Tequila Tutorials - Tutorials

Tequila Basics: Getting Started

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Tequila is a versatile framework for the development and execution of (variational) quantum algorithms. It provides a high-level abstraction that allows users to easily…

Tequila Basics: Circuits

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In this tutorial, you will get a brief introduction to tequila circuits.

Circuit Compiler

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A short tutorial on Gate Generators and Tequila’s compilation procedure

Georgios Tsilimigkounakis, Adapted by Ram Mosco

OpenQASMConversions

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In this tutorial, we’ll introduce OpenQASM, a key language for quantum programming and its use within IBM’s Qiskit framework.

Claudia Zendejas-Morales, Adapted by Elisabeth Welizky

Braket Module

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This is a tutorial to get to know the new Tequila’s function: braket.

Francesco Scala, Adapted by Ram Mosco

QTensor

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This tutorial introduces you to the QTensor class using which you can form vectors, matrices, or tensors whose elements are tequila objectives. This class is derived from…

Gaurav Saxena, Adapted by Elisabeth Welizky

Optimizer

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Explore the two different optimizers available through Tequila interfaces:
A native gradient descent (GD) optimizer, as well as interfaces for SciPy optimizers.

Sumner Alperin, Adapted by Thuy Truong

Krylov Method with Tequila

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In this tequila tutorial you can learn how to apply the Krylov method to approximate the ground state of a given Hamiltonian.

Francesco Scala, Adapted by Thuy Truong

Adaptive Methods in Variational Quantum Algorithms

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This notebook explores the implementation of adaptive quantum algorithms using the Tequila library, focusing on variational quantum eigensolvers (VQE).

Korbinian Stein, Adapted by Thuy Truong