Writing & Notes

Towards Quantum Machine Learning

1. Series intro·Aug 2022·5 min

   Towards Quantum Machine Learning

   A short history of quantum computing from Feynman to Shor, how "quantum machine learning" became its own field, and the four ways data and devices combine — CC, QC, CQ, QQ.

   Quantum MLMotivation

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2. Episode 01·Aug 2022·7 min

   Information Encoding: Basis Encoding

   Before a quantum model can learn from classical data, the data has to get into the qubits. A tour of the encoding options — basis, amplitude, qsample, dynamic, angle — then a step-by-step build of basis encoding.

   EncodingQuantum ML

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Deep Learning

1. Deep Learning·Jul 2022·8 min

   Generative Adversarial Networks

   Where GANs sit among generative models, the generator-vs-discriminator game and its Nash equilibrium, how training actually works, the non-saturating cost trick, and the DCGAN recipe.

   GANsGenerative Models

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These are mirrored from my Medium profile ↗. More on the way.