Did some notebook disappear ?
Hi !
I looked arround a bit, maybe a month ago, and I can't find some notebooks. Are some ressources missing ?
In particular I remember about a notebook on the TSP, which is also referenced in this post
https://support.dwavesys.com/hc/en-us/community/posts/360028972434-TSP-Traveling-Salesman-Problem-
But the link is broken. Are these ressources definitely not accessible ?
Bests,
Comments
Hi Simon,
The TSP notebook is not currently accessible to users with developer account. It looks like you have a developer account, so that's why the link appears to be broken when you click on it. There is an Ocean function that solves the TSP problem given a map of locations though. Here's a link:
https://docs.ocean.dwavesys.com/projects/dwave-networkx/en/latest/reference/algorithms/tsp.html#
Hope that helps!
Thanks for the informtion.
Well, that's unfortunate. Is there some way that I would have to access it ?
Would you by chance know about a notebook of any "real application" in optimisation similar to the TSP ? Maybe something similar to the VW project ? I read the example on map coloring.
Yes, users on a custom contract have access to the TSP notebook and other resources. If you are interested in this option feel free to contact sales@dwavesys.com
Have you taken a look at the demo repo on Github? There are quite a few real world examples with explanations on how to set up a problem and then program it with Ocean. The demos aren't Jupyter notebooks, so you'll need to have Ocean installed if you want to run the code. Alternatively you could add the code to an existing Jupyter notebook and run it that way.
I would be interested, but since I'm a student I don't think I have the budget or possibilities to make a custom contract.
Yes I found that repo. I played with it a bit but I was looking for something more on the implementing side.
I found some other ressources and code transforming TSP to QUBO. With some rewritting I managed to get a program solving TSP on the DWave Sampler.
Thanks for the information!
We have Research and Education Plans that are designed to be more accessible for students, instructors and researchers if you're interested.
Thanks for your feedback about the demo repo not being quite what you were looking for. It's helpful for us to hear about which resources are useful for learning about our system.
That's great you wrote a program to solve TSP on the QPU!
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