C. Matthias

University of Warwick — United Kingdom

Computer Science · Physical Sciences

15h-index1.2kcitations120works5.12yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(22), Quantum Information and Cryptography(19), Sinusitis and nasal conditions(10), Machine Learning and Algorithms(10), Head and Neck Cancer Studies(9)

Publications120 total

Hamiltonian Property Testing
Quantum·2026· 1 citedOpen Access
Hamilton property testing
RWTH Publications (RWTH Aachen)·2026Open Access
Gibbs state postulate from dynamical stability -- Redundancy of the zeroth law
arXiv (Cornell University)·2025Open Access
Covert Quantum Learning: Privately and Verifiably Learning from Quantum Data
arXiv (Cornell University)·2025Open Access
Certifying and learning quantum Ising Hamiltonians
ArXiv.org·2025Open Access
Multi-centric real-world effectiveness of mepolizumab in severe chronic rhinosinusitis with nasal polyps in Germany
Rhinology Journal·2025· 1 citedOpen Access
LEBEGLONE: evaluating the bed partners’ perspective after hypoglossal nerve stimulation therapy for OSA
2025
Insomnia features and patient-reported daytime sleepiness in patients with obstructive sleep apnea
Sleep Medicine·2025· 2 citedOpen Access
Testing Classical Properties from Quantum Data
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)·2024Open Access
Interactive proofs for verifying (quantum) learning and testing
arXiv (Cornell University)·2024Open Access
Learning Quantum States and Unitaries of Bounded Gate Complexity
PRX Quantum·2024· 23 citedOpen Access
Online learning of quantum processes
arXiv (Cornell University)·2024Open Access
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
ACM Transactions on Quantum Computing·2024· 20 citedOpen Access
ARTIS Pheno®: a potential tool for cochlear implant surgery
European Archives of Oto-Rhino-Laryngology·2024· 1 citedOpen Access
Dynamical simulation via quantum machine learning with provable generalization
Physical Review Research·2024· 29 citedOpen Access
Information-theoretic generalization bounds for learning from quantum data
arXiv (Cornell University)·2023· 1 citedOpen Access
Learning quantum states and unitaries of bounded gate complexity
arXiv (Cornell University)·2023· 5 citedOpen Access
From undecidability of non-triviality and finiteness to undecidability of learnability
International Journal of Approximate Reasoning·2023· 2 cited
Dissipation-enabled bosonic Hamiltonian learning via new information-propagation bounds
arXiv (Cornell University)·2023Open Access
Out-of-distribution generalization for learning quantum dynamics
Nature Communications·2023· 63 citedOpen Access
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Frequent Co-authors

Hsin-Yuan Huang(9), Patrick J. Coles(8), V. Jähnke(8), Andrew Sornborger(7), Łukasz Cincio(7), Richard C. Strange(7), Anthony A. Fryer(7), Zoë Holmes(6), Joe Gibbs(5), Sebastian Strieth(5), Michel Canis(4), Heidi Olze(4), Barbara Wollenberg(4), Tilman Huppertz(4), Jan Hagemann(4), U Harréus(3), Nicholas Ezzell(3), Timo Stöver(3), Stefan Dazert(3), Thomas Hoffmann(3)