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 …

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 …

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 …

Feb 11, 2025 · Machine learning techniques are essential tools to compute efficient, yet accurate, force fields for atomistic simulations. This approach has recently been extended to incorporate quantum …

Apr 23, 2021 · This year’s Qiskit Global Summer School, from July 12-23, will feature live lectures and hands-on labs using the Qiskit machine learning application module.

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 …

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 …

Mar 8, 2024 · Overview of algorithms in quantum machine learning Abstract Recently, there has been a lot of recent interest in quantum algorithms for machine learning. These quantum improvements …

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.