Quantum Feedback Networks: Hamiltonian Formulation
By John Edward Gough, Matthew R. James. 2008
198 citations recorded by the source corpus.
A quantum network is an open system consisting of several component Markovian input-output subsystems interconnected by boson field channels carrying quantum stochastic signals. Generalizing the work of Chebotarev and Gregoratti, we formulate the model description by prescribing a candidate Hamiltonian for the network including details of the component systems, the field channels, their interconnections, interactions and any time delays arising from the geometry of the network. (We show that the candidate is a symmetric operator and proceed modulo the proof of self- adjointness.) The model is non-Markovian for finite time delays, but in the limit where these delays vanish we recover a Markov model and thereby deduce the rules for introducing feedback into arbitrary quantum networks. The type of feedback considered includes that mediated by the use of beam splitters. We are therefore able to give a system-theoretic approach to introducing connections between quantum mechanical state-based input-output systems, and give a unifying treatment using non-commutative fractional linear, or Möbius, transformations.
Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics, Biomedical Engineering
View Paper: https://www.semanticscholar.org/paper/814c2c78c50d2f4b847f9b175cd5790007808dd7
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Citations in the corpus
- The Series Product and Its Application to Quantum Feedforward and Feedback Networks (2007, background): “For instance it can be derived from a purely Hamiltonian formalism for quantum networks [11], alternatively Gardiner’s arguments in the Heisenberg picture can be extended to include the scattering terms [12].”
- Squeezing Components in Linear Quantum Feedback Networks (2009, methodology): “In what follows we generalize this type of representation to our class of LQFNs (see also [9], [15]).”