qiskit-camp-africa-19
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Qiskit Camp Africa - December 11-14, 2019
# Abstract Computing the excited states of molecules is essential to the understanding of photochemical reactions and in turn to the design of new materials for e.g. solar cells. Last...
# Description This project converts given image dataset to quantum processable data(qubits) by utilizing PCA for dimensionality reduction and initial states for generating qubits. It can analyze the number of...
# Abstract Qiskit Ignis includes a simple example of quantum error correction, which can be used to benchmark near-term devices. There are things that could be improved, so let's do...
# Abstract This project implements the NeurIPS 2019 paper: q-means: A quantum algorithm for unsupervised machine learning https://papers.nips.cc/paper/8667-q-means-a-quantum-algorithm-for-unsupervised-machine-learning.pdf # Members - @githubhandle - @githubhandle - Slack: `@slackhandle` email: `[email protected]` -...
# Abstract An interesting optimizer has been proposed recently by Stokes et al which shows promise for use in VQE. Let’s implement it and test how well it works with...
# Abstract OpenPulse has no mock backend to test spin based quantum hardware. # Description Allow Qiskit to compile to a native gate set and decompose the gates to native...