相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Multidisciplinary Sciences
Sofiene Jerbi et al.
Summary: Machine learning algorithms based on parametrized quantum circuits are considered promising for noisy quantum computers. Various quantum machine learning models have been introduced, but our understanding of their comparison to classical models is limited. This work presents a comprehensive framework that categorizes these models as linear quantum models, and shows the resource requirements and capabilities of different models.
NATURE COMMUNICATIONS
(2023)
Review
Physics, Multidisciplinary
Weikang Li et al.
Summary: Machine learning has achieved significant success in various applications, and its integration with quantum physics opens up new frontiers for quantum machine learning. This review provides a comprehensive overview of quantum classifiers, with a focus on recent advancements. Different quantum classification algorithms are reviewed, along with the introduction of variational quantum classifiers and the challenges they face. The vulnerability of quantum classifiers in adversarial learning and recent experimental progress are also discussed.
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
(2022)
Article
Engineering, Environmental
Jakub Kubecka et al.
Summary: This article introduces an efficient approach to generate high-quality quantum chemical datasets for cluster formation studies and trains an accurate quantum machine learning model to predict the binding energies of clusters. The application of this machine learning model significantly reduces the number of clusters that need to be evaluated using complex computational methods.
ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS
(2022)
Article
Astronomy & Astrophysics
M. Colazo et al.
Summary: This study addresses the issue of color variation of asteroids in the Sloan Moving Object Catalog. By using absolute magnitudes for classification and applying an unsupervised machine learning algorithm, a new taxonomic classification of asteroids that is less affected by changes in phase angle was produced. A total of 6329 asteroids were successfully classified, and 15 new V-type asteroid candidates were identified.
ASTRONOMY & ASTROPHYSICS
(2022)
Article
Computer Science, Artificial Intelligence
Jose D. Martin-Guerrero et al.
Summary: This tutorial provides an overview of Quantum Machine Learning (QML), a discipline that combines concepts from Machine Learning (ML), Quantum Computing (QC), and Quantum Information (QI). QC has experienced significant development with the involvement of large technological companies and the success of ML, making QML a major field for researchers working at the intersection of Physics, Mathematics, and Computer Science. QML methods can be classified into those that use ML in a quantum experimentation environment and those that utilize QC and QI to find alternative and improved solutions to data-driven problems, often resulting in considerable speedup and enhanced performances.
Article
Multidisciplinary Sciences
Matthias C. Caro et al.
Summary: This study provides a comprehensive investigation into the generalization performance of QML on a limited training data set. The results show the relationship between the generalization error of a quantum machine learning model and the number of trainable gates, as well as the potential applications of quantum convolutional neural networks and learning quantum error correcting codes or quantum dynamical simulation.
NATURE COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Osvaldo Simeone
Summary: This monograph provides a self-contained introduction to the basic concepts and tools of quantum machine learning, as well as their applications on noisy intermediate-scale quantum computers. It covers parameterized quantum circuits, variational quantum eigensolvers, and unsupervised and supervised quantum machine learning formulations.
FOUNDATIONS AND TRENDS IN SIGNAL PROCESSING
(2022)
Article
Physics, Multidisciplinary
Rohit Dilip et al.
Summary: This study addresses the problem of achieving quantum speedup in machine learning tasks on noisy-intermediate scale quantum computers. It proposes methods to compress classical data into efficient representations on quantum devices and presents a hardware-efficient quantum circuit approach. The results demonstrate competitive accuracy with current tensor learning methods using only 11 qubits.
PHYSICAL REVIEW RESEARCH
(2022)
Article
Quantum Science & Technology
Maria Schuld et al.
Summary: This article discusses the application of quantum computing in machine learning, pointing out the difficulty of evaluating its practical capabilities with the current tools, and calling for a critical discussion on quantum advantage.
Article
Astronomy & Astrophysics
Javier Roa et al.
Summary: Orbit-determination programs find the best-fit orbit solution by minimizing residuals, and this paper presents a robust technique for identifying virtual impactors by incorporating impact conditions. By efficiently estimating impact probability through exploring parameter space with importance sampling, the proposed technique can handle various parameters and account for nongravitational forces.
ASTRONOMICAL JOURNAL
(2021)
Article
Computer Science, Information Systems
Makwana Bhavin et al.
Summary: Insurance agencies and digitally recorded healthcare databases can help reduce the complexity and cost of the healthcare ecosystem, while blockchain technology improves system efficiency and maintains security and privacy for all stakeholders.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
(2021)
Article
Astronomy & Astrophysics
Alan W. Harris et al.
Summary: This paper updates the population estimate of Near-Earth Asteroids (NEAs) and corrects previous issues in studies, while introducing an updated model distribution of NEA orbits in survey simulations. The study shows that the redetection algorithm is robust and mostly independent of survey parameters.
Article
Multidisciplinary Sciences
Vojtech Havlicek et al.
Article
Physics, Multidisciplinary
Maria Schuld et al.
PHYSICAL REVIEW LETTERS
(2019)
Article
Astronomy & Astrophysics
Quanzhi Ye et al.
PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC
(2019)
Article
Astronomy & Astrophysics
V. Carruba et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2019)
Article
Astronomy & Astrophysics
Mikael Granvik et al.
Proceedings Paper
Mechanics
Nikita Petrov et al.
EIGHTH POLYAKHOV'S READING
(2018)
Review
Multidisciplinary Sciences
Jacob Biamonte et al.
Article
Multidisciplinary Sciences
Mikael Granvik et al.
Article
Multidisciplinary Sciences
Davide Castelvecchi
Article
Astronomy & Astrophysics
Larry Denneau et al.
PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC
(2013)
Article
Computer Science, Artificial Intelligence
P Geurts et al.
Article
Computer Science, Artificial Intelligence
L Breiman
Article
Statistics & Probability
JH Friedman
ANNALS OF STATISTICS
(2001)
