Item Infomation
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Francesco Petruccione | - |
| dc.contributor.author | Maria Schuld | - |
| dc.date.accessioned | 2023-08-31T09:25:00Z | - |
| dc.date.available | 2023-08-31T09:25:00Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/7672 | - |
| dc.description.abstract | This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | Machine learning | Điện toán lượng tử | vi |
| dc.title | Machine Learning with Quantum Computers | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | 1-Trí tuệ nhân tạo | |
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