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| 001 | 387567 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230326104057.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2017 sz | s |||| 0|eng d | ||
| 020 | _a9783031025204 | ||
| 024 | 7 |
_a10.1007/978-3-031-02520-4 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTJ211 _b2017 EB |
|
| 100 | 1 |
_aTandon, Prateek _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687625 _c(Computer scientist) |
|
| 245 | 1 | 0 |
_aQuantum Robotics : _bA Primer on Current Science and Future Perspectives _cby Prateek Tandon, Stanley Lam, Ben Shih, Tanay Mehta, Alex Mitev, Zhiyang Ong |
| 250 | _a1st edition 2017 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2017 |
|
| 300 | _a1 recurso en línea (XVI, 133 páginas) | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aSynthesis Lectures on Quantum Computing _x1945-9734 |
|
| 505 | 0 | _aPreface -- Acknowledgments -- Notation -- Introduction -- Relevant Background on Quantum Mechanics -- Quantum Search -- Quantum Agent Models -- Machine Learning Mechanisms for Quantum Robotics -- Quantum Filtering and Control -- Current Strategies for Quantum Implementation -- Conclusion -- Bibliography -- Authors' Biographies -- Index. | |
| 520 | _aQuantum robotics is an emerging engineering and scientific research discipline that explores the application of quantum mechanics, quantum computing, quantum algorithms, and related fields to robotics. This work broadly surveys advances in our scientific understanding and engineering of quantum mechanisms and how these developments are expected to impact the technical capability for robots to sense, plan, learn, and act in a dynamic environment. It also discusses the new technological potential that quantum approaches may unlock for sensing and control, especially for exploring and manipulating quantum-scale environments. Finally, the work surveys the state of the art in current implementations, along with their benefits and limitations, and provides a roadmap for the future. | ||
| 988 | _aSynthesis Collection of Technology_2017 | ||
| 700 | 1 |
_aLam, Stanley _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687626 |
|
| 700 | 1 |
_aShih, Ben _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687627 |
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| 700 | 1 |
_aMehta, Tanay _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687628 |
|
| 700 | 1 |
_aMitev, Alex _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687629 |
|
| 700 | 1 |
_aOng, Zhiyang _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687630 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783031013928 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031036484 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02520-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b03/2023 _dz _esc _zSI |
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