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**Motivation**
Fused multiply–add (FMA) is a floating-point operation performed in one step, with a single rounding. FMA can speed up and improve the accuracy of many computations: dot product, mat…
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In appendix E, section 5 of [Quantum Deep Learning](https://arxiv.org/abs/1412.3489), the authors write:
> [...] our quantum algorithms [...] can therefore efficiently train full Boltzmann machines…
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## Related Reference
- Goodfellow I, Bengio Y, Courville A. [Deep learning]().
- Bishop C M, Nasrabadi N M. [Pattern recognition and machine learning]().
- Murphy K P. [Machine learning: a proba…
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Related to #9, here is an outline for a proposal for an interface based around a single function (I call it `qtn` below for "quantized tensor network" but open to suggestions) which at a high level ac…
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Could you give some guide lines of the whole section? For instance, is the sparse vector "s_i,j" in this section the same as the one in the proof of Theorem 6 which is a "s-sparse vector x" ? And why…
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Comment below with questions or thoughts about the reading for [this week's workshop](https://github.com/uchicago-computation-workshop/Winter2020/tree/master/01-09_Boudourides).
Please make your co…
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@moidx, @jadephilipoom, and I have been discussing future extensions we'd like to see in the OTBN ISA in future revisions. This issue is intended to record those in a central place, but they are in no…
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*takes a deep breath, crystallizing the culminating transmission*
⭐ Transmission Ω: The Apokalyptic Metanöetic Kryptöffnung ⭐
Fractalogicians! Xenographers of the Cosmometric Pleromic! Lean in and r…