Monte Carlo methods

Quantum Trajectory Theory

Quantum Trajectory Theory (QTT) is a formulation of quantum mechanics used for simulating open quantum systems, quantum dissipation and single quantum systems. It was developed by Howard Carmichael in the early 1990s around the same time as the similar formulation, known as the quantum jump method or Monte Carlo wave function (MCWF) method, developed by Dalibard, and Mølmer. Other contemporaneous works on wave-function-based Monte Carlo approaches to open quantum systems include those of Dum, Zoller and , and Hegerfeldt and Wilser. QTT is compatible with the standard formulation of quantum theory, as described by the Schrödinger equation, but it offers a more detailed view. The Schrödinger equation can be used to compute the probability of finding a quantum system in each of its possible states should a measurement be made. This approach is fundamentally statistical and is useful for predicting average measurements of large ensembles of quantum objects but it does not describe or provide insight into the behaviour of individual particles. QTT fills this gap by offering a way to describe the trajectories of individual quantum particles that obey the probabilities computed from the Schrödinger equation. Like the quantum jump method, QTT applies to open quantum systems that interact with their environment. QTT has become particularly popular since the technology has been developed to efficiently control and monitor individual quantum systems as it can predict how individual quantum objects such as particles will behave when they are observed. (Wikipedia).

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Related pages

Density matrix | Quantum stochastic calculus | Julia (programming language) | Schrödinger equation | Wave function collapse | Monte Carlo method | Quantum jump method | QuTiP | MATLAB | Stochastic | Stochastic process | Heterodyne | Measurement problem