Hello, we have developed as a company a peer reviewed quantum machine learning model. we are interesting in leveraging singularity ned as a platform for our model. It is universal in the sense that it can be integrated with keras models so you can do whatever you want fraud detection / forecasting etc. Would that be a good add for singularity? let me know
Thank you in advance!!
Hello @nsansen , do you have any links to the peer reviewed (or other) materials please?
Hello Phil, Absolutely!
The paper which was awared as top 100 most downloadable papers for 2022 from Nature portfolio : https://link.springer.com/content/pdf/10.1038/s41598-022-14876-6.pdf
A simple demo code officially published in the Xanadu/ Pennylan blog : Quantum-Machine-Learning/Pennylane DEMO v4.ipynb at main · nsansen/Quantum-Machine-Learning · GitHub
3 more papers are under review at this moment (it is quite a fresh breakthrough for us)
I think that should be sufficient, but i can provide more.