PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Parallelization in the construction of Hamiltonians. Depending on the molecule this process can take a long time and if it can be parallelized it can mean a huge reduction in processing time.
Implementation
I have no idea of how to implement or if it is possible, but if possible this is a very important feature.
How important would you say this feature is?
3: Very important! Blocking work.
Additional information
Pennylane has the pyscf method which is faster then default method, but it’s a non-differentiable backend, so it may not be suitable in some cases.
Feature details
Parallelization in the construction of Hamiltonians. Depending on the molecule this process can take a long time and if it can be parallelized it can mean a huge reduction in processing time.
Implementation
I have no idea of how to implement or if it is possible, but if possible this is a very important feature.
How important would you say this feature is?
3: Very important! Blocking work.
Additional information
Pennylane has the pyscf method which is faster then default method, but it’s a non-differentiable backend, so it may not be suitable in some cases.