A new theory-guided framework could help scientists probe the properties of new semiconductors for next-generation ...

Chakraborty, S. (2011) Bayesian Semi-Supervised Learning with Support Vector Machine. Statistical Methodology, 8, 68-82.

Commvault’s post-quantum cryptography capabilities, including support for NIST’s HQC algorithm, are immediately available to all Commvault Cloud customers running software version CPR 2024 (11 ...

The current version of the Pegasos Quantum Support Vector Classifier does not natively support the training of the parameters in the quantum kernel. Since the theoretical benefits of Pegasos relate to ...

The set-up features a quantum photonic circuit built at the Politecnico di Milano (Italy), which runs a machine learning algorithm first proposed by researchers working at Quantinuum (United Kingdom).

In this study, we propose a novel hybrid quantum learning model, termed QSVM-QNN, which integrates a Quantum Support Vector Machine (QSVM) with a Quantum Neural Network (QNN), to improve ...

A quantum computer with a million qubits would be able to crack the vital RSA encryption algorithm, and while such machines don't yet exist, that estimate could still fall further ...

In this talk, we will explore a quantum-classical generative modeling framework designed to enhance molecular design by leveraging quantum computing. By integrating quantum algorithms with established ...

Download this Set Of Flower Diagrams With Cores And Petals Pie Charts Divided On Equal Segments In Leaf Shapes Isolated On White Background Floral Templates For Data Presentation Vector Outline ...