NadavClassiq
NadavClassiq
Hello @Yuvan010! Thank you for proposing to implement Quantum Federated Learning (QFL) using Classiq. That sounds like a cool idea! However, I do have a concern—while Classiq supports integration with...
Sounds great, the optimization is indeed local, so there is no issue with that. The rest (1,2) is also perfectly suitable. Good luck!
It sounds like an interesting project, @VidurangaLanders! After briefly reading, I believe that we would be glad to have such a contribution in our repository! Please note that we accept...
Hello @atomnoid ! Thank you for this PR. We will review it in the upcoming days and get back to you.
Hello @atomnoid! I just approved and merged an older PR that corrects the same mistake. Thank you very much for your attention!
Hi @negarvahid! We are looking for high-quality contributions to our library, and you are welcome to implement this paper! Please note that we accept contributions that meet the library's standards....
Hello @Tatgithub02 ! I assigned you. Please note that it requires a lot of deep knowledge of quantum. Also, please note that we accept high-quality implementations to our repository and...
Hi @Tatgithub02! Please use `git pull` or `git fetch` + `git rebase`, it was moved to algorithm folder :)
Hello @Kamalirajendiran03 ! Thank you for your proposal on Quantum-Assisted Portfolio Optimization Using Classiq's Circuit Synthesis Please include a summary with a link to the relevant paper of your proposal...
Sound great @Kamalirajendiran03, Good luck!