Welcome to TeD-Q’s documentation!

Contents:

• Backends
  • Overview
    • Wave function vector method
    • Tensor network method
  • Evaluation of the quantum circuit
    • CompiledCircuit
  • Supported Backends
    • JAX backend
    • PyTorch backend
• Interface
  • PyTorch interface
    • PytorchInterface
• Optimizer
  • Gradient Descent Optimizer
• Qinterpreter
  • Overview
  • Gates and Measurements
    • Abstract Base Class
    • Qauntum Gates
    • Quantum Mearsurements
  • Circuits
    • Storage Base Class
    • Circuit Parser
  • Circuits Viewer
• Templates
  • Base class for template circuit
  • Random-generated layer
  • Fully-connected layer
  • Hardware Efficient layer
• Contraction path optimizer
  • Overview of Jingdong Optimizer for Tensor Network
    • Abstraction of tensor network
    • Generate trials of contraction path
    • Slice the trial contraction path
    • Find the path with minimal computing cost
    • Compute the tensor network along the optimal path
• Examples
  • Qubit Rotation
  • QNN Circuit Examples
  • Quanvolution Neural Network
  • Quantum Transfer Learning
  • Simple Variational Quantum Eigensolver

Indices and tables

• Index

• Module Index

• Search Page