A bstract In this work, our prime objective is to study the phenomena of quantum chaos and complexity in the machine learning dynamics of Quantum Neural Network (QNN). A Parameterized Quantum Circuits (PQCs) in
Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Quantum systems produce atypical patterns that classical systems are thought not to produce efficiently, s
Here we solve an oracle-based problem, known as learning parity with noise, using a five-qubit superconducting processor. Running classical and quantum algorithms on the same oracle, we observe a large gap in query count in favor of quantum processing. We find that this gap grows by orders ...
Quantum Machine Learning is a novel field that merges classical Machine Learning with Quantum Information Processing, leveraging quantum computing principles like superposition and entanglement to address challenges in traditional machine learning, such as data volume and computational efficiency. ...
Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Quantum systems produce atypical patterns that classical systems are thought not to produce efficiently, s
Quantum Machine Learningbridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum fra...
Quantum Machine Learning 作者:Claudio Conti 出版社:Spinger 副标题:Thinking and Exploration in Neural Network Models for Quantum Science and Quantum Computing 出版年:2024-1-3 页数:378 定价:S$166.63 装帧:Hardcover ISBN:9783031442254 豆瓣评分 评价人数不足...
Quantum Seminar 报告信息 Title A rigorous and robust quantum speed-up in supervised machine learning Speaker Yunchao Liu, UC Berkeley Time & Location 11:00am, Friday Feb 26, 2021 Online Zoom Meeting https://zoom.com.cn/j/66678733707 (可点“阅读原...
After researching further I found Quantum Machine Learning (QML), a concept that was pretty new to me at the time. This field is both exciting and useful; it could help resolve issues with computational and time complexities, like those that I faced. Hence, I chose QML as a topic for fu...
Machine Learning Based Force Fields for Complex Materials to simulate realistic structures of complex multi-element crystalline, amorphous, liquid materials and interfaces, defect and dopant migration barriers, thermal transport, at nearly the same accur