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Qibo · v0.3.6
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Qibo · v0.3.6

Introduction

  • Getting started
    • Why Qibo?
    • Quick start
    • Backend drivers
    • Installation instructions
  • Code examples
    • Basic examples
    • Advanced examples
    • Classical shadows tutorial
    • State tomography tutorial
    • Process tomography tutorial
    • Applications
      • Grover’s Algorithm for solving Satisfiability Problems
      • Adiabatic evolution for solving an Exact Cover problem
      • Scaling of variational quantum circuit depth for condensed matter systems
      • Grover’s Algorithm for solving a Toy Sponge Hash function
      • Quantum unary approach to option pricing
      • Determining the proton content with a quantum computer
      • Anomaly detection with variational quantum circuits
      • Quantum Singular Value Decomposer
      • Measuring the tangle of three-qubit states
      • Simple Adiabatic Evolution Examples
      • Shor’s factorization algorithm
      • Maximal violation of Bell inequalities variationally
      • Feedback-based ALgorithm for Quantum OptimizatioN - FALQON
      • A General Grover Model
      • Variational Quantum Classifier
      • Data reuploading for a universal quantum classifier
      • Parameter Shift Rule for an hardware-compatible Variational Quantum Regressor
      • Quantum autoencoder for data compression
      • Quantum autoencoders with enhanced data encoding
      • Quantum Fourier Iterative Amplitude Estimation
      • Quantum Convolutional Neural Network Classifier
      • Quantum k-medians clustering
      • Determining probability density functions with adiabatic quantum computing
      • Scaling of variational quantum circuit depth for condensed matter systems
      • Variational Quantum Classifier
      • Data reuploading for a universal quantum classifier
      • Parameter Shift Rule for an hardware-compatible Variational Quantum Regressor
      • Quantum autoencoder for data compression
      • Quantum Singular Value Decomposer
      • Measuring the tangle of three-qubit states
      • Quantum autoencoders with enhanced data encoding
      • Quantum unary approach to option pricing
      • Maximal violation of Bell inequalities variationally
      • Determining the proton content with a quantum computer
      • Anomaly detection with variational quantum circuits
      • Quantum Convolutional Neural Network Classifier
      • Determining probability density functions with adiabatic quantum computing
      • Grover’s Algorithm for solving Satisfiability Problems
      • Grover’s Algorithm for solving a Toy Sponge Hash function
      • A General Grover Model
      • Quantum Fourier Iterative Amplitude Estimation
      • Shor’s factorization algorithm
      • Simple Adiabatic Evolution Examples
      • Adiabatic evolution for solving an Exact Cover problem
      • Feedback-based ALgorithm for Quantum OptimizatioN - FALQON
      • Applications by topic
        • Grover’s Algorithm for solving Satisfiability Problems
        • Adiabatic evolution for solving an Exact Cover problem
        • Scaling of variational quantum circuit depth for condensed matter systems
        • Grover’s Algorithm for solving a Toy Sponge Hash function
        • Quantum unary approach to option pricing
        • Determining the proton content with a quantum computer
        • Anomaly detection with variational quantum circuits
        • Quantum Singular Value Decomposer
        • Measuring the tangle of three-qubit states
        • Simple Adiabatic Evolution Examples
        • Shor’s factorization algorithm
        • Maximal violation of Bell inequalities variationally
        • Feedback-based ALgorithm for Quantum OptimizatioN - FALQON
        • A General Grover Model
        • Variational Quantum Classifier
        • Data reuploading for a universal quantum classifier
        • Parameter Shift Rule for an hardware-compatible Variational Quantum Regressor
        • Quantum autoencoder for data compression
        • Quantum autoencoders with enhanced data encoding
        • Quantum Fourier Iterative Amplitude Estimation
        • Quantum Convolutional Neural Network Classifier
        • Quantum k-medians clustering
        • Determining probability density functions with adiabatic quantum computing
      • Applications by algorithm
        • Scaling of variational quantum circuit depth for condensed matter systems
        • Variational Quantum Classifier
        • Data reuploading for a universal quantum classifier
        • Parameter Shift Rule for an hardware-compatible Variational Quantum Regressor
        • Quantum autoencoder for data compression
        • Quantum Singular Value Decomposer
        • Measuring the tangle of three-qubit states
        • Quantum autoencoders with enhanced data encoding
        • Quantum unary approach to option pricing
        • Maximal violation of Bell inequalities variationally
        • Determining the proton content with a quantum computer
        • Anomaly detection with variational quantum circuits
        • Quantum Convolutional Neural Network Classifier
        • Determining probability density functions with adiabatic quantum computing
        • Grover’s Algorithm for solving Satisfiability Problems
        • Grover’s Algorithm for solving a Toy Sponge Hash function
        • A General Grover Model
        • Quantum Fourier Iterative Amplitude Estimation
        • From block encodings to quantum signal processing and quantum singular value transformation
        • Shor’s factorization algorithm
        • Simple Adiabatic Evolution Examples
        • Adiabatic evolution for solving an Exact Cover problem
        • Feedback-based ALgorithm for Quantum OptimizatioN - FALQON
        • Quantum k-medians clustering

Main documentation

  • Concepts
    • Circuit fusion
    • Clifford Simulation
    • Simulation of Hamming-weight-preserving circuits
  • API Reference
    • Models
    • Gates
    • Channels
    • Noise
    • Hamiltonians
    • Symbols
    • Execution Outcomes
    • Callbacks
    • Solvers
    • Optimizers
    • Parameter and Gradients
    • Quantum Information
      • Basis
      • Phase-space Representation of Stabilizer States
      • Entanglement measures
      • Entropy measures
      • Metrics
      • Linear Algebra Operations
      • Quantum Networks
      • Random Ensembles
      • Superoperator Transformations
      • Utility Functions
    • Tomography
    • Transpiler
    • Parallelism
    • Backends
    • Configuration
    • Models for High Energy Physics
    • User Interface
  • Developer guides
    • Code overview
    • How to contribute?

Appendix

  • Publications

Documentation links

  • Qibo docs
  • Qibolab docs
  • Qibocal docs
  • Qibosoq docs
  • Qibochem docs
  • Qiboml docs
  • Qibotn docs
  • Qibo-cloud-backends docs
  • Qiboopt docs
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Quantum Information#

This module provides tools for generation and analysis of quantum (and classical) information.

  • Basis
  • Phase-space Representation of Stabilizer States
  • Entanglement measures
  • Entropy measures
  • Metrics
  • Linear Algebra Operations
  • Quantum Networks
  • Random Ensembles
  • Superoperator Transformations
  • Utility Functions
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Basis
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Parameter and Gradients
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