Tequila is an abstraction framework for (variational) 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.
Features
- Install from PyPi
- Recommended Python version is 3.8-3.9
- You can install tequila directly with pip
- Chemistry Hello World (Psi4 or PySCF backend)
- Chemistry Hello World (Madness backend)
- Some Research projects using Tequila
Project Samples
Categories
Quantum ComputingLicense
MIT LicenseFollow Tequila
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