Jul 12, 2021 · We now know that quantum computers have the potential to boost the performance of machine learning systems, and may eventually power efforts in fields from drug discovery to fraud …

May 25, 2025 · 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 …

Feb 1, 2024 · Even though results are promising, quantum machine learning is far from achieving its full potential. An improvement in quantum hardware is required for this potential to be achieved since the …

Jul 12, 2021 · The quantum algorithm, based on a quantum kernel method, employs a time-proven conventional machine learning model to learn the kernel function, which finds the relevant features in …

Nov 22, 2024 · We benchmarked ML-QEM using a variety of machine learning models—linear regression, random forest, multilayer perceptron and graph neural networks—on diverse classes of …

Jun 4, 2024 · Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications for Physical Review Applied by Yaswitha …

Aug 31, 2025 · Quantum Machine Learning for minimal omics datasets with large feature space using embeddings and feature selection techniques Abstract Despite the amount of omics data generated …

Nov 20, 2025 · We’re inventing what’s next in quantum research. Explore our recent work, access unique toolkits, and discover the breadth of topics that matter to us.

Jan 1, 2023 · Here, we investigate quantum embeddings for encoding Boolean-valued data into parameterized quantum circuits used for machine learning tasks. We narrow down representability …

She is currently working the area of Quantum Machine learning and quantum applications in finance. She has published several papers in top tier conferences and journals and has received several Best …