QuTiP: Quantum Toolbox in Python
4.6
  • Frontmatter
  • Installation
  • Users Guide
    • Guide Overview
    • Basic Operations on Quantum Objects
    • Manipulating States and Operators
    • Using Tensor Products and Partial Traces
    • Time Evolution and Quantum System Dynamics
    • Solving for Steady-State Solutions
    • Two-time correlation functions
    • Quantum Optimal Control
    • Plotting on the Bloch Sphere
    • Visualization of quantum states and processes
    • Parallel computation
    • Saving QuTiP Objects and Data Sets
    • Generating Random Quantum States & Operators
    • Modifying Internal QuTiP Settings
    • Quantum Information Processing
      • Quantum Information Processing
      • Operator-level circuit simulation
      • Pulse-level circuit simulation
    • Measurement of Quantum Objects
  • Gallery
  • API documentation
  • Change Log
  • Developers
  • Development Documentation
  • Bibliography
QuTiP: Quantum Toolbox in Python
  • »
  • Users Guide »
  • Quantum Information Processing

Quantum Information Processing¶

  • Quantum Information Processing
    • Introduction
    • Quantum Circuit
    • Unitaries
    • Gates
    • Plotting a Quantum Circuit
    • Circuit simulation
  • Operator-level circuit simulation
    • Run a quantum circuit
    • Circuit simulator
    • Precomputing the unitary
    • Density Matrix Simulation
    • Import and export quantum circuits
  • Pulse-level circuit simulation
    • Modelling quantum hardware with Processor
    • Compiler and scheduler
    • Noise Simulation
    • Customize the simulator
    • The workflow of the simulator
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© Copyright 2011 and later, P.D. Nation, J.R. Johansson, A.J.G. Pitchford, C. Granade, A.L. Grimsmo, N. Shammah, S. Ahmed, N. Lambert, B. Li, J. Lishman, S. Cross, and E. Giguère. Last updated on Jun 02, 2021.

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