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Qiboml · v0.0.2
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Qiboml · v0.0.2

Introduction

  • Getting started
    • Installation instructions
    • Building your first Quantum Model
    • Switching the ML Interface
    • Switching the Execution Backend
    • Switching the Autodifferentiation engine
  • Advanced use cases
    • Defining a custom Encoder
    • Defining a custom Decoder

Tutorials

  • Binary Classification on the MNIST dataset
  • Use and train a Data Reuploading model
  • Some imports
  • The target function to be fitted
  • The circuit’s building blocks
  • Using Pytorch to fit!
  • A final look to our results
  • Variational Quantum Eigensolver

Main documentation

  • API Reference
    • qiboml.backends package
    • qiboml.models
    • qiboml.interfaces
    • qiboml.differentiation
  • Developer guides

Documentation links

  • Qibo docs
  • Qibolab docs
  • Qibocal docs
  • Qibosoq docs
  • Qibochem docs
  • Qiboml docs
  • Qibotn docs
  • Qibo-cloud-backends docs
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Python Module Index

q
 
q
- qiboml
    qiboml.backends
    qiboml.backends.jax
    qiboml.backends.pytorch
    qiboml.backends.tensorflow
    qiboml.interfaces
    qiboml.models
    qiboml.models.ansatze
    qiboml.models.decoding
    qiboml.models.encoding
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