Skip to content
Applications
Running Q.TEA
Documentation
Documentation qtealeaves
Documentation qmatchatea
Documentation qredtea
Publications
About us
People
Partners
Contacts
Events
Applications
Running Q.TEA
Documentation
Documentation qtealeaves
Documentation qmatchatea
Documentation qredtea
Publications
About us
People
Partners
Contacts
Events
Home
Quantum
Tensor network Emulator Applications
The Python software package
Applications
Quantum TEA Leaves
Solving Schrödinger/Lindblad equation
Quantum Matcha TEA
Running quantum circuits
Quantum Red TEA
Tooling for switching between tensor backends
Quantum Chai TEA
Tensor network machine learning
Coming soon
Read more
Install Quantum TEA
Select values to generate command
Application
Schrödinger/Lindblad
Quantum circuits
Machine learning
Tensor library
Numpy
PyTorch
Symmetric tensors
Enabled
Disabled
Installation type
Pip
Source code
select values to generate the command
Copy
What can you do with Quantum TEA?
Choose the ansatz
Choose between 1D, 2D, and 3D lattice
Choose the tensor backend
Choose the algorithm
Closed systems
Ground-state search
Variational DMRG
MPS, TTN
Imaginary time evolution
MPS, TTN
Excited-state search
Variational DMRG
TTN
Dynamics
TDVP
MPS, TTN
Open systems
Thermal equilibrium
Imaginary time evolution
LPTN, TTO
Dynamics
Quantum trajectories
TTN
Lindblad equation time evolution
TTO
Quantum circuits
Define and run a quantum circuit (integration with Qiskit available)
Quantum optimization
Quantum circuit compilation
Check out
VulQano
QUBO solver