001461801 000__ 04505cam\a2200649\i\4500 001461801 001__ 1461801 001461801 003__ OCoLC 001461801 005__ 20230503003411.0 001461801 006__ m\\\\\o\\d\\\\\\\\ 001461801 007__ cr\cn\nnnunnun 001461801 008__ 230329s2023\\\\sz\a\\\\ob\\\\001\0\eng\d 001461801 019__ $$a1374189998 001461801 020__ $$a9783031202452$$q(electronic bk.) 001461801 020__ $$a3031202457$$q(electronic bk.) 001461801 020__ $$z3031202449 001461801 020__ $$z9783031202445 001461801 0247_ $$a10.1007/978-3-031-20245-2$$2doi 001461801 035__ $$aSP(OCoLC)1374192941 001461801 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP 001461801 049__ $$aISEA 001461801 050_4 $$aTJ213 001461801 08204 $$a629.8028563843$$223/eng/20230329 001461801 1001_ $$aDong, Daoyi,$$eauthor. 001461801 24510 $$aLearning and robust control in quantum technology /$$cDaoyi Dong, Ian R. Petersen. 001461801 264_1 $$aCham :$$bSpringer,$$c[2023] 001461801 264_4 $$c©2023 001461801 300__ $$a1 online resource (xvii, 252 pages) :$$billustrations (chiefly color). 001461801 336__ $$atext$$btxt$$2rdacontent 001461801 337__ $$acomputer$$bc$$2rdamedia 001461801 338__ $$aonline resource$$bcr$$2rdacarrier 001461801 4901_ $$aCommunications and control engineering 001461801 504__ $$aIncludes bibliographical references and index. 001461801 5050_ $$aChapter 1. Introduction -- Chapter 2. Introduction to quantum mechanics and quantum control -- Chapter 3. Control and classification of inhomogeneous quantum ensembles -- Chapter 4. Sampling-based learning control of quantum systems with uncertainties -- Chapter 5. Machine learning for quantum control -- Chapter 6. Sliding mode control -- Chapter 7. Robust stability and performance analysis of quantum systems -- Chapter 8. H control and fault-tolerant control of quantum systems -- Chapter 9.Concluding remarks -- Index. 001461801 506__ $$aAccess limited to authorized users. 001461801 520__ $$aThis monograph provides a state-of-the-art treatment of learning and robust control in quantum technology. It presents a systematic investigation of control design and algorithm realisation for several classes of quantum systems using control-theoretic tools and machine-learning methods. The approaches rely heavily on examples and the authors cover: sliding mode control of quantum systems; control and classification of inhomogeneous quantum ensembles using sampling-based learning control; robust and optimal control design using machine-learning methods; robust stability of quantum systems; and H and fault-tolerant control of quantum systems. Both theoretical algorithm design and potential practical applications are considered. Methods for enhancing robustness of performance are developed in the context of quantum state preparation, quantum gate construction, and ultrafast control of molecules. Researchers and graduates studying systems and control theory, quantum control, and quantum engineering, especially from backgrounds in electrical engineering, applied mathematics and quantum information will find Learning and Robust Control in Quantum Technology to be a valuable reference for the investigation of learning and robust control of quantum systems. The material contained in this book will also interest chemists and physicists working on chemical physics, quantum optics, and quantum information technology. 001461801 588__ $$aDescription based on print version record. 001461801 650_0 $$aAutomatic control$$xData processing. 001461801 650_0 $$aMachine learning. 001461801 650_0 $$aQuantum computers. 001461801 655_0 $$aElectronic books. 001461801 7001_ $$aPetersen, Ian Richard,$$d1956-$$eauthor. 001461801 77608 $$iPrint version:$$aDONG, DAOYI. PETERSEN, IAN R.$$tLEARNING AND ROBUST CONTROL IN QUANTUM TECHNOLOGY.$$d[Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2023$$z3031202449$$w(OCoLC)1346351095 001461801 830_0 $$aCommunications and control engineering. 001461801 852__ $$bebk 001461801 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-20245-2$$zOnline Access$$91397441.1 001461801 909CO $$ooai:library.usi.edu:1461801$$pGLOBAL_SET 001461801 980__ $$aBIB 001461801 980__ $$aEBOOK 001461801 982__ $$aEbook 001461801 983__ $$aOnline 001461801 994__ $$a92$$bISE