{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Resource Estimation for Integer Factoring\n",
"\n",
"In this notebook we calculate resource estimates for a 2048-bit integer factoring application based on the implementation described in [[Quantum 5, 433 (2021)](https://quantum-journal.org/papers/q-2021-04-15-433/)]. Our implementation incorporates all techniques described in the paper, except for carry runways and semi-classical Fourier transform. As tolerated error budget, we choose $\\epsilon = 1/3$.\n",
"\n",
"We start by loading the Q# implementation of the algorithm."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import qsharp\n",
"from qsharp_widgets import EstimatesOverview\n",
"\n",
"with open(\"EkeraHastadFactoring.qs\", \"r\") as f:\n",
" qsharp.eval(f.read())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here are some RSA integers to choose from, taken from this [extensive list](https://en.wikipedia.org/wiki/RSA_numbers#RSA-2048). Add and remove comments to pick the number you'd like to estimate, and feel free to add other numbers."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# RSA-100 (330 bits)\n",
"rsa_number = 1522605027922533360535618378132637429718068114961380688657908494580122963258952897654000350692006139\n",
"\n",
"# RSA-1024 (1024 bits)\n",
"# rsa_number = 135066410865995223349603216278805969938881475605667027524485143851526510604859533833940287150571909441798207282164471551373680419703964191743046496589274256239341020864383202110372958725762358509643110564073501508187510676594629205563685529475213500852879416377328533906109750544334999811150056977236890927563\n",
"\n",
"# RSA-2048 (2048 bits)\n",
"# rsa_number = 25195908475657893494027183240048398571429282126204032027777137836043662020707595556264018525880784406918290641249515082189298559149176184502808489120072844992687392807287776735971418347270261896375014971824691165077613379859095700097330459748808428401797429100642458691817195118746121515172654632282216869987549182422433637259085141865462043576798423387184774447920739934236584823824281198163815010674810451660377306056201619676256133844143603833904414952634432190114657544454178424020924616515723350778707749817125772467962926386356373289912154831438167899885040445364023527381951378636564391212010397122822120720357"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next, we estimate the resource estimates for all default qubit parameter configurations."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"estimates = qsharp.estimate(f\"EkeraHastad({rsa_number.bit_length()}, {rsa_number}L, 7L)\", [\n",
" {\"errorBudget\": 0.333, \"qubitParams\": {\"name\": \"qubit_gate_ns_e3\"}},\n",
" {\"errorBudget\": 0.333, \"qubitParams\": {\"name\": \"qubit_gate_ns_e4\"}},\n",
" {\"errorBudget\": 0.333, \"qubitParams\": {\"name\": \"qubit_gate_us_e3\"}},\n",
" {\"errorBudget\": 0.333, \"qubitParams\": {\"name\": \"qubit_gate_us_e4\"}},\n",
" {\"errorBudget\": 0.333, \"qubitParams\": {\"name\": \"qubit_maj_ns_e4\"}, \"qecScheme\": {\"name\": \"floquet_code\"}},\n",
" {\"errorBudget\": 0.333, \"qubitParams\": {\"name\": \"qubit_maj_ns_e6\"}, \"qecScheme\": {\"name\": \"floquet_code\"}}\n",
"])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"And finally, we present all resource estimates in an overview table and space-time plot."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"EstimatesOverview(\n",
" estimates,\n",
" colors=[\"#1f77b4\", \"#ff7f0e\", \"blue\", \"red\", \"green\", \"yellow\"],\n",
" runNames=[\"Gate ns e3, surface\", \"Gate ns e4, surface\", \"Gate us e3, surface\", \"Gate us e4, surface\", \"Majorana ns e4, floquet\", \"Majorana ns e6, floquet\"]\n",
")"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 4
}microsoft/qdk
Publicmirrored from https://github.com/microsoft/qdkAvailable
samples/estimation/estimation-factoring.ipynb
101lines · modepreview