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> Tequila is an Extensible Quantum Information and Learning Architecture where the main goal is to simplify and accelerate implementation of new ideas for quantum algorithms. It operates on abstract data structures allowing the formulation, combination, automatic differentiation and optimization of generalized objectives. Tequila can execute the underlying quantum expectation values on state of the art simulators as well as on real quantum devices.
https://github.com/tequilahub/tequila#quantum-backends
Quantum Backends currently supported by tequilahub/tequila: Qulacs, Qibo, Qiskit, Cirq, PyQuil, QLM, myQLM)
tequila-tutorials/Quantum_Calculator.ipynb https://github.com/tequilahub/tequila-tutorials/blob/main/Qu... :
> Welcome to the Tequila Calculator Tutorial. In this tutorial, you will learn how to create a quantum circuit that simulates addition using Tequila. We also compare the performance of various backends that Tequila uses.
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tequila-tutorials
This repository contains tutorials on various functionalities of the Tequila library.
> Tequila is an Extensible Quantum Information and Learning Architecture where the main goal is to simplify and accelerate implementation of new ideas for quantum algorithms. It operates on abstract data structures allowing the formulation, combination, automatic differentiation and optimization of generalized objectives. Tequila can execute the underlying quantum expectation values on state of the art simulators as well as on real quantum devices.
https://github.com/tequilahub/tequila#quantum-backends
Quantum Backends currently supported by tequilahub/tequila: Qulacs, Qibo, Qiskit, Cirq, PyQuil, QLM, myQLM)
tequila-tutorials/Quantum_Calculator.ipynb https://github.com/tequilahub/tequila-tutorials/blob/main/Qu... :
> Welcome to the Tequila Calculator Tutorial. In this tutorial, you will learn how to create a quantum circuit that simulates addition using Tequila. We also compare the performance of various backends that Tequila uses.
