Natalia Ares

Orcid: 0000-0003-2588-6322

Affiliations:
  • University of Oxford, Department of Materials, UK


According to our database1, Natalia Ares authored at least 8 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Fully autonomous tuning of a spin qubit.
CoRR, 2024

2023
Identifying Pauli spin blockade using deep learning.
Quantum, August, 2023

2021
Bridging the reality gap in quantum devices with physics-aware machine learning.
CoRR, 2021

Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning.
CoRR, 2021

2020
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices.
CoRR, 2020

Quantum device fine-tuning using unsupervised embedding learning.
CoRR, 2020

Machine learning enables completely automatic tuning of a quantum device faster than human experts.
CoRR, 2020

2018
Efficiently measuring a quantum device using machine learning.
CoRR, 2018


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