Quantum Machine Learning
Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Since quantum systems produce counter-intuitive patterns believed not to be efficiently produced by classical systems, it is reasonable to postulate that quantum computers may outperform classical computers on machine learning tasks. The field of quantum machine learning explores how to devise and implement concrete quantum software that offers such advantages. Recent work has made clear that the hardware and software challenges are still considerable but has also opened paths towards solutions.
Code (0)
등록된 구현이 없습니다.
Tasks
BIG-bench Machine LearningQuantum Machine LearningSimilar Papers 제목 키워드 기반
Quantum memristors for neuromorphic quantum machine learning
Quantum machine learning may permit to realize more efficient machine learning calculations with near-term quantum devices. Among the diverse quantum machine learning paradigms which are currently being considered, quant…
Quantum Machine LearningQuantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning
Quantum machine learning (QML) is a rapidly growing field that combines quantum computing principles with traditional machine learning. It seeks to revolutionize machine learning by harnessing the unique capabilities of …
Quantum Machine LearningQuantum machine learning and quantum biomimetics: A perspective
Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technologies. It may permit, on the one hand, to carry out more efficient machine learning calculations by means of quantum device…
Artificial LifeBIG-bench Machine LearningQuantum Machine LearningReinforcement LearningUniversal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces
Encoding classical data into quantum states is considered a quantum feature map to map classical data into a quantum Hilbert space. This feature map provides opportunities to incorporate quantum advantages into machine l…
BIG-bench Machine LearningGeneral ClassificationQuantum Machine LearningQuantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods
Machine learning has revolutionized numerous industrial domains. Despite recent advances, machine learning models remain vulnerable to adversarial threats. Adversarial machine learning is a field that studies these vulne…
Quantum Machine Learning