Vedran Dunjko

5 papers · 2021–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

ICLR (2) NeurIPS (2) ICML (1)

Top co-authors

Casper Gyurik (3) Mateusz Ostaszewski (2) Simon Marshall (1) Hans Briegel (1) Yash J. Patel (1) Adrian Perez-Salinas (1) Xavier Bonet-Monroig (1) Eleanor Scerri (1) Sofiene Jerbi (1) Elies Gil-Fuster (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Interdisciplinary (2) Reinforcement Learning (2) Core AI (2) Methods (2) Optimization & Theory (2) Science (2) Deep Learning (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

reinforcement learning (3) curriculum learning (2) policy learning (1) quantum computing (1) quantum machine learning (1) variational quantum algorithm (1) quantum chemistry (1) ground state energy (1) parametrized quantum circuit (1) circuit optimization (1) quantum optimization (1) quantum architecture search (1) quantum circuit (1) variational quantum eigensolver (1) hybrid quantum-classical model (1) variational quantum learning (1) noisy quantum circuit (1)

Papers

Limitations of measure-first protocols in quantum machine learning ICML 2025 On the Relation between Trainability and Dequantization of Variational Quantum Learning Models ICLR 2025 Curriculum reinforcement learning for quantum architecture search under hardware errors ICLR 2024 Parametrized Quantum Policies for Reinforcement Learning NeurIPS 2021 Reinforcement learning for optimization of variational quantum circuit architectures NeurIPS 2021