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MorphQ Software

DOI DOI

MorphQ is a software to automatically test the Qiskit quantum computing platform using metamorphic testing. The MorphQ software is open source and you find all the relevant source files in the lib folder.

You can run MorphQ with two objectives:

  1. Replication Package Level 1: reproduce paper's results.
  2. Replication Package Level 2: run new testing campaigns to find new bugs in Qiskit. or compare your new testing method against MorphQ. (Note: you can also use our method in the Qdiff configuration to compare against QDiff transformations.)

Paper

MorphQ: Metamorphic Testing of the Qiskit Quantum Computing Platform

Matteo Paltenghi, Michael Pradel. IEEE/ACM International Conference on Software Engineering

Getting Started

  1. Check that your setup meets the REQUIREMENTS.md.
  2. Follow the installation instructions in INSTALL.md.

Note: if you are more familiar with docker or you are having trouble with the installation on your system, you can also build a docker image based on Ubuntu. We provide a Dockerfile which will configure an Ubuntu container containing all you need to run MorphQ. See DOCKER.md for instructions. We recommend reading this README first and then the docker instructions.

Reproduce the Paper Figures (Level 1)

This replication level allows other researcher to independently reproduce the results of our paper starting from the experimental data we collected during our empirical evaluation.

Follow this steps:

  1. Download the datasets used in our evaluation section from this link.

  2. unzip the archive. And copy the folders qmt_v52 and qmt_v53 in the data directory.

  3. to open jupyter notebook, run the following in your terminal:

    conda activate MorphQ
jupyter notebook

  4. In the jupyter notebook web interface, navigate to and execute top-to-bottom the following notebook: notebooks/RQs_Reproduce_Analysis_Results.ipynb.

Inspect the warnings found during our empirical evaluation: To see the warnings described in our empirical evaluation of the paper refer to the warnings/program_pairs folder. There you will find a subfolder for each program pair which contains:

  • the source quantum program: source.py
  • the follow-up quantum program generated via metamorphic transformations: follow-up.py
  • the metadata of the generation of the program pair: metadata.json
  • the metadata of the execution of the program pair: metadata_exec.json
  • an anonymized screenshot of the issue page: program_code.pdf

Run MorphQ For a New Testing Campaign (Level 2)

This guide is intended for researchers who want to:

  1. run their own testing campaigns to find new bugs in Qiskit with MorphQ,
  2. compare MorphQ with a novel automatic testing approach of the Qiskit platform.

A MorphQ run is configured via a YAML file, read next to learn how to configure your own run. The one used for our experiment are store in the config folder:

  • qmt_v53.yaml: configuration file used for our experiment for the actual MorphQ.
  • qmt_v52.yaml: configuration file used for our experiment for the QDiff-Transformations.

Some important fields in the config file are:

  • experiment_folder: the folder where the data will be stored.
  • generation_strategy: the strategy to use to generate the source quantum programs. You can tweak the parameters to define their size: min_n_qubits, max_n_qubits, min_n_ops, max_n_ops; and the basic gates used: gate_set. Note: in case you want to change the program generator at all, you can simply plug a different object in the generator_object field, remember to use the same interface of the QiskitFuzzer class in the lib/generation_strategy_python.py file.
  • max_transformations_per_program: the max number of metamorphic transformations to apply to each program in a chain.
  • transformation_mode: the metamorphic transformation to apply, either morphq or qdiff.
  • morphq_metamorphic_strategies: the metamorphic transformation to apply for the morphq mode.
  • qdiff_metamorphic_strategies: the metamorphic transformation to apply for the qdiff mode.
  • coverage_settings_filepath: the path to the coverage settings, typically a .cover file. You can find some examples in the config folder.

We prepared a convenient way to generate a new configuration file from a template.

  1. run the following command: 
    python3 -m lib.generate_new_config --version 01
  2. type the number to select the morphq_demo.yaml template. You should get the following output: 
    Available Templates:
1. morphq_demo.yaml
2. morphq.yaml
3. qdiff_demo.yaml
4. qdiff.yaml
Choose a template: 1
Setting file created: ./config/qmt_v01.yaml

Creating coverage file:
Coverage file created:: config/qmt_v01.cover

Creating experiment folder:
mkdir -p data/qmt_v01/
Experiment folder created: data/qmt_v01/

Excluding experiment folder from gitignore:
echo 'data/qmt_v01/' >> .gitignore
Added to .gitignore: data/qmt_v01/

Example commands:

- Simple experiment run (no monitoring):
python3 -m lib.qmt config/qmt_v01.yaml

- Experiment run (monitoring via screen):
screen -L -Logfile data/qmt_v01/log_fuzzy.txt -S qmt_v01 python3 -m lib.qmt config/qmt_v01.yaml
  3. The you can run the MorphQ, either without the monitoring or with the monitoring (using screen), as mentioned in the output. 
    - Simple experiment run (no monitoring):
python3 -m lib.qmt config/qmt_v01.yaml

- Experiment run (monitoring via screen):
screen -L -Logfile data/qmt_v01/log_fuzzy.txt -S qmt_v01 python3 -m lib.qmt config/qmt_v01.yaml
    Note: if you do not have screen installed, you can install it with sudo apt install screen.
  4. If you used the monitoring setup, you will find the log at the specified path (e.g., data/qmt_v01/log_fuzzy.txt). And it should contain what you see in the terminal. An example is shown belowe: 
    tarting loop... [no timer]
Data file:  data/qmt_v01/coverage.db
--------- New programs pair... [timer: 120 sec] (2023-01-17-13:25:56) ----------
Applying: MetamorphicTransformation(ToQasmAndBack)
Follow: add 'qc' conversion to and from QASM (before: EXECUTION)
Applying: MetamorphicTransformation(ChangeTargetBasis)
Follow: gateset replaced with:  ['ccx', 'h']
Applying: MetamorphicTransformation(ChangeTargetBasis)
Follow: gateset replaced with:  ['rx', 'ry', 'rz', 'p', 'cx']
N. applied transformations:  3
Executing: 381b90a6f912482f90076c971f2f7074 (2023-01-17-13:25:57)
Exceptions from execution: {'source': None, 'followup': '"Cannot unroll the circuit to the given basis, [\'rx\', \'ry\', \'rz\', \'p\', \'cx\']. Instruction id not found in equivalence library and no rule found to expand."'}
--------- New programs pair... [timer: 120 sec] (2023-01-17-13:25:57) ----------
Applying: MetamorphicTransformation(ToQasmAndBack)
Follow: add 'qc' conversion to and from QASM (before: OPTIMIZATION_LEVEL)
Applying: MetamorphicTransformation(InjectParameters)
Follow: from concrete values to parameters (12/18):{'p_a0b579': 0.14709460241864125, 'p_2d234e': 2.7426492410962213, 'p_4aca1b': 1.4655643254447606, 'p_45c5e7': 1.2941054775314977, 'p_079834': 1.297948790230138, 'p_7cd8ae': 4.883628121581527, 'p_afbea1': 5.665169039628415, 'p_761208': 1.8300494450884037, 'p_6baf69': 2.5947845640969898, 'p_098317': 4.818497722767661, 'p_134a27': 5.236334390147421, 'p_e21ca9': 3.219605809291016}
Applying: MetamorphicTransformation(AddUnusedRegister)
Follow: add QuantumRegister(1)
N. applied transformations:  3
Executing: f41d90fd3cb94e6f925f07c0a20e2a48 (2023-01-17-13:25:58)
Exceptions from execution: {'source': None, 'followup': None}
i*: 0
--------- New programs pair... [timer: 120 sec] (2023-01-17-13:25:59) ----------
Applying: MetamorphicTransformation(ChangeOptLevel)
Follow: optimization level changed: 1 -> 0
Applying: MetamorphicTransformation(ToQasmAndBack)
Follow: add 'qc' conversion to and from QASM (before: EXECUTION)
Applying: MetamorphicTransformation(ChangeOptLevel)
Follow: optimization level changed: 0 -> 2
Applying: MetamorphicTransformation(ChangeCouplingMap)
Follow: coupling map changed: None -> [[0, 1], [1, 0], [1, 2], [2, 1]]
N. applied transformations:  4
Executing: 7e5582035ba3412eb8d8dba421cf6549 (2023-01-17-13:25:59)
Exceptions from execution: {'source': None, 'followup': None}
i*: 0
  5. Congratulation! MorphQ is running!
  6. If you want to stop the experiment, you can do it by pressing Ctrl+C in the terminal. If you used the monitoring setup, you can also do it by typing screen -S qmt_v01 -X quit in the terminal.

Extra Utilities: Inspect Warnings of Your Run

Here we describe where to find and how to inspect the warnings generated by MorphQ.

The relevant warnings of your run will be stored in a the qfl.db sqlite database in the data/qmt_vXX/ folder. To inspect them use the notebook notebooks/Demo_Warnings_Manual_Inspection.ipynb. Remember to update the EXP_FOLDER = "qmt_v53" cell to point ot the actual qmt_vXX folder of your run.

Extra Run: QDiff-Transformations

To run the QDiff pipeline, just pick a qdiff template when prompted by running:

python3 -m lib.generate_new_config --version 02

Extra Details: Using Your Own Settings

Before starting your test run, you need to prepare some configuration files in the data config folder.

  1. create a qmt_vXX.yaml file in the config folder. On this file you can set almost all the parameters of the test. Including the metamorphic relationships to use (via the metamorphic_strategies field) and the program generation mechanism (via the generation_strategy field).

IMPORTANT: Remember to update the two field: experiment_folder to point to the data folder (e.g., data/qmt_vXX/) and coverage_settings_filepath to point to the file containing the coverage settings (e.g., config/qmt_vXX.cover).

  1. create a qmt_vXX.cover file in the config folder. On this file you can set the coverage settings.

IMPORTANT: update the data_file field to specify the final name of the coverage database in the correct data folder (e.g., data/qmt_vXX/.coverage).

  1. (optional) to avoid that the generated programs are processed by the git installation add the data folder to your .gitignore file.
data/qmt_vXX/*

Troubleshooting

Some questions you might ask yourself are:

  1. Did you install and activate the conda environment? via conda activate MorphQ