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Qiboml · v0.1.0
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Qiboml · v0.1.0

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
    • Defining a Calibrator
    • Building Equivariant Models

Tutorials

  • Binary Classification on the MNIST dataset
  • Use and train a Data Reuploading model
  • Variational Quantum Eigensolver
  • Variational Quantum Linear Solver

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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Advanced use cases#

We provide here some more in detail description of the ingredients quickly introduced in the getting-started section. In particular, a step-by-step guide on how to implement your own custom encoders and decoders is reported.

  • Defining a custom Encoder
  • Defining a custom Decoder
  • Defining a Calibrator
  • Building Equivariant Models
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Defining a custom Encoder
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Switching the Autodifferentiation engine
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