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### 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 proc…
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For an upcoming demo, we need cuQuantum to accept CUDA-Q circuits into the CircuitToEinsum function [here](https://docs.nvidia.com/cuda/cuquantum/latest/python/api/generated/cuquantum.CircuitToEinsum.…
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Currently, all Hamiltonians must be specified as a f(t), Hop pair. For time-independent Hamiltonian technically one can achieve this by passing a function f such that f(t) =1 for all t. However, this …
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There's a few things that can be cleaned up with these classes, notably the methods `diagonal_coulomb`, `diagonal`, etc. Some of these can just be inferred from the type, i.e. using `isinstance(ham, D…
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To better align with the naming in the paper, the existing `Hamiltonian` class should be renamed to `ModularHamiltonian` everywhere.
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### Feature details
Hi all,
I am trying to use Pennylane to solve time evolution problems, where the Hamiltonian is time-dependent.
With the `ApproxTimeEvolution(H, t, n)` method, I am able to…
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Objective: WAP to solve Hamiltonian Cycle Problem in your preferred language with the best possible Time and Space complexity.
Add it to the existing "Backtracking" directory otherwise create it.
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Hamiltonian Monte Carlo (HMC) is a widely used, gradient based, MCMC algorithm, that is the backbone of Stan's inference. I plan to implement it for monad-bayes. Todos (checkboxes indicate things done…
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### Required prerequisites
- [X] Search the [issue tracker](https://github.com/NVIDIA/cuda-quantum/issues) to check if your feature has already been mentioned or rejected in other issues.
### Descri…
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It would be useful to expose the creation of Hamiltonians / general operators by directly providing the matrices of the harmonics.
The interface could be the following:
```
h = hamiltonian(lat,…