CircuitQ: An open-source toolbox for superconducting circuits

Abstract

We introduce CircuitQ, an open-source toolbox for the analysis of superconducting circuits implemented in Python. It features the automated construction of a symbolic Hamiltonian of the input circuit and a dynamic numerical representation of the Hamiltonian with a variable basis choice. Additional features include the estimation of the T1 lifetimes of the circuit states under various noise mechanisms. We review previously established circuit quantization methods and formulate them in a way that facilitates the software implementation. The toolbox is then showcased by applying it to practically relevant qubit circuits and comparing it to specialized circuit solvers. Our circuit quantization is applicable to circuit inputs from a large design space, and the software is open-sourced. We thereby add an important resource for the design of new quantum circuits for quantum information processing applications.

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Cited by in corpus (8)

• Hamiltonian Extrema of an Arbitrary Flux-Biased Josephson Circuit
• DEC-QED: A flux-based 3D electrodynamic modeling approach to superconducting circuits and materials
• A Review of Design Concerns in Superconducting Quantum Circuits
• SQuADDS: A validated design database and simulation workflow for superconducting qubit design
• Bound states in the continuum in a fluxonium qutrit
• Resilient superconducting-element design with genetic algorithms
• A method for the numerical analysis of hybrid lumped-distributed superconducting quantum circuits
• Utilizing discrete variable representations for decoherence-accurate numerical simulation of superconducting circuits