Casper Gyurik

According to our database, Casper Gyurik authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Quantum computing and persistence in topological data analysis.

Casper Gyurik, Alexander Schmidhuber, Robbie King, Vedran Dunjko, Ryu Hayakawa

CoRR, 2024

On the relation between trainability and dequantization of variational quantum learning models.

Elies Gil-Fuster, Casper Gyurik, Adrián Pérez-Salinas, Vedran Dunjko

CoRR, 2024

On Bounded Advice Classes.

Simon C. Marshall, Casper Gyurik, Vedran Dunjko

CoRR, 2024

2023

High Dimensional Quantum Machine Learning With Small Quantum Computers.

Simon C. Marshall, Casper Gyurik, Vedran Dunjko

Quantum, August, 2023

Structural risk minimization for quantum linear classifiers.

Casper Gyurik, Dyon van Vreumingen, Vedran Dunjko

Quantum, January, 2023

Exponential separations between classical and quantum learners.

Casper Gyurik, Vedran Dunjko

CoRR, 2023

Shadows of quantum machine learning.

Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko

CoRR, 2023

2022

Towards quantum advantage via topological data analysis.

Casper Gyurik, Chris Cade, Vedran Dunjko

Quantum, September, 2022

On establishing learning separations between classical and quantum machine learning with classical data.

Casper Gyurik, Vedran Dunjko

CoRR, 2022

High Dimensional Quantum Learning With Small Quantum Computers.

Simon C. Marshall, Casper Gyurik, Vedran Dunjko

CoRR, 2022

2021

Variational quantum policies for reinforcement learning.

Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko

CoRR, 2021

Parametrized Quantum Policies for Reinforcement Learning.

Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Towards quantum advantage for topological data analysis.

Casper Gyurik, Chris Cade, Vedran Dunjko

CoRR, 2020