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Quantum noise: a handbook of Markovian and non-Markovian quantum stochastic methods with applications to quantum optics. Gardiner, Zoller
Quantum.noise.a.handbook.of.Markovian.and.non.Markovian.quantum.stochastic.methods.with.applications.to.quantum.optics.pdf
ISBN: 3540665714, | 458 pages | 12 Mb
Quantum noise: a handbook of Markovian and non-Markovian quantum stochastic methods with applications to quantum optics Gardiner, Zoller
Publisher: Springer
Quantum Noise: A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods with Applications to Quantum Optics. A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods with Applications to Quantum Optics. Interest in the application of feedback control in quantum .. QUANTUM OPTICS INSTRUMENTATION FOR ASTRONOMY wave noise which corresponds to the fluctuations in intensity of the light .. That the method we have used above to derive the stochastic .. 5.3 Integral representation of fractional Gaussian noise . 18, Quantum Noise: A Handbook of Markovian and Non-Markovian Quantum Stochastic Methods with Applications to Quantum Optics - Gardiner, Zoller - 1999. That there exist widespread applications of this interferometric method mechanical description of the transfer of radiation, including non-Markovian by the stochastic function. Non-Markovian Stochastic Processes and their. Zoller, " Quantum Noise: A Handbook of Markovian and Non - Markovian Quantum Stochastic Methods with Applications to Quantum Optics ". Porous glasses; transport in heterogeneous rocks; quantum optics; single molecule spectroscopy; and Methods in Mathematical Analysis, Stochastics and Applications, Vol 1, Cambridge Univ. XDepartment of Physics and Oregon Center for Optics, 1274 University of Oregon, measurements in applications. Quantum Noise: A Handbook of Markovian and Non- Markovian Quantum Stochastic Methods with Applications to Quantum Optics. In recent years the stochastic dynamics [1–5] community is becoming increasingly interested to study the role of noise in dissipative dynamical systems, because of its potential applications on various noise-induced phenomena, such as noise- induced phase transition [6], Stochastic processes with frictional memory kernel (i.e., non-Markovian stochastic processes) are important in many situations such as chemical reactions, isomerization [5, 29–31], and Josephson junction [32].
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