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Quantum reservoir computing using arrays of Rydberg atoms
Quantum computing promises to speed up machine-learning algorithms. However, noisy
intermediate-scale quantum (NISQ) devices pose engineering challenges to realizing …
intermediate-scale quantum (NISQ) devices pose engineering challenges to realizing …
[KNYGA][B] Analog Quantum Machine Learning Models on Near-Term Devices
ORA Bravo - 2024 - search.proquest.com
Quantum machine learning promises to deliver near-term practical quantum computation
applications using machine learning tools to optimize quantum hardware for scientific …
applications using machine learning tools to optimize quantum hardware for scientific …