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https://github.com/amacaluso/bari-master-qml

https://github.com/amacaluso/bari-master-qml

Science Score: 26.0%

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    CITATION.cff file
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    Scientific vocabulary similarity
    Low similarity (4.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: amacaluso
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 1.22 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme

README.md

Quantum Kernel with Qiskit

Notebook from the Bari Master QML course illustrating how to use quantum kernels for classification, clustering, and kernel PCA with qiskit-machine-learning.

Topics

  • Quantum feature maps
  • Support Vector Classification (QSVC)
  • Quantum kernel PCA & clustering

Install

```bash pip install qiskit qiskit-machine-learning scikit-learn matplotlib numpy

🚀 Getting Started

  1. Clone the repository:

bash git clone https://github.com/amacaluso/Bari-Master-QML.git

🛠️ Requirements

Install the core dependencies:

bash pip install -r requirements.txt

Owner

  • Name: Antonio Macaluso
  • Login: amacaluso
  • Kind: user
  • Location: Saarbrücken, Germany
  • Company: German Research Center for Artificial Intelligence

Senior Researcher in Quantum Artificial Intelligence | PhD in Computer Science and Engineering

GitHub Events

Total
  • Push event: 4
  • Create event: 2
Last Year
  • Push event: 4
  • Create event: 2

Dependencies

requirements.txt pypi
  • Jinja2 ==3.1.4
  • MarkupSafe ==3.0.2
  • PennyLane ==0.39.0
  • PennyLane_Lightning ==0.39.0
  • PyJWT ==2.9.0
  • PyYAML ==6.0.2
  • Pygments ==2.18.0
  • Send2Trash ==1.8.3
  • absl-py ==2.1.0
  • annotated-types ==0.7.0
  • anyio ==4.6.2.post1
  • appdirs ==1.4.4
  • appnope ==0.1.4
  • argon2-cffi ==23.1.0
  • argon2-cffi-bindings ==21.2.0
  • arrow ==1.3.0
  • asttokens ==2.4.1
  • async-lru ==2.0.4
  • attrs ==24.2.0
  • autograd ==1.7.0
  • autoray ==0.7.0
  • babel ==2.16.0
  • beautifulsoup4 ==4.12.3
  • bleach ==6.2.0
  • cachetools ==5.5.0
  • certifi ==2024.8.30
  • cffi ==1.17.1
  • charset-normalizer ==3.4.0
  • chex ==0.1.87
  • colorama ==0.4.6
  • comm ==0.2.2
  • contourpy ==1.3.0
  • cryptography ==43.0.3
  • cycler ==0.12.1
  • debugpy ==1.8.8
  • decorator ==5.1.1
  • defusedxml ==0.7.1
  • dill ==0.3.9
  • etils ==1.11.0
  • exceptiongroup ==1.2.2
  • executing ==2.1.0
  • fastjsonschema ==2.20.0
  • fonttools ==4.54.1
  • fqdn ==1.5.1
  • h11 ==0.14.0
  • httpcore ==1.0.6
  • httpx ==0.27.2
  • ibm-cloud-sdk-core ==3.22.0
  • ibm-platform-services ==0.59.0
  • idna ==3.10
  • ipykernel ==6.29.5
  • ipython ==8.29.0
  • ipython-genutils ==0.2.0
  • isoduration ==20.11.0
  • jax ==0.4.34
  • jaxlib ==0.4.34
  • jedi ==0.19.2
  • joblib ==1.4.2
  • json5 ==0.9.27
  • jsonpointer ==3.0.0
  • jsonschema ==4.23.0
  • jsonschema-specifications ==2024.10.1
  • jupyter-events ==0.10.0
  • jupyter-highlight-selected-word ==0.2.0
  • jupyter-lsp ==2.2.5
  • jupyter_client ==8.6.3
  • jupyter_contrib_core ==0.4.2
  • jupyter_contrib_nbextensions ==0.7.0
  • jupyter_core ==5.7.2
  • jupyter_nbextensions_configurator ==0.6.4
  • jupyter_server ==2.14.2
  • jupyter_server_terminals ==0.5.3
  • jupyterlab ==4.4.3
  • jupyterlab_pygments ==0.3.0
  • jupyterlab_rise ==0.42.0
  • jupyterlab_server ==2.27.3
  • kiwisolver ==1.4.7
  • lxml ==5.3.0
  • matplotlib ==3.9.2
  • matplotlib-inline ==0.1.7
  • mistune ==3.0.2
  • ml_dtypes ==0.5.0
  • mpmath ==1.3.0
  • nbclient ==0.10.0
  • nbconvert ==7.16.4
  • nbformat ==5.10.4
  • nest-asyncio ==1.6.0
  • networkx ==3.4.2
  • notebook ==7.4.3
  • notebook_shim ==0.2.4
  • numpy ==2.0.2
  • opt_einsum ==3.4.0
  • optax ==0.2.4
  • overrides ==7.7.0
  • packaging ==24.2
  • pandas ==2.2.3
  • pandocfilters ==1.5.1
  • parso ==0.8.4
  • pbr ==6.1.0
  • pexpect ==4.9.0
  • pillow ==11.0.0
  • platformdirs ==4.3.6
  • prometheus_client ==0.21.0
  • prompt_toolkit ==3.0.48
  • psutil ==6.1.0
  • ptyprocess ==0.7.0
  • pure_eval ==0.2.3
  • pycparser ==2.22
  • pydantic ==2.9.2
  • pydantic_core ==2.23.4
  • pydot ==3.0.2
  • pylatexenc ==2.10
  • pyparsing ==3.2.0
  • pyspnego ==0.11.1
  • python-dateutil ==2.9.0.post0
  • python-json-logger ==2.0.7
  • pytz ==2024.2
  • pyzmq ==26.2.0
  • qiskit ==1.2.4
  • qiskit-aer ==0.15.1
  • qiskit-ibm-runtime ==0.33.2
  • qiskit-machine-learning ==0.8.1
  • referencing ==0.35.1
  • requests ==2.32.3
  • requests_ntlm ==1.3.0
  • rfc3339-validator ==0.1.4
  • rfc3986-validator ==0.1.1
  • rise ==5.7.1
  • rpds-py ==0.21.0
  • rustworkx ==0.15.1
  • scikit-learn ==1.5.2
  • scipy ==1.14.1
  • seaborn ==0.13.2
  • setuptools ==75.5.0
  • six ==1.16.0
  • sniffio ==1.3.1
  • soupsieve ==2.6
  • sspilib ==0.2.0
  • stack-data ==0.6.3
  • stevedore ==5.3.0
  • symengine ==0.13.0
  • sympy ==1.13.3
  • terminado ==0.18.1
  • threadpoolctl ==3.5.0
  • tinycss2 ==1.4.0
  • toml ==0.10.2
  • tomli ==2.0.2
  • toolz ==1.0.0
  • tornado ==6.4.1
  • traitlets ==5.14.3
  • types-python-dateutil ==2.9.0.20241003
  • typing_extensions ==4.12.2
  • tzdata ==2024.2
  • uri-template ==1.3.0
  • urllib3 ==2.2.3
  • wcwidth ==0.2.13
  • webcolors ==24.11.1
  • webencodings ==0.5.1
  • websocket-client ==1.8.0