Matthias C. Caro

According to our database, Matthias C. Caro authored at least 25 papers between 2020 and 2026.

Collaborative distances:

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

2026

Cloning is as Hard as Learning for Stabilizer States.

Nikhil Bansal, Matthias C. Caro, Gaurav Mahajan

CoRR, April, 2026

Certifying and learning local quantum Hamiltonians.

Andreas Bluhm, Matthias C. Caro, Francisco Escudero Gutiérrez, Junseo Lee, Aadil Oufkir, Cambyse Rouzé, Myeongjin Shin

CoRR, March, 2026

A PAC-Bayesian approach to generalization for quantum models.

Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber, Carlos Bravo-Prieto

CoRR, March, 2026

Hamiltonian Property Testing.

Andreas Bluhm, Matthias C. Caro, Aadil Oufkir

Quantum, 2026

Testing Classical Properties from Quantum Data.

Matthias C. Caro, Preksha Naik, Joseph Slote

Proceedings of the 17th Innovations in Theoretical Computer Science Conference, 2026

2025

Covert Quantum Learning: Privately and Verifiably Learning from Quantum Data.

Abhishek Anand, Matthias C. Caro, Ari Karchmer, Saachi Mutreja

CoRR, October, 2025

Certifying and learning quantum Ising Hamiltonians.

Andreas Bluhm, Matthias C. Caro, Francisco Escudero Gutiérrez, Aadil Oufkir, Cambyse Rouzé

CoRR, September, 2025

2024

Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix.

Matthias C. Caro

ACM Trans. Quantum Comput., June, 2024

Interactive proofs for verifying (quantum) learning and testing.

Matthias C. Caro, Jens Eisert, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke

CoRR, 2024

Online learning of quantum processes.

Asad Raza, Matthias C. Caro, Jens Eisert, Sumeet Khatri

CoRR, 2024

Classical Verification of Quantum Learning.

Matthias C. Caro, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke

Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

Information-theoretic generalization bounds for learning from quantum data.

Matthias C. Caro, Tom Gur, Cambyse Rouzé, Daniel Stilck França, Sathyawageeswar Subramanian

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

From undecidability of non-triviality and finiteness to undecidability of learnability.

Matthias C. Caro

Int. J. Approx. Reason., December, 2023

On the Generators of Quantum Dynamical Semigroups with Invariant Subalgebras.

Markus Hasenöhrl, Matthias C. Caro

Open Syst. Inf. Dyn., March, 2023

Learning quantum states and unitaries of bounded gate complexity.

Haimeng Zhao, Laura Lewis, Ishaan Kannan, Yihui Quek, Hsin-Yuan Huang, Matthias C. Caro

CoRR, 2023

The power and limitations of learning quantum dynamics incoherently.

Sofiène Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, Zoë Holmes

CoRR, 2023

2022

Quantum Learning Theory.

Matthias C. Caro

PhD thesis, 2022

Dynamical simulation via quantum machine learning with provable generalization.

Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles

CoRR, 2022

Out-of-distribution generalization for learning quantum dynamics.

Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes

CoRR, 2022

2021

Encoding-dependent generalization bounds for parametrized quantum circuits.

Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke

Quantum, 2021

Binary classification with classical instances and quantum labels.

Matthias C. Caro

Quantum Mach. Intell., 2021

Generalization in quantum machine learning from few training data.

Matthias C. Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles

CoRR, 2021

Undecidability of Learnability.

Matthias C. Caro

CoRR, 2021

2020

Pseudo-dimension of quantum circuits.

Matthias C. Caro, Ishaun Datta

Quantum Mach. Intell., 2020

Quantum learning Boolean linear functions w.r.t. product distributions.

Matthias C. Caro

Quantum Inf. Process., 2020