EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Quantum Machine Learning In Industrial Automation Eds Anupam Ghosh Soumi Dutta Asit Kumar Das Vinod Kumar Shukla Fernando Moreira

Name: Quantum Machine Learning In Industrial Automation Eds Anupam Ghosh Soumi Dutta Asit Kumar Das Vinod Kumar Shukla Fernando Moreira
SKU: BELL-238515726
Price: 35.00 USD
Availability: InStock
Rating: 4.25 (68 reviews)

SKU: BELL-238515726

$ 35.00 ~~$ 45.00~~ (-22%)

4.3

68 reviews

Quantum Machine Learning In Industrial Automation Eds Anupam Ghosh Soumi Dutta Asit Kumar Das Vinod Kumar Shukla Fernando Moreira instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 6.08 MB

Pages: 458

Author: (Eds) Anupam Ghosh & Soumi Dutta & Asit Kumar Das & Vinod Kumar Shukla & Fernando Moreira

ISBN: 9783031997853, 9783031997860, 3031997859, 3031997867

Language: English

Year: 2025

Volume: 65

Product desciption

Quantum Machine Learning In Industrial Automation Eds Anupam Ghosh Soumi Dutta Asit Kumar Das Vinod Kumar Shukla Fernando Moreira by (eds) Anupam Ghosh & Soumi Dutta & Asit Kumar Das & Vinod Kumar Shukla & Fernando Moreira 9783031997853, 9783031997860, 3031997859, 3031997867 instant download after payment.

This book focuses on quantum machine learning that harnesses the collective properties of quantum states, such as superposition, interference, and entanglement, which uses algorithms run on quantum devices, such as quantum computers, to supplement, expedite, or support the work performed by a classical machine learning program.