Tensor-Based Quantum Machine Learning
With TensorLy-Quantum, you can easily:
Create quantum circuit: .
Leverage tensor methods: the state vectors are efficiently represented in factorized form as Tensor-Rings (MPS) and the operators as TT-Matrices (MPO)
Efficient simulation: tensorly-quantum leverages the factorized structure to efficiently perform quantum simulation without ever forming the full, dense operators and state-vectors
Multi-Basis Encoding: we provide multi-basis encoding out-of-the-box for scalable experimentation
Solve hard problems: we provide all the tools to solve the MaxCut problem for an unprecendented number of qubits / vertices