Quantum Deep Learning · HackerPapers discussions

Quantum Deep Learning — mentioned by zmgsabst

Fri, 17 Jun 2022 17:05:54 GMT

There’s some research on AI, eg at Microsoft Research. https://arxiv.org/abs/1412.3489

Paper and discussion history. A mention is not an endorsement.

Quantum Deep Learning — mentioned by SomeStupidPoint

Mon, 25 Sep 2017 17:54:27 GMT

One of the people mentioned in the article, Svore, works at the QuArC group for MS and has worked on quantum machine learning. (QuArC generally works on how to actually design and use quantum computers.) For example: https://arxiv.org/pdf/1412.3489.pdf From my (shallow) understanding, you can get improvements by considering the space of possible states of your quantum system to be the space of weights for your model, and then annealing the quantum system (which is equivalent to optimizing the objective function). The quantum annealing is a (significant) improvement over other optimization…

Paper and discussion history. A mention is not an endorsement.

Quantum Deep Learning — mentioned by mastazi

Thu, 29 Sep 2016 01:10:24 GMT

From the article: > D-Wave’s quantum system runs a quantum annealing algorithm to find the lowest points in a virtual energy landscape representing a computational problem to be solved. In statistics and machine learning, this is great for finding optima in cost functions. The ideas in this paper are related: https://arxiv.org/abs/1412.3489v2

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Quantum Deep Learning — HN submission

Mon, 15 Dec 2014 23:37:40 GMT

Quantum Deep Learning

44 points; 14 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Quantum Deep Learning — HN submission

Sat, 13 Dec 2014 23:35:50 GMT

Quantum Deep Learning [pdf]

7 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.