Qiskit transpiler passes for the TOQM algorithm

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ctrpeach from gravatar.com ctrpeach

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache 2.0)
  • Author: Qiskit Development Team
  • Tags qiskit, sdk, quantum
  • Requires: Python >=3.7
Classifiers

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ctrpeach from gravatar.com ctrpeach

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache 2.0)
  • Author: Qiskit Development Team
  • Tags qiskit, sdk, quantum
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.1.0

This version

0.0.4

0.0.3

0.0.2

0.0.1

Download files

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

Source Distribution

qiskit-toqm-0.0.4.tar.gz (3.4 MB view details)

Uploaded Source

Built Distributions

qiskit_toqm-0.0.4-cp310-cp310-win_amd64.whl (152.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

qiskit_toqm-0.0.4-cp310-cp310-win32.whl (130.5 kB view details)

Uploaded CPython 3.10 Windows x86

qiskit_toqm-0.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (199.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

qiskit_toqm-0.0.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (212.0 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

qiskit_toqm-0.0.4-cp310-cp310-macosx_11_0_arm64.whl (145.9 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

qiskit_toqm-0.0.4-cp310-cp310-macosx_10_9_x86_64.whl (157.4 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

qiskit_toqm-0.0.4-cp39-cp39-win_amd64.whl (149.9 kB view details)

Uploaded CPython 3.9 Windows x86-64

qiskit_toqm-0.0.4-cp39-cp39-win32.whl (130.7 kB view details)

Uploaded CPython 3.9 Windows x86

qiskit_toqm-0.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (199.6 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

qiskit_toqm-0.0.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (212.4 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

qiskit_toqm-0.0.4-cp39-cp39-macosx_11_0_arm64.whl (146.0 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

qiskit_toqm-0.0.4-cp39-cp39-macosx_10_9_x86_64.whl (157.5 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

qiskit_toqm-0.0.4-cp38-cp38-win_amd64.whl (152.1 kB view details)

Uploaded CPython 3.8 Windows x86-64

qiskit_toqm-0.0.4-cp38-cp38-win32.whl (130.5 kB view details)

Uploaded CPython 3.8 Windows x86

qiskit_toqm-0.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (199.1 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

qiskit_toqm-0.0.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (211.7 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

qiskit_toqm-0.0.4-cp38-cp38-macosx_11_0_arm64.whl (146.0 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

qiskit_toqm-0.0.4-cp38-cp38-macosx_10_9_x86_64.whl (157.5 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

qiskit_toqm-0.0.4-cp37-cp37m-win_amd64.whl (151.9 kB view details)

Uploaded CPython 3.7m Windows x86-64

qiskit_toqm-0.0.4-cp37-cp37m-win32.whl (131.7 kB view details)

Uploaded CPython 3.7m Windows x86

qiskit_toqm-0.0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (203.6 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

qiskit_toqm-0.0.4-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (217.2 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

qiskit_toqm-0.0.4-cp37-cp37m-macosx_10_9_x86_64.whl (156.0 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file qiskit-toqm-0.0.4.tar.gz.

File metadata

  • Download URL: qiskit-toqm-0.0.4.tar.gz
  • Upload date:
  • Size: 3.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for qiskit-toqm-0.0.4.tar.gz
Algorithm Hash digest
SHA256 09c64219409fab65e599493bbb7c234e072067f6e03baac5ad6f189999059890
MD5 bf438eadb6d07d0f011cc8d535c69aee
BLAKE2b-256 8b34cdb6bd16bcd8563e5e5d1138d767102e439b0a52531cfbf3c0b9446a3ec3

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 9d3e3d05e0c75aada16c7514292eb483e06fcc6801b2c745a320a82ca0a9cc1e
MD5 82611a84ce8e49b347fa44b2d1d0fdc0
BLAKE2b-256 fc604eed63edc9acfd2f4c68fa177a14bfa8c28fb99267fd28ab92f8680a7036

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp310-cp310-win32.whl.

File metadata

  • Download URL: qiskit_toqm-0.0.4-cp310-cp310-win32.whl
  • Upload date:
  • Size: 130.5 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for qiskit_toqm-0.0.4-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 6658e084a0321cc86c1f50a77cab5443cc2a8542dbeda5c339df1f5e8cafb203
MD5 f0640f01eb192a6a37ebd3e34a52702c
BLAKE2b-256 483bcec778615af9e173e36cd90ea1b59de2294a602396e81bac31b17e6cd24a

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e63d79012c28a5c5fb5b52467cb1a72874ddd9c031016f3498187ac6958f5edf
MD5 41334150043bc41672221e90c1f34b40
BLAKE2b-256 4c0b2c58bab8a04517c910ee3ab0215dffc9eae2ca3bb961e2b421f7a7d23b6c

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8c00159e19609769713f87f7aaf86a9f9689705b3c20139771a0100a3c89a5fe
MD5 11a59e6d63e4e8106876366bfecd7455
BLAKE2b-256 2773e389a860dc83dd9d2b28667ce3c85ba9ca22c354e279bd6b1a08bcd30398

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 13da80484df28fffe9315db37ea7b32a6d7685985bffc27f047aae3a18dcdb56
MD5 4dff27defe553cae7f8314942fd93550
BLAKE2b-256 b0abca1ec3ffab4ca19917fcf75a68b4aadc5140c37fd392e2b258d8f10d50e4

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d6fcc348086940ba9c690f7a9d8a303d16eaa5f794be6e7acbfcecdc5cd42232
MD5 6fa8fb7f1b61f44ecf512c4b03bce893
BLAKE2b-256 36f9a1fcab41625f3148081139670465ca51a73e3728bed958f7d77bdea68548

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 200cabe397c35fb6958eb9e25a62b9d29c9c8a8d37277349260ecd5d9d9e0d12
MD5 c3c0d5d6595422a5872a32a9554198b2
BLAKE2b-256 1a90002bfc30714a4e2a883fe7fb9e20410980533e5252e2ebed9b2c0b31aea7

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp39-cp39-win32.whl.

File metadata

  • Download URL: qiskit_toqm-0.0.4-cp39-cp39-win32.whl
  • Upload date:
  • Size: 130.7 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for qiskit_toqm-0.0.4-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 ed701a975dd7fe58ceac9b1fca88f7c8fe166646e9af12676341ec44a8389e5b
MD5 d5cc94bb5d1493e9f31dede55bc23228
BLAKE2b-256 8a72b8847526c7fb90fbd467c9e6f0f99c5e0c67bd1ab6b31c4cadaff6206517

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1d733168d0236f71a1f004b620282a6d43534e3ac7011e0af97538dd2cd742e7
MD5 3743ba97ab8f55c74acd98fa6b017d3e
BLAKE2b-256 5d7cf2d34d16ecbb100eef727cc1c495ce52e371eb162d6c1918862ef74ee06d

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b7285cab4aa52c420bf6bce47956cbb060cf0cd7d5fe6c7f9ebd498f23f40db5
MD5 c706971a24a6684a95d258948ed8bb12
BLAKE2b-256 c74308fcc7b364e9edd67e14eb981410ba6c649c8075130d4efc754811207731

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4c74f7821e47d5da0a11ed57da4fea97c76b3c1e6282b6b7fff0219029bd6e35
MD5 f192572cf0823f43c5b99ed9c19f3345
BLAKE2b-256 ed15d4aac3350db9713375022e5870f66622ef56cdb69a1375bede51b90388a3

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 75a32b87704f1e74a73fd08e7425d0577c7adea5da7c267776503b4ba596f07c
MD5 31e41fa8809a4f4fed29a490671e6a81
BLAKE2b-256 01b659f8121a5061c8b608caace3895e89a1205163485bc2345d4b6664e364a0

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 d99eb76fab0cab1017981e2b1dfd28ef8b87c640121307322c3e0a799f851dbf
MD5 aae2860e80f8fd5aafe28151d4615ec7
BLAKE2b-256 959f789b48cd6c3a7edad55489d1471b9fb968e48f856e605b79278700bc7aab

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp38-cp38-win32.whl.

File metadata

  • Download URL: qiskit_toqm-0.0.4-cp38-cp38-win32.whl
  • Upload date:
  • Size: 130.5 kB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for qiskit_toqm-0.0.4-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 99dcf2baa9b7f55f388cf5723e2b883031adb978a7690e1b064035289e4b7872
MD5 7b7a5b6aa5bb3dd88ae9fad041740237
BLAKE2b-256 5cb71d4bfa23e216aea4261c997499834712185db7d610a87c034e3a01c79919

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 56c4bebf623c0091ae0384d51420cac8720d2af842561f2989b516145f658342
MD5 a1d123b421c483f4728e191fcb139ed5
BLAKE2b-256 b6c6f9cb3d8d8d29f81689d3ed83a80cbd91a6c4c7b341acb01cce3c6dda9542

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b9f31fb17d44d9d941f22e4b1eecfb4d952ff3b411e397770b6a18874a7797cc
MD5 6e19393fc3a8235b17bda1ce1517029a
BLAKE2b-256 404da412b5cd19f41786160ac40a02a80aebeaf36c140cba8dcd2d6e409b24ca

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fb372aa1f72bd353174d800f01c09d1a903aab6e0c322c16cb8e98d284777ecf
MD5 58e539335f071dc3e4a3d9c3b3c9d520
BLAKE2b-256 c6980eb8709595f8a91000dddf0043498ff1bf1958bf48512614defab31fea58

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e0833f476f9aa904207377997accc8c2819100fa98714a8247c9a24d9e01e004
MD5 908999ac6b0eeda4d2fdf21325902da0
BLAKE2b-256 98791570b3d8fff2bbebfdfa73541f0fa5e6e1231a9c4aec3977fe8750e963d2

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 d9f75172103359b24d5806e129e6e4c5ccc9a8de990a05ac16f08884874f3000
MD5 ca0a7ca82d513016ffad2028b01bb26c
BLAKE2b-256 5b5d1b1360153c052d50c6ae98aab1b86c1f8365d9d3ca3b44f07baabc1cf91f

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp37-cp37m-win32.whl.

File metadata

  • Download URL: qiskit_toqm-0.0.4-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 131.7 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for qiskit_toqm-0.0.4-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 f5eef66381f8fd13383eb35ef836dadec7bbca093cfadcab6087644ad09c3c2a
MD5 10dfd1f56073814d434043650ef5d9fc
BLAKE2b-256 849c9220394ffad11f2d41fbf37ba4f2a34de38b5315b7cabdd997195e61a14c

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8b8171231d9fb723cd8e2cd04a510a301dc7b488ee45d22cd2cf64d6370398f1
MD5 62adf78a9e7f8d156dfce7b2d262f608
BLAKE2b-256 65c1a2307b6431ca4090ad23429522def649d863585693e0b16e0fe63e172c1e

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e312dcadd769a5e128f27575e0b4a7d095129009c3f79ea5af180835c082b9a6
MD5 d151eb8713ad6f29e90c54fcf03c4604
BLAKE2b-256 429053bcf00c56dcd32f56ce9b04a2e822c9486d877ab9ad6ba088a057691584

See more details on using hashes here.

File details

Details for the file qiskit_toqm-0.0.4-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for qiskit_toqm-0.0.4-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fe50510ae59b83231edc4e2fa2a09c55316dead3247f525817352f9a3e6c85e0
MD5 0c132e74afe24e8fef01ff1b07a2aba0
BLAKE2b-256 5dc28e57581d5a6005cfc5b55df648de3921a22c096ca8f084f1426da34df62f

See more details on using hashes here.

Supported by

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