{ "nbformat": 4, "nbformat_minor": 2, "metadata": { "language_info": { "name": "python", "codemirror_mode": { "name": "ipython", "version": 3 }, "version": "3.7.4-final" }, "orig_nbformat": 2, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "npconvert_exporter": "python", "pygments_lexer": "ipython3", "version": 3, "kernelspec": { "name": "python37664bit4a25b23410344f6a8c1e61fdaa4cf3f1", "display_name": "Python 3.7.6 64-bit" } }, "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Implementing Quantum Algorithms" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This chapter consists a collection of notebooks showing how to use qulacs to study quantum computing algorithms" ] }, { "cell_type": "markdown", "metadata": { "nbsphinx-toctree": {} }, "source": [ "- [1.1 Quantum Circuit Learning](5.2_qcl.ipynb)\n", "- [1.2 Variational Quantum Eigensolver](6.2_vqe.ipynb)\n", "- [1.3 Subspace-Search Variational Quantum Eigensolver](6.3_ssvqe.ipynb)" ] } ] }