{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "0d2cb51a", "metadata": { "execution": { "iopub.execute_input": "2024-03-26T19:01:34.824812Z", "iopub.status.busy": "2024-03-26T19:01:34.824524Z", "iopub.status.idle": "2024-03-26T19:01:34.827192Z", "shell.execute_reply": "2024-03-26T19:01:34.826764Z" }, "nbsphinx": "hidden" }, "outputs": [], "source": [ "# Copyright 2024 Keysight Technologies Inc." ] }, { "cell_type": "raw", "id": "dacc1170", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Example: Saving and Loading Objects to Disk\n", "===========================================\n", "\n", "|True-Q| objects can be saved to disk using the :py:func:`trueq.utils.save` function.\n", "They are saved in the Python `pickle `_\n", "serial binary format and then compressed. After these objects have been saved to disk,\n", "they can be reloaded into Python with the global :py:func:`trueq.utils.load` function.\n", "The saved file persists beyond the call to :py:func:`~trueq.utils.load` and can be\n", "reused.\n", "\n", "For :py:class:`~trueq.CircuitCollection`\\s, we provide a convenience wrapper that\n", "allows users to save collections by calling the\n", ":py:func:`trueq.CircuitCollection.save` method.\n", "\n", "Independently, many objects also include ``to_dict`` and ``from_dict`` methods, see\n", "for instance :py:meth:`~trueq.Circuit.to_dict` and\n", ":py:meth:`~trueq.Circuit.from_dict`\\. The dictionary formats contain only built-in\n", "Python objects.\n", "\n", ".. note ::\n", " The file extension ``.tq`` is encouraged, but not necessary." ] }, { "cell_type": "code", "execution_count": 2, "id": "6b06e3f0", "metadata": { "execution": { "iopub.execute_input": "2024-03-26T19:01:34.829056Z", "iopub.status.busy": "2024-03-26T19:01:34.828781Z", "iopub.status.idle": "2024-03-26T19:01:37.084808Z", "shell.execute_reply": "2024-03-26T19:01:37.084294Z" } }, "outputs": [], "source": [ "import os\n", "import trueq as tq" ] }, { "cell_type": "raw", "id": "0458765c", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Make SRB CircuitCollection on qubit 1, and populate it with results from a simulator." ] }, { "cell_type": "code", "execution_count": 3, "id": "05c695f9", "metadata": { "execution": { "iopub.execute_input": "2024-03-26T19:01:37.087648Z", "iopub.status.busy": "2024-03-26T19:01:37.087043Z", "iopub.status.idle": "2024-03-26T19:01:37.167053Z", "shell.execute_reply": "2024-03-26T19:01:37.166607Z" } }, "outputs": [], "source": [ "circuits = tq.make_srb(1, [4, 32, 64])\n", "tq.Simulator().add_overrotation(0.05).run(circuits, n_shots=1024)" ] }, { "cell_type": "raw", "id": "733c28f8", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Save the circuit collection with all metadata, cycles, and results to disk:" ] }, { "cell_type": "code", "execution_count": 4, "id": "6bc95ffd", "metadata": { "execution": { "iopub.execute_input": "2024-03-26T19:01:37.169096Z", "iopub.status.busy": "2024-03-26T19:01:37.168791Z", "iopub.status.idle": "2024-03-26T19:01:37.197819Z", "shell.execute_reply": "2024-03-26T19:01:37.197373Z" }, "lines_to_next_cell": 2 }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Saved file is 11358 bytes.\n" ] } ], "source": [ "# use a temporary folder so that this example doesn't make a mess\n", "with tq.utils.temp_folder():\n", " # the extension \".tq\" is arbitrary but encouraged\n", " circuits.save(\"my_circuits.tq\")\n", " file_size = os.path.getsize(\"my_circuits.tq\")\n", " print(f\"Saved file is {file_size} bytes.\")\n", "\n", " # load the circuits back to disk\n", " loaded_circuits = tq.load(\"my_circuits.tq\")" ] }, { "cell_type": "raw", "id": "7b79fa25", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "We have effectively made a deep copy of the original collection:" ] }, { "cell_type": "code", "execution_count": 5, "id": "44c9f1aa", "metadata": { "execution": { "iopub.execute_input": "2024-03-26T19:01:37.199815Z", "iopub.status.busy": "2024-03-26T19:01:37.199510Z", "iopub.status.idle": "2024-03-26T19:01:37.208160Z", "shell.execute_reply": "2024-03-26T19:01:37.207726Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "True\n", "True\n" ] } ], "source": [ "print(loaded_circuits is not circuits and loaded_circuits == circuits)\n", "print(loaded_circuits[0] is not circuits[0] and loaded_circuits[0] == circuits[0])" ] }, { "cell_type": "raw", "id": "c41cb4e6", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "In particular, all of the results and circuit contents have been preserved:" ] }, { "cell_type": "code", "execution_count": 6, "id": "647bac93", "metadata": { "execution": { "iopub.execute_input": "2024-03-26T19:01:37.210014Z", "iopub.status.busy": "2024-03-26T19:01:37.209716Z", "iopub.status.idle": "2024-03-26T19:01:37.415803Z", "shell.execute_reply": "2024-03-26T19:01:37.415342Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "loaded_circuits.plot.raw()" ] }, { "cell_type": "raw", "id": "2c08c28e", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Reducing file size\n", "------------------\n", "The filesize can be reduced by choosing to omit all circuit cycles from the saved\n", "object, or possibly by saving the fit object instead of the circuits; see the next\n", "subsection. This permanently erases this information if the object is also deleted\n", "from the active Python session. However, this may be worth it if lots of data is\n", "routinely being saved to disk since analysis routines depend only on circuit results\n", "and metadata contained in circuit keys, and not on cycles or gates in the circuit." ] }, { "cell_type": "code", "execution_count": 7, "id": "7e32ed7e", "metadata": { "execution": { "iopub.execute_input": "2024-03-26T19:01:37.418058Z", "iopub.status.busy": "2024-03-26T19:01:37.417667Z", "iopub.status.idle": "2024-03-26T19:01:37.649235Z", "shell.execute_reply": "2024-03-26T19:01:37.648783Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "This file is 6.51x smaller.\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "with tq.utils.temp_folder():\n", " # the extension \".tq\" is arbitrary but encouraged\n", " circuits.save(\"my_circuits2.tq\", include_cycles=False)\n", "\n", " size_ratio = file_size / os.path.getsize(\"my_circuits2.tq\")\n", " print(f\"This file is {size_ratio:.2f}x smaller.\")\n", "\n", " # load the circuits back to disk\n", " loaded_circuits2 = tq.load(\"my_circuits2.tq\")\n", "\n", "loaded_circuits2.plot.raw()" ] }, { "cell_type": "raw", "id": "356602de", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Saving other objects\n", "--------------------\n", "Many other |True-Q| objects can be stored to disk. Notably, we can store fit results,\n", "which may often be an even better method of file size reduction." ] }, { "cell_type": "code", "execution_count": 8, "id": "74051c4b", "metadata": { "execution": { "iopub.execute_input": "2024-03-26T19:01:37.651570Z", "iopub.status.busy": "2024-03-26T19:01:37.651112Z", "iopub.status.idle": "2024-03-26T19:01:37.847260Z", "shell.execute_reply": "2024-03-26T19:01:37.846798Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "This file is 14.49x smaller.\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "with tq.utils.temp_folder():\n", " tq.utils.save(circuits.fit(), \"my_fit.fit\")\n", "\n", " size_ratio = file_size / os.path.getsize(\"my_fit.fit\")\n", " print(f\"This file is {size_ratio:.2f}x smaller.\")\n", "\n", " loaded_fit = tq.load(\"my_fit.fit\")\n", "\n", "loaded_fit\n", "loaded_fit.plot.raw()" ] } ], "metadata": { "jupytext": { "cell_metadata_filter": "raw_mimetype,nbsphinx,-all", "main_language": "python", "notebook_metadata_filter": "-all", "text_representation": { "extension": ".py", "format_name": "percent" } }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 5 }