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
Categories
Quantum ComputingLicense
MIT LicenseFollow Tequila
Other Useful Business Software
Build Securely on AWS with Proven Frameworks
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Tequila!