[feature] Quantum optimization algorithms | D-Wave

[nhpf]

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Describe the solution you'd like Add quantum computing optimization algorithms to the current alternatives for the runpp function.

Describe alternatives you've considered Integrate D-Wave solutions to allow quantum algorithms to be used with their hardware. The requests would be made with their Python SDK.

Additional context @pedroSGui is working with Power Flow for his thesis and he brought to my attention that quantum algorithms perform better optimizations in certain scenarios, while there pandapower allows him to easily describe power systems. His idea is that it would be great to connect those two.

I am willing to make that integration to help him, and this may be a great opportunity for a PR here. Are the organizers @e2nIEE interested into this feature? Perhaps relying on a third-party (D-Wave) for that new set of algorithms may not be aligned with this project's intent, so I'm making sure to ask you first here!

[PedroSGui]

Dear maintainers and contributors of the pandapower project,

I hope this message finds you well. I would like to bring to your attention a topic that has not yet received widespread attention in the literature: Quantum Power Flow. While it remains an area with limited exploration, some authors have demonstrated its feasibility. This concept involves formulating a quantum optimization problem, which can be solved leveraging the computational power of D-Wave machines.

Despite the uncertainties surrounding the capabilities and potential of this technology, there is a growing need for developing a quantum power flow solver to assess its performance and to further evaluate the technology's promise.

We believe that pandapower could serve as an excellent starting point for such a project, given its well-established framework for electrical networks and the ability to compare the outcomes of the quantum algorithm with conventional methods such as DC or Newton-Raphson approaches.

Please note that this project is not affiliated with any institution, and we are open to discussing further details or collaborations. You may reach me at pedro.souzagui021@gmail.com to initiate a conversation.

Thank you for considering our proposal. We look forward to hearing from you and exploring the potential of quantum power flow within the pandapower framework.

Best regards

[vogt31337]

@ascheidl @nhpf @PedroSGui are there any updates? I personally think quantum powerflow isn't the best option, rather improving the opf like a quantum opf would be really interesting. What do you think of qiskit? Since debugging will be rather complicated...