Results 1 to 10 of about 2,977,466 (210)
On Quantum Methods for Machine Learning Problems Part II: Quantum Classification Algorithms
Big Data Mining and Analytics, 2020 This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presented some of the fundamentals and introduced several quantum tools based on known quantum search algorithms.
Farid Ablayev +5 more
doaj +4 more sources
Case-Based and Quantum Classification for ERP-Based Brain–Computer Interfaces [PDF]
Brain Sciences, 2023 Low transfer rates are a major bottleneck for brain–computer interfaces based on electroencephalography (EEG). This problem has led to the development of more robust and accurate classifiers.
Grégoire H. Cattan, Alexandre Quemy
doaj +2 more sources
Rheumatoid arthritis classification using hybrid pretrained quantum convolutional neural network [PDF]
Frontiers in Artificial IntelligenceRheumatoid arthritis (RA) is a chronic autoimmune disease where early diagnosis is critical for preventing irreversible joint damage. Recent advances in quantum computing have established potential advantages in modelling complex, high-dimensional ...
D. Jeyamani, Rukmani Panjanathan
doaj +2 more sources
Indoor–Outdoor Detection in Mobile Networks Using Quantum Machine Learning Approaches
Computers, 2021 Communication networks are managed more and more by using artificial intelligence. Anomaly detection, network monitoring and user behaviour are areas where machine learning offers advantages over more traditional methods.
Frank Phillipson +2 more
doaj +1 more source
Quantum Machine Learning: A Review and Case Studies
Entropy, 2023 Despite its undeniable success, classical machine learning remains a resource-intensive process. Practical computational efforts for training state-of-the-art models can now only be handled by high speed computer hardware.
Amine Zeguendry +2 more
doaj +1 more source
A Grover-search based quantum learning scheme for classification
New Journal of Physics, 2021 The hybrid quantum–classical learning scheme provides a prominent way to achieve quantum advantages on near-term quantum devices. A concrete example toward this goal is the quantum neural network (QNN), which has been developed to accomplish various ...
Yuxuan Du +3 more
doaj +1 more source
Frontiers in Physics, 2023 This study highlights the drawbacks of current quantum classifiers that limit their efficiency and data processing capabilities in big data environments.
Naihua Ji +5 more
doaj +1 more source
Support Vector Machines with Quantum State Discrimination
Quantum Reports, 2021 We analyze possible connections between quantum-inspired classifications and support vector machines. Quantum state discrimination and optimal quantum measurement are useful tools for classification problems.
Roberto Leporini, Davide Pastorello
doaj +1 more source
Entropy, 2022 Quantum machine learning is a promising application of quantum computing for data classification. However, most of the previous research focused on binary classification, and there are few studies on multi-classification.
Yi Zeng +4 more
doaj +1 more source
On Quantum Methods for Machine Learning Problems Part I: Quantum Tools
Big Data Mining and Analytics, 2020 This is a review of quantum methods for machine learning problems that consists of two parts. The first part, "quantum tools", presents the fundamentals of qubits, quantum registers, and quantum states, introduces important quantum tools based on known ...
Farid Ablayev +5 more
doaj +1 more source