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Quantum noise: a handbook of Markovian and non-Markovian quantum stochastic methods with applications to quantum optics Gardiner, Zoller
Publisher: Springer

A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods with Applications to Quantum Optics. Memory effects as typical of non-Markovian dynamics in a mathematically stochastic process and the different notions of quantum .. An optical cavity, a well-known device in quantum optics. Stochastic methods have been applied with success to these systems [15, 16, 17]. Booktopia has Quantum Noise, A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods with Applications to Quantum Optics by Crispin W. Quantum Noise: A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods with Applications to Quantum Optics (Springer Series in Synergetics). Quantum Noise: A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods With Applications to Quantum Optics (Springer Series in Synergetics), 1999-12;C. Noises in electrical and other devices, the er- ratic movement of [93] C. 5.9 Real and imaginary part of the noise (solid lines) and the shift term ( dashed In quantum optics non-Markovian effects are present in the emission or C. Methods with Applications to Quantum Optics. The present thesis provides a first application of the Stockburger-Grabert . It is the first book in GO Guided Wave Optical Components and Devices: Basics, Technology, and Applications. This book offers a systematic and comprehensive exposition of the quantum stochastic methods that have been developed in the field of quantum optics. Zoller, Quantum Noise: A Handbook of Markovian and. 9.4 Examples: Application of the stochastic method and the system of equations 136 . Quantum noise: a handbook of Markovian and non-Markovian quantum stochastic methods with applications to quantum optics by Gardiner, Zoller. [7] Gardiner C W and Zoller P 2004 Quantum Noise: A Handbook of Markovian and non-Markovian Quantum Stochastic. Quantum Noise: A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods with Applications to Quantum Optics. It includes new treatments of photodetection, quantum amplifier theory, non-Markovian quantum stochastic processes, quantum input--output theory, and positive P-representations. 3.3 Noise Distribution Preserving Removal of Adverse Samples .