Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning.
B. SeverinDominic T. LennonLeon C. CamenzindFlorian VigneauF. FedeleD. JirovecA. BallabioD. ChrastinaG. IsellaM. de KruijfM. J. CarballidoS. SvabAndreas V. KuhlmannF. R. BraakmanSimon GeyerF. N. M. FroningH. MoonMichael A. OsborneDino SejdinovicG. KatsarosDominik M. ZumbühlG. Andrew D. BriggsNatalia AresPublished in: CoRR (2021)
Keyphrases
- machine learning
- pattern recognition
- management system
- explanation based learning
- software architecture
- computer vision
- low cost
- natural language processing
- artificial intelligence
- computer science
- machine learning algorithms
- machine learning methods
- learning tasks
- multi layer
- solar cell
- quantum computation
- active learning
- data analysis
- data mining
- learning algorithm
- reconfigurable hardware
- semiconductor devices
- multi tasking