Quclassi: A hybrid deep neural network architecture based on quantum state fidelity
In the past decade, remarkable progress has been achieved in deep learning related
systems and applications. In the post Moore's Law era, however, the limit of semiconductor …
systems and applications. In the post Moore's Law era, however, the limit of semiconductor …
A Review of the Applications of Quantum Machine Learning in Optical Communication Systems
In the context of optical signal processing, quantum and quantum-inspired machine learning
algorithms have massive potential for deployment. One of the applications is in error …
algorithms have massive potential for deployment. One of the applications is in error …
Quantum machine learning for electricity theft detection: An initial investigation
Electricity theft could result in massive economic loss and cause potential security problems
to the grids. There-fore, it is of great importance to detect electricity theft from both an …
to the grids. There-fore, it is of great importance to detect electricity theft from both an …
Quantum computing aided machine learning through quantum state fidelity
SA Stein - 2021 - preprints.org
Tremendous progress has been witnessed in artificial intelligence within the domain of
neural network backed deep learning systems and its applications. As we approach the post …
neural network backed deep learning systems and its applications. As we approach the post …
Distributed Learning in a Quantum-Classical Hybrid System
A D'Onofrio Jr - 2023 - search.proquest.com
Abstract Machine learning and deep learning have made significant advances in recent
years, transforming the way we approach and solve complex problems. However, the …
years, transforming the way we approach and solve complex problems. However, the …