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September 13, 2020 11:58
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Superdense coding and teleportation in Cirq
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{ | |
"nbformat": 4, | |
"nbformat_minor": 0, | |
"metadata": { | |
"colab": { | |
"name": "Superdense coding and teleportation in Cirq", | |
"provenance": [], | |
"collapsed_sections": [], | |
"authorship_tag": "ABX9TyPbmxRn1Y4EacORjavzzM3G", | |
"include_colab_link": true | |
}, | |
"kernelspec": { | |
"name": "python3", | |
"display_name": "Python 3" | |
} | |
}, | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "view-in-github", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"<a href=\"https://colab.research.google.com/gist/csferrie/fd97d7fc037110af21b5a26c7f74609e/superdense-coding-and-teleportation-in-cirq.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "xV7VUIMwH2IT", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"# Superdense coding and teleportation in Cirq\n", | |
"\n", | |
"This exercise is part of [Lab 6](https://medium.com/@csferrie/superdense-coding-and-quantum-teleportation-in-three-quantum-programming-languages-3fe7032d1dbc) of [Introduction to Quantum Computing](https://medium.com/@csferrie/introduction-to-quantum-computing-df9e1182a831).\n", | |
"\n", | |
"This notebook provides implementation of superdense coding and teleportation in the [Cirq](https://cirq.readthedocs.io/en/stable/) quantum programming language." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "zp0yynx1I9Jl", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"# Cirq installation\n", | |
"\n", | |
"The first step is to install cirq. Installation instructions are available in the documentation for Cirq here: https://cirq.readthedocs.io/en/stable/index.html." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "MFG2OUCoyJY1", | |
"colab_type": "code", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 34 | |
}, | |
"outputId": "8a51cc1b-3e0e-4ac1-91e5-57c54a577536" | |
}, | |
"source": [ | |
"# install cirq\n", | |
"!pip install cirq --quiet" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"\u001b[K |████████████████████████████████| 1.4MB 2.6MB/s \n", | |
"\u001b[?25h" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "M7uLB5v1JtHm", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"Obviously we need to import cirq. But we will also need numpy later." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "zRiG_m_fTIRG", | |
"colab_type": "code", | |
"colab": {} | |
}, | |
"source": [ | |
"import cirq\n", | |
"import numpy as np" | |
], | |
"execution_count": null, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "r1NMu4QBTTV2", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"# Superdense coding\n", | |
"\n", | |
"[Superdense coding](https://en.wikipedia.org/wiki/Superdense_coding) is a protocol that allows the tranmission of two classical bits of information using 1 qubit of information. \n", | |
"\n", | |
"This, the simplest implementation in Cirq, accompanies the [lecture](https://medium.com/@csferrie/my-first-quantum-protocol-de336d290322) on the same topic.\n", | |
"\n", | |
"Let's get started. The first thing Alice and Bob need to do is create entanglement.\n", | |
"\n", | |
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)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "lCK97MrEWMjn", | |
"colab_type": "code", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 68 | |
}, | |
"outputId": "ef4f782a-270e-4e4a-cdd8-f37f0895702a" | |
}, | |
"source": [ | |
"# create two qubits\n", | |
"alice = cirq.NamedQubit('alice')\n", | |
"bob = cirq.NamedQubit('bob')\n", | |
"\n", | |
"# create cirquit\n", | |
"superdense = cirq.Circuit()\n", | |
"\n", | |
"# add your gates (aka \"moments\")\n", | |
"superdense.append([\n", | |
" cirq.H(alice),\n", | |
" cirq.CNOT(alice,bob)\n", | |
" ])\n", | |
"\n", | |
"print(superdense)" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"alice: ───H───@───\n", | |
" │\n", | |
"bob: ─────────X───\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "CFm4NQNbVMAa", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"Now Alice needs to encode her message. There are four possibilities. \n", | |
"\n", | |
"If Alice wants to send\n", | |
"* 00, she does nothing;\n", | |
"* 01, she performs an $X$ gate;\n", | |
"* 10, she performs a $Z$ gate;\n", | |
"* 11, she performs $XZ$.\n", | |
"\n", | |
"Let's say Alice choses 11. \n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "sCAKLdh3V26d", | |
"colab_type": "code", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 68 | |
}, | |
"outputId": "f14bdc17-a6e9-422b-d4cf-ebd2ddc4bbb8" | |
}, | |
"source": [ | |
"superdense.append([\n", | |
" cirq.X(alice),\n", | |
" cirq.Z(alice)\n", | |
" ])\n", | |
"\n", | |
"print(superdense)" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"alice: ───H───@───Z───\n", | |
" │\n", | |
"bob: ─────────X───────\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "tsEySC0hWVN0", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"Now Alice sends her qubit to Bob. Bob unentangles them." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "4fg_HryHWdJN", | |
"colab_type": "code", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 68 | |
}, | |
"outputId": "56474866-7035-473e-c656-23c8da4b2751" | |
}, | |
"source": [ | |
"superdense.append([\n", | |
" cirq.CNOT(alice,bob), \n", | |
" cirq.H(alice)\n", | |
" ])\n", | |
"\n", | |
"print(superdense)" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"alice: ───H───@───Z───@───H───\n", | |
" │ │\n", | |
"bob: ─────────X───────X───────\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "R2CSMU5gXQGk", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"Finally Bob measures both qubits." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "72XXxbakXTW6", | |
"colab_type": "code", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 68 | |
}, | |
"outputId": "d1d3631f-a0b3-4b7a-b9ec-0100cce39998" | |
}, | |
"source": [ | |
"superdense.append(cirq.measure(alice, bob, key='received'))\n", | |
"\n", | |
"print(superdense)" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"alice: ───H───@───Z───@───H───M('received')───\n", | |
" │ │ │\n", | |
"bob: ─────────X───────X───────M───────────────\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "otFJsni1YnMW", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"Let's simulate this circuit." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "QiBXRNvKYCFg", | |
"colab_type": "code", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 34 | |
}, | |
"outputId": "b758bae9-8a6c-40b1-bcfe-cd279c9e490f" | |
}, | |
"source": [ | |
"simulator = cirq.Simulator()\n", | |
"message = simulator.run(superdense, repetitions=1)\n", | |
"\n", | |
"print(message)" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"received=1, 0\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "jVofPW1XuIoP", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"Huzzah! It works. Now you try to create a better implementation that doesn't involve hard-coding Alice's message in." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"colab_type": "text", | |
"id": "-5vVz9psB-2l" | |
}, | |
"source": [ | |
"# Teleportation\n", | |
"\n", | |
"[Quantum teleportation](https://en.wikipedia.org/wiki/Quantum_teleportation) is a protocol that allows the tranmission of 1 qubit of information using two classical bits of information.\n", | |
"\n", | |
"This, the simplest implementation in cirq, accompanies the [lecture](https://medium.com/@csferrie/my-first-quantum-protocol-de336d290322) on the same topic.\n", | |
"\n", | |
"\n", | |
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| |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "guo2WRncDRa1", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"The first thing we'll do is create the state Alcie wants to teleport. Let's pick a \"random\" state. Here I've chose a $Y$-axis rotation of $\\pi/4$. " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"colab_type": "code", | |
"id": "_uBy17t7CS_e", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 34 | |
}, | |
"outputId": "0ba023eb-0ab5-4344-b6d6-f8d7d5843b36" | |
}, | |
"source": [ | |
"msg = cirq.NamedQubit('msg')\n", | |
"\n", | |
"teleportation = cirq.Circuit()\n", | |
"\n", | |
"teleportation.append(cirq.ry(np.pi/4)(msg))\n", | |
"\n", | |
"print(teleportation)" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"msg: ───Ry(0.25π)───\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "zNyyhOKzbemY", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"Let's take a look at the state and compare it to the state when the protocol is complete later." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "OPPFg2XZbarl", | |
"colab_type": "code", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 34 | |
}, | |
"outputId": "7a579495-b0b7-499a-c031-653233420fb7" | |
}, | |
"source": [ | |
"simulator = cirq.Simulator()\n", | |
"\n", | |
"alice_message = simulator.simulate(teleportation)\n", | |
"\n", | |
"print(alice_message.final_state)" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"[0.9238795 +0.j 0.38268343+0.j]\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "N898apnLiG9c", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"Alice and Bob need to entangle their qubits. This is done with the $H$ and $CNOT$ gates." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "HpdwhUQBb_82", | |
"colab_type": "code", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 102 | |
}, | |
"outputId": "9e848391-b9fd-48b8-8fab-31f84f10a8ad" | |
}, | |
"source": [ | |
"alice = cirq.NamedQubit('alice')\n", | |
"bob = cirq.NamedQubit('bob')\n", | |
"\n", | |
"teleportation.append([\n", | |
" cirq.H(alice),\n", | |
" cirq.CNOT(alice, bob)\n", | |
" ])\n", | |
"\n", | |
"print(teleportation)" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"alice: ───H───────────@───\n", | |
" │\n", | |
"bob: ─────────────────X───\n", | |
"\n", | |
"msg: ─────Ry(0.25π)───────\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "roS4qY3sAsh_", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"Alice needs to perform an \"entangled\" measurement. She can do this by running the standard $H + CNOT$ circuit in reverse." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "Hw8Rcz8kcOjz", | |
"colab_type": "code", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 102 | |
}, | |
"outputId": "5c08de0e-37ac-49e9-e013-f9db73fa25e1" | |
}, | |
"source": [ | |
"teleportation.append([\n", | |
" cirq.CNOT(msg, alice),\n", | |
" cirq.H(msg)\n", | |
" ])\n", | |
"\n", | |
"print(teleportation)" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"alice: ───H───────────@───X───────\n", | |
" │ │\n", | |
"bob: ─────────────────X───┼───────\n", | |
" │\n", | |
"msg: ─────Ry(0.25π)───────@───H───\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "c_JZhWI1A-5I", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"Alice measures her two qubits. In cirq we can control on these registers which will assumed to be classical after the measurement." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "_mstAC3BcjV3", | |
"colab_type": "code", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 102 | |
}, | |
"outputId": "a2cf03c6-a633-4bee-fd4e-d5d4075a9da1" | |
}, | |
"source": [ | |
"teleportation.append(cirq.measure(msg, alice))\n", | |
"\n", | |
"print(teleportation)" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"alice: ───H───────────@───X───────M───\n", | |
" │ │ │\n", | |
"bob: ─────────────────X───┼───────┼───\n", | |
" │ │\n", | |
"msg: ─────Ry(0.25π)───────@───H───M───\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "jaE40zTMBRdm", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"Assuming Bob now has received the two bits from Alice's measurement, he performs the conditional operations $X$ and $Z$." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "BB-RquG6c2co", | |
"colab_type": "code", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 102 | |
}, | |
"outputId": "28e3e394-c5dc-44b6-a3e2-b039e12b4e59" | |
}, | |
"source": [ | |
"teleportation.append([\n", | |
" cirq.CNOT(alice, bob),\n", | |
" cirq.CZ(msg, bob)\n", | |
" ])\n", | |
"\n", | |
"print(teleportation)" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"alice: ───H───────────@───X───────M───@───────\n", | |
" │ │ │ │\n", | |
"bob: ─────────────────X───┼───────┼───X───@───\n", | |
" │ │ │\n", | |
"msg: ─────Ry(0.25π)───────@───H───M───────@───\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "tIW5Wn9LBbZQ", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"In principle, that is it! Let's run the simulation again to see if Alice's state has been teleported." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"metadata": { | |
"id": "ZvKsTw4YdT1x", | |
"colab_type": "code", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 34 | |
}, | |
"outputId": "5d4911b1-8ded-4169-9eca-523a5cb739a9" | |
}, | |
"source": [ | |
"bob_received = simulator.simulate(teleportation)\n", | |
"print(bob_received.final_state[[1,3]]) # the state is a 3-qubit state, you need to play around to find the correct indices of Bob's qubit" | |
], | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"text": [ | |
"[0.92387944+0.j 0.38268343-0.j]\n" | |
], | |
"name": "stdout" | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "2i3dkPcHBh2b", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"Excellent! Now it's your turn. Here we wrote an ugly script if it's put all together. Why don't you create your own functions to perform teleportation of any state?" | |
] | |
} | |
] | |
} |
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