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. The software implementation is capable of choosing the basis in a fully automated fashion based on the potential energy landscape. Additional features include the estimation of the T 1 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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 01, 2022
Source ID
10.1088/1367-2630/ac8cab

Entities

People

  • Philipp Aumann
  • Tim Menke
  • William D Oliver
  • Wolfgang Lechner

Organizations

  • Austrian Science Fund
  • Defense Advanced Research Projects Agency
  • Horizon 2020
  • Intelligence Advanced Research Projects Activity
  • Office of the Director of National Intelligence

Tags

Fields of Study

  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Integrated Circuit Design and Technology.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • Quantum Computing
  • Space