Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications

Y Gujju, A Matsuo, R Raymond - Physical Review Applied, 2024 - APS
The past decade has witnessed significant advancements in quantum hardware,
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …

Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements

M Kölle, A Ahouzi, P Debus, R Müller… - arXiv preprint arXiv …, 2023 - arxiv.org
Quantum computing, with its potential to enhance various machine learning tasks, allows
significant advancements in kernel calculation and model precision. Utilizing the one-class …

Applications of Quantum Machine Learning for Quantitative Finance

P Mironowicz, A Mandarino, A Yilmaz… - arXiv preprint arXiv …, 2024 - arxiv.org
Machine learning and quantum machine learning (QML) have gained significant
importance, as they offer powerful tools for tackling complex computational problems across …

Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling

M Kölle, A Ahouzi, P Debus, E Çetiner, R Müller… - arXiv preprint arXiv …, 2024 - arxiv.org
Quantum one-class support vector machines leverage the advantage of quantum kernel
methods for semi-supervised anomaly detection. However, their quadratic time complexity …

The Pursuit of Quantum Advantage with IBM Quantum Computers: A Perspective and Potential Research Problems

MR Laskar, R Majumdar, K Dasgupta… - Authorea Preprints - techrxiv.org
Quantum science and technology are poised to revolutionize industries worldwide, and
nations across the globe are investing heavily in advancing quantum computing. Leading …

Hybrid Quantum-Classical Algorithms for Optimizing Resource Allocation in Cloud-Based Big Data Environments

R Hidayat, N Suryanto - AI, IoT and the Fourth Industrial Revolution …, 2024 - scicadence.com
The unprecedented growth of data in the digital age has necessitated the development of
efficient and scalable resource allocation strategies for cloud-based big data environments …