Casper Gyurik

18 papers A* 3Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Computational complexity of the homology problem with orientable filtration: MA-completeness.
CoRR
Ryu Hayakawa, Casper Gyurik, Mahtab Yaghubi Rad, Vedran Dunjko
2025 J jnl
Differential equation quantum solvers: engineering measurements to reduce cost.
CoRR
Annie E. Paine, Casper Gyurik, Antonio Andrea Gentile
2025 A* conf
Limitations of measure-first protocols in quantum machine learning.
ICML
Casper Gyurik, Riccardo Molteni, Vedran Dunjko
2025 A* conf
On the Relation between Trainability and Dequantization of Variational Quantum Learning Models.
ICLR
Elies Gil-Fuster, Casper Gyurik, Adrián Pérez-Salinas, Vedran Dunjko
2024 J jnl
On Bounded Advice Classes.
CoRR
Simon C. Marshall, Casper Gyurik, Vedran Dunjko
2024 J jnl
On the relation between trainability and dequantization of variational quantum learning models.
CoRR
Elies Gil-Fuster, Casper Gyurik, Adrián Pérez-Salinas, Vedran Dunjko
2024 J jnl
Quantum computing and persistence in topological data analysis.
CoRR
Casper Gyurik, Alexander Schmidhuber, Robbie King, Vedran Dunjko, Ryu Hayakawa
2023 J jnl
Exponential separations between classical and quantum learners.
CoRR
Casper Gyurik, Vedran Dunjko
2023 J jnl
High Dimensional Quantum Machine Learning With Small Quantum Computers.
Quantum
Simon C. Marshall, Casper Gyurik, Vedran Dunjko
2023 J jnl
Shadows of quantum machine learning.
CoRR
Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko
2023 J jnl
Structural risk minimization for quantum linear classifiers.
Quantum
Casper Gyurik, Dyon van Vreumingen, Vedran Dunjko
2022 J jnl
High Dimensional Quantum Learning With Small Quantum Computers.
CoRR
Simon C. Marshall, Casper Gyurik, Vedran Dunjko
2022 J jnl
On establishing learning separations between classical and quantum machine learning with classical data.
CoRR
Casper Gyurik, Vedran Dunjko
2022 J jnl
Towards quantum advantage via topological data analysis.
Quantum
Casper Gyurik, Chris Cade, Vedran Dunjko
2021 A* conf
Parametrized Quantum Policies for Reinforcement Learning.
NeurIPS
Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko
2021 J jnl
Structural risk minimization for quantum linear classifiers.
CoRR
Casper Gyurik, Dyon van Vreumingen, Vedran Dunjko
2021 J jnl
Variational quantum policies for reinforcement learning.
CoRR
Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko
2020 J jnl
Towards quantum advantage for topological data analysis.
CoRR
Casper Gyurik, Chris Cade, Vedran Dunjko