Aadil Oufkir

Orcid: 0000-0002-8594-1488

According to our database1, Aadil Oufkir authored at least 23 papers between 2021 and 2026.

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Timeline

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Bibliography

2026
Exponents for Classical-Quantum Channel Simulation in Purified Distance.
IEEE Trans. Inf. Theory, July, 2026

Quantum channel tomography: optimal bounds and a Heisenberg-to-classical phase transition.
CoRR, April, 2026

Certifying and learning local quantum Hamiltonians.
CoRR, March, 2026

Hamiltonian Property Testing.
Quantum, 2026

2025
Shadow Tomography Against Adversaries.
CoRR, December, 2025

Strong converse exponent of channel interconversion.
CoRR, September, 2025

Certifying and learning quantum Ising Hamiltonians.
CoRR, September, 2025

Lower Bounds on Learning Pauli Channels With Individual Measurements.
IEEE Trans. Inf. Theory, April, 2025

Quantum umlaut information.
CoRR, March, 2025

Umlaut information.
CoRR, March, 2025

Quantum channel coding: Approximation algorithms and strong converse exponents.
Quantum, 2025

Exponents for Shared Randomness-Assisted Channel Simulation.
Proceedings of the IEEE International Symposium on Information Theory, 2025

2024
Error exponent of activated non-signaling assisted classical-quantum channel coding.
CoRR, 2024

Learning Properties of Quantum States Without the I.I.D. Assumption.
CoRR, 2024

Optimality of Meta-Converse for Channel Simulation.
Proceedings of the IEEE International Symposium on Information Theory, 2024

2023
On Adaptivity in Classical and Quantum Learning. (L'Adaptativité dans l'Apprentissage Classique et Quantique).
PhD thesis, 2023

On Adaptivity in Quantum Testing.
Trans. Mach. Learn. Res., 2023

Quantum Channel Certification with Incoherent Strategies.
CoRR, 2023

Lower Bounds on Learning Pauli Channels.
CoRR, 2023

Sample-Optimal Quantum Process Tomography with non-adaptive Incoherent Measurements.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Quantum Channel Certification with Incoherent Measurements.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Sequential algorithms for testing identity and closeness of distributions.
CoRR, 2022

2021
Sequential Algorithms for Testing Closeness of Distributions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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