-Martín; Paolo Braccia; Marco Cerezo (CoRR, 2024)

Exact spectral gaps of random one-dimensional quantum circuits. - Andrew E. Deneris; Pablo Bermejo 002; Paolo Braccia; Lukasz Cincio; Marco Cerezo (CoRR, 2024)

Quantum Convolutional Neural Networks are (Effectively) Classically Simulable. - Pablo Bermejo 002; Paolo Braccia; Manuel S. Rudolph; Zoë Holmes; Lukasz Cincio; Marco Cerezo (CoRR, 2024)

Computing exact moments of local random quantum circuits via tensor networks. - Paolo Braccia; Pablo Bermejo 002; Lukasz Cincio; Marco Cerezo (Quantum Mach. Intell., 2024)