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ORCIDMatthias C. Caro
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2020 – today
- 2024
[c2]Matthias C. Caro, Tom Gur, Cambyse Rouzé, Daniel Stilck França, Sathyawageeswar Subramanian:
Information-theoretic generalization bounds for learning from quantum data. COLT 2024: 775-839- [c1]Matthias C. Caro
, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke:
Classical Verification of Quantum Learning. ITCS 2024: 24:1-24:23 - [i17]Andreas Bluhm, Matthias C. Caro, Aadil Oufkir:
Hamiltonian Property Testing. CoRR abs/2403.02968 (2024) - [i16]Asad Raza, Matthias C. Caro, Jens Eisert, Sumeet Khatri:
Online learning of quantum processes. CoRR abs/2406.04250 (2024) - [i15]Matthias C. Caro, Jens Eisert, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke:
Interactive proofs for verifying (quantum) learning and testing. CoRR abs/2410.23969 (2024) - [i14]Matthias C. Caro, Preksha Naik, Joseph Slote:
Testing classical properties from quantum data. CoRR abs/2411.12730 (2024) - 2023
- [j6]Matthias C. Caro:
From undecidability of non-triviality and finiteness to undecidability of learnability. Int. J. Approx. Reason. 163: 109057 (2023) - [j5]Markus Hasenöhrl, Matthias C. Caro:
On the Generators of Quantum Dynamical Semigroups with Invariant Subalgebras. Open Syst. Inf. Dyn. 30(1): 2350001:1-2350001:24 (2023) - [i13]Sofiène Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, Zoë Holmes:
The power and limitations of learning quantum dynamics incoherently. CoRR abs/2303.12834 (2023) - [i12]Matthias C. Caro, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke:
Classical Verification of Quantum Learning. CoRR abs/2306.04843 (2023) - [i11]Haimeng Zhao, Laura Lewis, Ishaan Kannan, Yihui Quek, Hsin-Yuan Huang, Matthias C. Caro:
Learning quantum states and unitaries of bounded gate complexity. CoRR abs/2310.19882 (2023) - [i10]Matthias C. Caro, Tom Gur, Cambyse Rouzé, Daniel Stilck França, Sathyawageeswar Subramanian:
Information-theoretic generalization bounds for learning from quantum data. CoRR abs/2311.05529 (2023) - 2022
- [b1]Matthias C. Caro:
Quantum Learning Theory. Technical University of Munich, Germany, 2022 - [i9]Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes:
Out-of-distribution generalization for learning quantum dynamics. CoRR abs/2204.10268 (2022) - [i8]Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles:
Dynamical simulation via quantum machine learning with provable generalization. CoRR abs/2204.10269 (2022) - [i7]Matthias C. Caro:
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix. CoRR abs/2212.04471 (2022) - 2021
- [j4]Matthias C. Caro:
Binary classification with classical instances and quantum labels. Quantum Mach. Intell. 3(1): 1-24 (2021) - [j3]Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke:
Encoding-dependent generalization bounds for parametrized quantum circuits. Quantum 5: 582 (2021) - [i6]Matthias C. Caro:
Undecidability of Learnability. CoRR abs/2106.01382 (2021) - [i5]Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke:
Encoding-dependent generalization bounds for parametrized quantum circuits. CoRR abs/2106.03880 (2021) - [i4]Matthias C. Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles:
Generalization in quantum machine learning from few training data. CoRR abs/2111.05292 (2021) - 2020
- [j2]Matthias C. Caro:
Quantum learning Boolean linear functions w.r.t. product distributions. Quantum Inf. Process. 19(6): 172 (2020) - [j1]Matthias C. Caro, Ishaun Datta:
Pseudo-dimension of quantum circuits. Quantum Mach. Intell. 2(2): 1-14 (2020) - [i3]Matthias C. Caro, Ishaun Datta:
Pseudo-dimension of quantum circuits. CoRR abs/2002.01490 (2020) - [i2]Matthias C. Caro:
Binary Classification with Classical Instances and Quantum Labels. CoRR abs/2006.06005 (2020)
2010 – 2019
- 2019
- [i1]Matthias C. Caro:
Quantum Learning Boolean Linear Functions w.r.t. Product Distributions. CoRR abs/1902.08753 (2019)
Coauthor Index
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