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Trapped Ion Quantum Computing
Superconducting Qubits
Quantum Simulation
Quantum Networks in Divergence-free Circuit QED
arXiv
Authors: A. Parra-Rodriguez, E. Rico, E. Solano, I. L. Egusquiza
Year
2017
Paper ID
24939
Status
Preprint
Abstract Read
~2 min
Abstract Words
195
Citations
N/A
Abstract
Superconducting circuits are one of the leading quantum platforms for quantum technologies. With growing system complexity, it is of crucial importance to develop scalable circuit models that contain the minimum information required to predict the behaviour of the physical system. Based on microwave engineering methods, divergent and non-divergent Hamiltonian models in circuit quantum electrodynamics have been proposed to explain the dynamics of superconducting quantum networks coupled to infinite-dimensional systems, such as transmission lines and general impedance environments. Here, we study systematically common linear coupling configurations between networks and infinite-dimensional systems. The main result is that the simple Lagrangian models for these configurations present an intrinsic natural length that provides a natural ultraviolet cutoff. This length is due to the unavoidable dressing of the environment modes by the network. In this manner, the coupling parameters between their components correctly manifest their natural decoupling at high frequencies. Furthermore, we show the requirements to correctly separate infinite-dimensional coupled systems in local bases. We also compare our analytical results with other analytical and approximate methods available in the literature. Finally, we propose several applications of these general methods to analog quantum simulation of multi-spin-boson models in non-perturbative coupling regimes.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2017 reference point for readers tracking recent quantum research.
- Superconducting circuits are one of the leading quantum platforms for quantum technologies.
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