Quantum Fuzzy Inference Engine

QFIE is a Python package for building and executing Quantum Fuzzy Inference Engines. It implements the approach introduced in On the Implementation of Fuzzy Inference Engines on Quantum Computers.

Installation

QFIE requires Python 3.10 or later. Install the package from PyPI with:

pip install QFIE

To install the latest development version directly from the repository:

pip install "git+https://github.com/Quasar-UniNA/QFIE.git"

The complete user guide and examples are available in the QFIE documentation.

Research using QFIE

QFIE has been used in several application domains and extensions:

Particle accelerator control at CERN: Quantum Fuzzy Inference Engine for Particle Accelerator Control, IEEE Transactions on Quantum Engineering, 2024.
Edge detection on real NISQ hardware: Quantum Fuzzy Logic for Edge Detection: A Demonstration on NISQ Hardware, Applied Soft Computing, 2025.
Control systems for smart cities: Using Quantum Fuzzy Inference Engines in Smart Cities, FUZZ-IEEE 2024.
Interval type-2 Mamdani fuzzy systems: Hybrid Quantum-Classical Interval Type-2 Mamdani Fuzzy Systems, FUZZ-IEEE 2025.
Distribution across multiple NISQ devices: Distributing Fuzzy Inference Engines on Quantum Computers, FUZZ-IEEE 2023.

Citation

If you use QFIE in your research, please cite the foundational paper:

@article{acampora2023implementation,
  author  = {Acampora, Giovanni and Schiattarella, Roberto and Vitiello, Autilia},
  title   = {On the Implementation of Fuzzy Inference Engines on Quantum Computers},
  journal = {IEEE Transactions on Fuzzy Systems},
  volume  = {31},
  number  = {5},
  pages   = {1419--1433},
  year    = {2023},
  doi     = {10.1109/TFUZZ.2022.3202348}
}

BibTeX entries for QFIE applications and extensions

@article{acampora2024quantum,
  author    = {Acampora, Giovanni and Grossi, Michele and Schenk, Michael and Schiattarella, Roberto},
  title     = {Quantum Fuzzy Inference Engine for Particle Accelerator Control},
  journal   = {IEEE Transactions on Quantum Engineering},
  volume    = {5},
  pages     = {1--13},
  year      = {2024},
  publisher = {IEEE},
  doi       = {10.1109/TQE.2024.3374251}
}

@article{nunziata2025quantum,
  author    = {Nunziata, G. and Crisci, S. and De Gregorio, G. and Schiattarella, R. and Acampora, G. and Coraggio, L. and Itaco, N.},
  title     = {Quantum Fuzzy Logic for Edge Detection: A Demonstration on {NISQ} Hardware},
  journal   = {Applied Soft Computing},
  volume    = {185},
  pages     = {113866},
  year      = {2025},
  publisher = {Elsevier},
  doi       = {10.1016/j.asoc.2025.113866}
}

@inproceedings{acampora2024using,
  author    = {Acampora, Giovanni and Schiattarella, Roberto and Vitiello, Autilia},
  title     = {Using Quantum Fuzzy Inference Engines in Smart Cities},
  booktitle = {2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)},
  pages     = {1--8},
  year      = {2024},
  organization = {IEEE},
  doi       = {10.1109/FUZZ-IEEE60900.2024.10611863}
}

@inproceedings{acampora2025hybrid,
  author    = {Acampora, Giovanni and Schiattarella, Roberto and Vitiello, Autilia},
  title     = {Hybrid Quantum-Classical Interval Type-2 Mamdani Fuzzy Systems},
  booktitle = {2025 IEEE International Conference on Fuzzy Systems (FUZZ)},
  pages     = {1--6},
  year      = {2025},
  organization = {IEEE},
  doi       = {10.1109/FUZZ62266.2025.11152074}
}

@inproceedings{acampora2023distributing,
  author    = {Acampora, Giovanni and Massa, Alfredo and Schiattarella, Roberto and Vitiello, Autilia},
  title     = {Distributing Fuzzy Inference Engines on Quantum Computers},
  booktitle = {2023 IEEE International Conference on Fuzzy Systems (FUZZ)},
  pages     = {1--6},
  year      = {2023},
  organization = {IEEE},
  doi       = {10.1109/FUZZ52849.2023.10309786}
}

License

QFIE is distributed under the MIT License.

Metadata

Release files for QFIE 1.2.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for QFIE 1.2.2
File	Size	Uploaded
qfie-1.2.2.tar.gz	23.9 kB	Sep 8, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for QFIE 1.2.2
File	Interpreter	ABI	Platform	Reset
qfie-1.2.2-py3-none-any.whl 20.3 kB Sep 8, 2026	Python 3	none	any	Details

Total release size: 44.2 kB

Release files / qfie-1.2.2.tar.gz

Download URL	qfie-1.2.2.tar.gz
Size	23.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`12241a9734099aeb0a408fd2ae9e9284db1949c3ebef378c0feb684aff71b2f6`
BLAKE2b-256 checksum How to use checksums	`85348daeadcf426de17a051be47496265f32cc8cf0a6e87aba6cf6c5dff6655a`
Upload date	Sep 8, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.9`

Release files / qfie-1.2.2-py3-none-any.whl

Download URL	qfie-1.2.2-py3-none-any.whl
Size	20.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`5d590016c65f16eb03cd20905f51a02945887cf9c44a9fc927c53373f05bf65d`
BLAKE2b-256 checksum How to use checksums	`c942d86e0f1c842cb7cc812f7f8df2ec19299e5251af37041615b5d020f4ec49`
Upload date	Sep 8, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.13.9`