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!!
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Hello @nsansen , do you have any links to the peer reviewed (or other) materials please?
Hello Phil, Absolutely!
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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
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A simple demo code officially published in the Xanadu/ Pennylan blog : Quantum-Machine-Learning/Pennylane DEMO v4.ipynb at main ยท nsansen/Quantum-Machine-Learning ยท GitHub
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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.
Thank you!
NS
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