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itsmeyour t1_j22iihb wrote

Reply to comment by chuckziss in Ford used a quantum computer to find better EV battery materials by upyoars

Oh man, if its not too much work for you. Already I feel like you helped me understand the layout of the land. I think I remember for a while the basic "can we entangle and hold" was the mission. Very much appreciate you

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chuckziss t1_j22jb9p wrote

I’m not sure about that quote, but my interpretation is that the mission is to store information in qubits for longer.

This is still largely true - current devices are bad at keeping information, and often you get qubit “decoherence” (decay/loss of information) such that you can no longer do anything useful with the information.

https://arxiv.org/abs/2111.14940 - talks about VQA which comprise VQE and QAOA. This paper does computing with many devices at once. It demonstrates things well, but the end result is still solving a trivial problem.

https://community.qiskit.org/textbook/ch-machine-learning/machine-learning-qiskit-pytorch.html - all the qiskit tutorials are great if you want hands on learning, but this just demonstrates the state of the art in combining classical and quantum machine learning. The end result is just an MNIST model… which is very doable with classical computing on its own.

I’ll leave it there, but happy to continue the conversation.

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