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Books > Science & Mathematics > Physics > Quantum physics (quantum mechanics)
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Modelling Non-Markovian Quantum Systems Using Tensor Networks (Hardcover, 1st ed. 2020)
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Modelling Non-Markovian Quantum Systems Using Tensor Networks (Hardcover, 1st ed. 2020)
Series: Springer Theses
Expected to ship within 10 - 15 working days
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This thesis presents a revolutionary technique for modelling the
dynamics of a quantum system that is strongly coupled to its
immediate environment. This is a challenging but timely problem. In
particular it is relevant for modelling decoherence in devices such
as quantum information processors, and how quantum information
moves between spatially separated parts of a quantum system. The
key feature of this work is a novel way to represent the dynamics
of general open quantum systems as tensor networks, a result which
has connections with the Feynman operator calculus and process
tensor approaches to quantum mechanics. The tensor network
methodology developed here has proven to be extremely powerful: For
many situations it may be the most efficient way of calculating
open quantum dynamics. This work is abounds with new ideas and
invention, and is likely to have a very significant impact on
future generations of physicists.
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