| 000 | 01243nam a22002657a 4500 | ||
|---|---|---|---|
| 005 | 20260714152743.0 | ||
| 008 | 260714s2024 |||||||| |||| 00| 0 eng d | ||
| 020 | _a9783111342092 | ||
| 040 | _cPK-LaUMT | ||
| 082 |
_a006.31 _bQUA- |
||
| 245 | 0 | 0 |
_aQuantum machine learning : _bquantum algorithm and neural networks / _cedited by Perthuru Raj . . . [et al.] |
| 260 |
_aBerlin : _bDe Gruyter, _c2024 |
||
| 300 | _aviii, 326 p. | ||
| 490 | _aQuantum computing | ||
| 500 | _aIncludes bibliographical references and index. | ||
| 520 | _aQuantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers. This volume focuses on quantum variants of machine learning algorithms, such as quantum neural networks, quantum reinforcement learning, quantum principal component analysis, quantum support vectors, quantum Boltzmann machines, and many more | ||
| 546 | _aEng | ||
| 650 | _aMachine learning | ||
| 650 |
_aQuantum computing _98569 |
||
| 700 | 1 |
_aRaj, Pethuru _95900 |
|
| 700 | 1 |
_aSong, Houbing Herbert _913657 |
|
| 700 | 1 |
_aLe, Dac-Nhuong _913658 |
|
| 700 | 1 |
_aVyas, Narayan _913659 |
|
| 942 | _cBK | ||
| 999 |
_c141424 _d141424 |
||