No project description provided
Project description
Qiskit Quantum kNN
 |
 |
|---|
Qiskit Quantum kNN is a pure quantum knn classifier for a gated quantum computer, which is build with Qiskit.
Qiskit Quantum kNN is made as a final project to fulfill a master's degree at the Radboud University Nijmegen, in collaboration with ING Quantum Technology. It is build by using Afham et al. (2020) as it's primary guide on how to construct the quantum circuit used for distance measurements.
Installation
The best way of installing qiskit-quantum-knn is by using pip:
$ pip install qiskit-quantum-knn
Since qiskit-quantum-knn runs mainly by using qiskit, it is advised to check
out their installation guide on how to install Qiskit.
License
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file qiskit_quantum_knn-1.0.0.tar.gz.
File metadata
- Download URL: qiskit_quantum_knn-1.0.0.tar.gz
- Upload date:
- Size: 12.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
49cc614afb6087341c304288f2b30403e0be330620d408f1427d2c9b159608e0
|
|
| MD5 |
b339c73ed4c4f703c0549b226789cd84
|
|
| BLAKE2b-256 |
2fab9e93180638b3c3c5d7fe060e496e91d922a64f26fc080f0a0793bd905116
|
File details
Details for the file qiskit_quantum_knn-1.0.0-py3-none-any.whl.
File metadata
- Download URL: qiskit_quantum_knn-1.0.0-py3-none-any.whl
- Upload date:
- Size: 17.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b3576212cfe2ab37a0effab16edbe663af07d868a257abbea66958a412453bc2
|
|
| MD5 |
309fd9b3b38093d38b51e0506f231ce7
|
|
| BLAKE2b-256 |
57c4ed846368056a0080b43394849ee3d1d4b22c49429d762ad0a3590f03da49
|
