Expanding functionality and enhancing documentation of scQubits, an open-source Python package for superconducting qubits

Abstract

Circuits made of superconductors provide a promising route for constructing the hardware needed in a future quantum computer. Inside a quantum processor, superconducting circuits can act as quantum bits (short: qubits), the elementary building blocks replacing ordinary bits. These qubits can be controlled and read out accurately with the help of microwaves in a well-established experimental framework, and are the focus of intense research worldwide. A fundamental prerequisite for the design and fabrication of superconducting qubits, as well as for the quantitative analysis of experimental data collected in experiments, is the capability to predict quantum properties of superconducting circuits, including energy levels and other important characteristics. The calculation of these properties can generally not be reduced to simple mathematical formulae, but rather requires numerical computer simulations. The scQubits package (released 12/2019) is a library of Python routines that aims to provide all relevant computational tools in an accessible, user-friendly way. It currently includes models of several commonly used superconducting qubits, and provides efficient code to calculate and visualize central characteristics of superconducting qubits.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2021
Source ID
FA95502010271

Entities

People

  • Jens Koch

Organizations

  • Air Force Office of Scientific Research
  • Northwestern University
  • United States Air Force

Tags

Fields of Study

  • Physics

Readers

  • Database Systems and Applications
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Superconducting Magnet Technology

Technology Areas

  • Quantum Computing
  • Quantum Science - Quantum Dots