Skip to main content

A quantum machine learning framework designed for unified development of both classical and quantum machine learning tasks.

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pyvqnet-2.17.2-cp312-none-manylinux1_x86_64.whl (134.6 MB view details)

Uploaded CPython 3.12

pyvqnet-2.17.2-cp312-cp312-win_amd64.whl (111.0 MB view details)

Uploaded CPython 3.12Windows x86-64

pyvqnet-2.17.2-cp312-cp312-macosx_14_0_arm64.whl (21.0 MB view details)

Uploaded CPython 3.12macOS 14.0+ ARM64

pyvqnet-2.17.2-cp311-none-manylinux1_x86_64.whl (135.8 MB view details)

Uploaded CPython 3.11

pyvqnet-2.17.2-cp311-cp311-win_amd64.whl (111.8 MB view details)

Uploaded CPython 3.11Windows x86-64

pyvqnet-2.17.2-cp311-cp311-macosx_14_0_arm64.whl (19.7 MB view details)

Uploaded CPython 3.11macOS 14.0+ ARM64

pyvqnet-2.17.2-cp310-none-manylinux1_x86_64.whl (135.7 MB view details)

Uploaded CPython 3.10

pyvqnet-2.17.2-cp310-cp310-win_amd64.whl (111.8 MB view details)

Uploaded CPython 3.10Windows x86-64

pyvqnet-2.17.2-cp310-cp310-macosx_14_0_arm64.whl (22.2 MB view details)

Uploaded CPython 3.10macOS 14.0+ ARM64

File details

Details for the file pyvqnet-2.17.2-cp312-none-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyvqnet-2.17.2-cp312-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 817a1ad6c23fbeaafdc88c2b51a7465c73400990f7c2ab6b7be46c7c3b669dcf
MD5 3202d77809a4fbd39f3262128f4aa04f
BLAKE2b-256 eedb5b2f5332a3c8d137e74d3ff4bf8ec87fa73b53e7bd8443cb1f5349405e58

See more details on using hashes here.

File details

Details for the file pyvqnet-2.17.2-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pyvqnet-2.17.2-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 111.0 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for pyvqnet-2.17.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 a92077542720182bb2648269e3ca2a1462204bc13ce47a7db8da6a9de0887345
MD5 f067bd02c83d216ccd09e472db2d1159
BLAKE2b-256 696eefa6b3139b567c25b3edfa22d14903be30292afb3916c61ecaa20e8d7c82

See more details on using hashes here.

File details

Details for the file pyvqnet-2.17.2-cp312-cp312-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for pyvqnet-2.17.2-cp312-cp312-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 8394a71e069eaba34ee2cbbbea8bbde8737629013ebdf32f4f541eb858863408
MD5 9b059e81514c16f1a34e9bc2b116036d
BLAKE2b-256 b5d09d93705142c740965a03ff2ac6ddac8752f1b21c465dcb31bbb256ebd02d

See more details on using hashes here.

File details

Details for the file pyvqnet-2.17.2-cp311-none-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyvqnet-2.17.2-cp311-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2645af71f95106f33127c3137f35e38bcdeb92e25f8a2f7292c69ea98081bb5f
MD5 6c469fc669748150a670df55c431a888
BLAKE2b-256 75ebf35fbf35388fa68c198fef52b44f39af160123eba419e8d1f38e4d3eb89e

See more details on using hashes here.

File details

Details for the file pyvqnet-2.17.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pyvqnet-2.17.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 111.8 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for pyvqnet-2.17.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 b0526269241e102c2e1807d8b9579261e0d61538e6b92c128417eea0eb7a9c85
MD5 692613eeb64e65b113945452d6e33c0e
BLAKE2b-256 de176ebab82cfd48a3dd6654d7850dd829d7327c995c9f45eaa93de33275fad1

See more details on using hashes here.

File details

Details for the file pyvqnet-2.17.2-cp311-cp311-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for pyvqnet-2.17.2-cp311-cp311-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 54d78929b9c7c5aa1bd7a9334a08955f593829ca12ef4c09524b32a89ce6b16d
MD5 6a39305b232296202fb74f2278f5860e
BLAKE2b-256 33a1bedf20c6b61630c2dc3a6b05d52f8da7ba2d8543c9c8cc9e4976ff8efcc0

See more details on using hashes here.

File details

Details for the file pyvqnet-2.17.2-cp310-none-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyvqnet-2.17.2-cp310-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 1414e33b2f1deef52e622855b916b0d1cd6ef1fcac89bf45ae43d23b1a5bccf5
MD5 188600cdefa8625eda037e863fa71736
BLAKE2b-256 79f6da490bb05b15c4a5109c1968e388a52ce2167c1cf0b84453fca2af25e2ab

See more details on using hashes here.

File details

Details for the file pyvqnet-2.17.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pyvqnet-2.17.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 111.8 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for pyvqnet-2.17.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 577d96ee784e14a9cb90cf2b3fa48bfbbdcf79ffa24f04646d36870c00215e31
MD5 feb2187179f26121bab44cd9acd84a0d
BLAKE2b-256 703c90582d369c5b9ffc6be974f2ea3ad53d4c529ae5917ab880a8dc6213b4d3

See more details on using hashes here.

File details

Details for the file pyvqnet-2.17.2-cp310-cp310-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for pyvqnet-2.17.2-cp310-cp310-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 4df18b15526e06b36c37fa7cd0df428f7891a981648c5688432c7e4a52b2d2bc
MD5 ab93f18c8e2da993f2b341121a2339cc
BLAKE2b-256 814ff0492325bb4da7051f96c4f2cf4aaec997d9f13f42d1ab5fc31b3a6eb5bb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page