bsiegelwax Goto Github PK
Name: Brian N. Siegelwax
Type: User
Bio: Quantum algorithm designer and author of "Dungeons & Qubits" and "Choose Your Own Quantum Adventure." Writes at https://medium.com/@bsiegelwax.
Twitter: BSiegelwax
Brian N. Siegelwax's Projects
784-dimensional-quantum-mnist
Quantum MNIST using amplitude encoding instead of dimensionality reduction.
maximum-quantum-classification
This was an attempt to push the limits of the IBM cloud quantum computing simulator.
no-ancilla-mcx
A no-ancilla MCX submission for the 2022 Classiq Coding Competition.
quantum-classification
Quantum Machine Learning (QML) does not require quantum neural networks. SWAP Tests can be used to easily perform classification tasks.
quantum-classification-of-amplitudes
This is non-optimized code intended solely to test whether or not quantum classification works with amplitude encoding.
quantum-clustering-and-classification
Quantum clustering and classification in one circuit, written exclusively in OpenQASM.
quantum-imperfect-cloning
NOT cloning quantum states, but trying to get as close as possible.
quantum-inspired-mnist
Inspired by quantum classification, this is MNIST with no models, no weights, no activation functions, no optimizers, nor anything else that resembles traditional MNIST implementations.
quantum-mnist
MNIST classification of handwritten digits on a quantum computing simulator using OpenQASM.
standard-deviation-mnist
"Quantum-Inspired MNIST" achieved 72% accuracy using nothing but means, addition, and subtraction. This experiment adds standard deviations.
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