Skip to content

Instantly share code, notes, and snippets.

@goropikari
Created June 16, 2018 11:47
Show Gist options
  • Select an option

  • Save goropikari/371969f3861b2abc3742f17dc3f7ffda to your computer and use it in GitHub Desktop.

Select an option

Save goropikari/371969f3861b2abc3742f17dc3f7ffda to your computer and use it in GitHub Desktop.
OPENQASM 2.0;
include "qelib1.inc";
qreg q[2];
h q[0];
cx q[0],q[1];
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3.6.5 (default, May 11 2018, 04:00:52) \n",
"[GCC 8.1.0]\n",
"qiskit version: 0.5.4\n"
]
}
],
"source": [
"import sys, qiskit\n",
"print(sys.version)\n",
"print(\"qiskit version:\", qiskit.__version__)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from qiskit import load_qasm_string, load_qasm_file\n",
"from qiskit.tools.visualization import circuit_drawer\n",
"sys.path.append('./')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Create a circuit from string"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"OPENQASM 2.0;\n",
"include \"qelib1.inc\";\n",
"qreg q[2];\n",
"h q[0];\n",
"cx q[0],q[1];\n",
"\n"
]
}
],
"source": [
"qc = load_qasm_string(\"\"\"\n",
"OPENQASM 2.0; // \"OPENQASM 2.0;\" is not necessary.\n",
"include \"qelib1.inc\";\n",
"qreg q[2];\n",
"h q[0];\n",
"cx q[0], q[1];\n",
"\"\"\")\n",
"\n",
"print(qc.qasm())"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<PIL.Image.Image image mode=RGB size=261x87 at 0x7F47C2EBA550>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"circuit_drawer(qc)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Create a circuit from OpenQASM file"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"qc2 = load_qasm_file('bell.qasm')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<PIL.Image.Image image mode=RGB size=261x87 at 0x7F47C2DC6FD0>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"circuit_drawer(qc2)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
},
"toc": {
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"toc_cell": false,
"toc_position": {},
"toc_section_display": "block",
"toc_window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment