Michael J. Kastoryano

According to our database, Michael J. Kastoryano authored at least 9 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Full grid solution for multi-asset options pricing with tensor networks.

Lucas Arenstein, Michael J. Kastoryano

CoRR, January, 2026

2025

Fast and Flexible Quantum-Inspired Differential Equation Solvers with Data Integration.

Lucas Arenstein, Martin Mikkelsen, Michael J. Kastoryano

CoRR, May, 2025

A little bit of self-correction.

Michael J. Kastoryano, Lasse B. Kristensen, Chi-Fang Chen, András Gilyén

Quantum, 2025

Efficient quantum thermal simulation.

Chi-Fang Chen, Michael J. Kastoryano, Fernando G. S. L. Brandão, András Gilyén

Nat., 2025

2024

Quantum generalizations of Glauber and Metropolis dynamics.

András Gilyén, Chi-Fang Chen, João F. Doriguello, Michael J. Kastoryano

CoRR, 2024

LoQT: Low Rank Adapters for Quantized Training.

Sebastian Loeschcke, Mads Toftrup, Michael J. Kastoryano, Serge J. Belongie, Vésteinn Snæbjarnarson

CoRR, 2024

LoQT: Low-Rank Adapters for Quantized Pretraining.

Sebastian Loeschcke, Mads Toftrup, Michael J. Kastoryano, Serge J. Belongie, Vésteinn Snæbjarnarson

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Coarse-To-Fine Tensor Trains for Compact Visual Representations.

Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen, Serge J. Belongie, Michael J. Kastoryano, Sagie Benaim

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2017

Limits on the storage of quantum information in a volume of space.

Steven T. Flammia, Jeongwan Haah, Michael J. Kastoryano, Isaac H. Kim

Quantum, 2017