carljbarHello Quantum world! Anybody out there interested in talking about #quantum #computing?
ivana 🐢@carljbar why not, i'm very new on here and i'm in the field. :)
@happyturtlethings Thanks for the response! I am also new to #quantum #programming. Just got started on #qiskit. Trying to understand if there is value. Let me know if you have found an interesting place to get started!
@carljbar I might be biased, but I work for Xanadu, the company that maintains PennyLane (less popular than Qiskit, but probably done with more forethought), and there are literally >100 detailed demos on https://pennylane.ai/ that let you directly copy code into a Jupyter notebook and be on your way.
A good way to check out applications and get a head start. That's what I'd do if I was just getting started. :)
@happyturtlethings very cool! I have heard about PennyLane but I have yet to try it. I will give it a go.
@carljbar neat! if you get stuck anywhere, the team is super helpful on the forum and socials.
are you actually studying quantum tech, or?
are you actually studying quantum tech, or?
@happyturtlethings Great! I am doing this out of curiosity right now. It will be interesting to see where this takes me. #quantum has always fascinated me. The fact that we can now program this in #python seems very powerful. The PennyLane ecosystem seems very cool.
@happyturtlethings I finally found time to run and understand the PennyLane #Grover algorithm notebook. It is pretty cool. I was thinking of looking next at applied problems. One of interest is #ProteinFolding and the other is #PortfolioOptimization. Let me know if you have any recommendations.
@carljbar Oh, I'm glad you liked it, one of my friends wrote that one. :)
If I were you, I'd probably check out a very basic demo on quantum machine learning next (maybe variational classifier?) so you get a primer or ML, and then start checking out some applied projects, or taking some data yourself and trying things out.
If I were you, I'd probably check out a very basic demo on quantum machine learning next (maybe variational classifier?) so you get a primer or ML, and then start checking out some applied projects, or taking some data yourself and trying things out.