Machine learning theory and applications hands-on use cases with Python on classical and quantum machines / Xavier Vasques.
| Author/creator | Vasques, Xavier |
| Format | Electronic |
| Publication Info | Hoboken, New Jersey : Wiley, [2024] |
| Description | pages cm |
| Supplemental Content | Full text available from IEEE Xplore Wiley Data and Cybersecurity eBooks Library |
| Subjects |
| Abstract | "Machine learning (ML) and quantum computing are two technologies that have the potential to allow us to solve complex, previously impossible problems and help speed up areas such as model training or pattern recognition. The future of computing will certainly be comprised of classical, biologically inspired, and quantum computing. The intersection between quantum computing and AI/ML has received considerable attention in recent years and has enabled the development of quantum machine learning algorithms such as quantum-enhanced Support Vector Machines (QSVMs), QSVM multiclass classification, variational quantum classifiers or quantum generative adversarial networks (qGANs)."-- Provided by publisher. |
| General note | Includes index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2023039030 |
| ISBN | 9781394220618 (hardback) |
| ISBN | (adobe pdf) |
| ISBN | (epub) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |