Skip to main content

Module myqlm-clinalg [8a492f6] - Compiled by Eviden

Project description

C++ Linalg

This package contains a linear algebra based simulator for quantum circuits, CLinalg, which backend is written in C++.

Installation

You can use pip to install this package:

pip install myqlm-clinalg

Documentation

Check out the online documentation.

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.

myqlm_clinalg-0.1.3-cp311-cp311-win_amd64.whl (12.1 MB view details)

Uploaded CPython 3.11Windows x86-64

myqlm_clinalg-0.1.3-cp311-cp311-manylinux1_x86_64.whl (570.7 kB view details)

Uploaded CPython 3.11

myqlm_clinalg-0.1.3-cp311-cp311-macosx_11_0_arm64.whl (546.9 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

myqlm_clinalg-0.1.3-cp311-cp311-macosx_10_9_intel.whl (521.8 kB view details)

Uploaded CPython 3.11macOS 10.9+ Intel (x86-64, i386)

myqlm_clinalg-0.1.3-cp310-cp310-win_amd64.whl (12.1 MB view details)

Uploaded CPython 3.10Windows x86-64

myqlm_clinalg-0.1.3-cp310-cp310-manylinux1_x86_64.whl (578.3 kB view details)

Uploaded CPython 3.10

myqlm_clinalg-0.1.3-cp310-cp310-macosx_11_0_arm64.whl (548.8 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

myqlm_clinalg-0.1.3-cp310-cp310-macosx_10_9_intel.whl (530.1 kB view details)

Uploaded CPython 3.10macOS 10.9+ Intel (x86-64, i386)

myqlm_clinalg-0.1.3-cp39-cp39-win_amd64.whl (12.1 MB view details)

Uploaded CPython 3.9Windows x86-64

myqlm_clinalg-0.1.3-cp39-cp39-manylinux1_x86_64.whl (592.5 kB view details)

Uploaded CPython 3.9

myqlm_clinalg-0.1.3-cp39-cp39-macosx_11_0_arm64.whl (558.3 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

myqlm_clinalg-0.1.3-cp39-cp39-macosx_10_9_intel.whl (540.9 kB view details)

Uploaded CPython 3.9macOS 10.9+ Intel (x86-64, i386)

myqlm_clinalg-0.1.3-cp38-cp38-win_amd64.whl (12.1 MB view details)

Uploaded CPython 3.8Windows x86-64

myqlm_clinalg-0.1.3-cp38-cp38-manylinux1_x86_64.whl (595.4 kB view details)

Uploaded CPython 3.8

myqlm_clinalg-0.1.3-cp38-cp38-macosx_11_0_arm64.whl (566.6 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

myqlm_clinalg-0.1.3-cp38-cp38-macosx_10_9_intel.whl (541.8 kB view details)

Uploaded CPython 3.8macOS 10.9+ Intel (x86-64, i386)

File details

Details for the file myqlm_clinalg-0.1.3-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a1dc0aff4d36c9040960b89a5a4b02150dd531462cd003bdc1a620f0955b81db
MD5 9c76c73434553f0a08793409124bf3f5
BLAKE2b-256 0fd27179fb800724c64b90491626b28e58afe307b291dfec319c2b5b632684ae

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp311-cp311-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp311-cp311-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5ba2d0f5cbb05ee48e8dab832010b62de4bb6302f85f0c0b3af275baa7277e58
MD5 ef439e19a3ce01878d616ac82f5142a3
BLAKE2b-256 cff15498aa29c6af28a735c79e66af48195da19d15678ca1ec8bb42d33abbb01

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 90c84fe56e09547ebed5b8b5a5e6dd869517f0a87e90208b3b016325ae8e204f
MD5 7f4b5109ab6db05376767cea3465c79f
BLAKE2b-256 e7483fa5ae8e25387641dcd24a76f05d13498459ae5f4bdd4eac5c6f0d771c97

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp311-cp311-macosx_10_9_intel.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp311-cp311-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 10db60fefd20df46078cb34a7954b4e12f15e40fab22193af734a84e14a8e5cf
MD5 a2c290e0dd09a34add54a4d63b1c5fce
BLAKE2b-256 685779e37d78e1f1fa30283467e60a7b2bc46ee5e191c03a5d357215831f9d12

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 7e8444373f8e0026ed8dd0a27aecbb474ec1a59e2e63897a1f207e400fb00337
MD5 0dc8aef466855393d5a673933eb5bb23
BLAKE2b-256 e0fa661fc6aa41151838e94e43758291f9391557bf09355a294d771161aeda29

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp310-cp310-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3b7bca40fe687044a30d33b2b446ffbba05188d75787262e1cba9af046102a1e
MD5 aafd31e534702d7ca5c030a87113614d
BLAKE2b-256 c20b113dcb537e7147347a73e5094554fe95ee84586a91e8fefb38119bbfbdf7

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e5dde78cf3cdaebc7f313d2e0e66b7585fd615cc0d1876528da2c1860468e78f
MD5 cf1ef42dc236359ec8df404d3237d9bf
BLAKE2b-256 f91b3918a84d7dfb4163af8fa88447ffc8759edc9e5bfe5607f575ea1de35856

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp310-cp310-macosx_10_9_intel.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp310-cp310-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 56fe58553f329eef76c61307f3791d17704b230bd3a5d8bf7e838bf6cdcbfc44
MD5 9cb9baa5f9f5fe2ee9fd30d76062f3df
BLAKE2b-256 a548f13729f71ba89d7621d11585868ce6757d0c3f5b0e1f1f8ee05c74e27ed6

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 607853834eac5bc8b7f5630053c2aeb97007914a34cfef22c1ffe14e88da47fe
MD5 102a2b909319321d22fddd2d4bdd5149
BLAKE2b-256 fbc7ffb898075bdcc7a3f2bfd29c00ffaf15ef23efb447d155dff11117960be8

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 060508ab9da13e3a402babd120a2d10c1f4bbfd9e74fdb5fed6a4adc501e155d
MD5 a301d471e44486e30361b768eff96156
BLAKE2b-256 c0c5a1de139d5ab4763110bfab575f0d4183298927e9d8686f71bdd0772b5a38

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a6ad5b0bdeb7cdaca6ca4b44d2fa43158841527e9f8ccf01bb792fc4f8dd35e3
MD5 6790fd660f8bf4bcbf67d53ddc27d653
BLAKE2b-256 cc6221fc583e2f559e1ed7c74824c8fc497e0d10ea329beba251b6090fc6d311

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp39-cp39-macosx_10_9_intel.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp39-cp39-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 039eab078df5f9edbc78b404049c3ae1d45aeabd4e44087ded7aa7039e2ce9b3
MD5 4dc483cbe38a129463b7fb635cff01ab
BLAKE2b-256 6463e6a586f489aec5382dcfbd241f6eb5609f86ae4ac432577a12a6dee1cbaa

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 f21b99c4f4b602c5ad2cbd7990b201261691c61ae0d404a72ca98c2e11a39568
MD5 e0330d9fea8a2c75efeecbae12919186
BLAKE2b-256 6f5871ffff016ab8e48e82d601aa5c31a3f26c3df879e10f597101554094db6b

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9943450436d81e2e044df930d015dab8877cf6eb537ff82ec104a35a77725f4b
MD5 c1dd5cf414a5c66929a0cbccf8aa1a95
BLAKE2b-256 206983327b475ffc96e374733c14553f24c8895c71ca2b012118c2ec2364e12a

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 db9dd2bd510756d2020c98371859c2d0b763b279754226d2f3de168cf8d60308
MD5 4ac22764d870ef7bde88a29226f293c2
BLAKE2b-256 3ebdf96193c1f0036d00c37e4de1c0a884f75926b6a0140342f5ff2c487d4599

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.1.3-cp38-cp38-macosx_10_9_intel.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.1.3-cp38-cp38-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 f9c4b79fa68d5dcff866696d6b6000fdeb8dc842f112af2dd19fbb9b5b710912
MD5 d63a4f400ccfd9f5f407d14ea8d89083
BLAKE2b-256 0fe49b74571ff69a48acaa130e10babd74131e7ff903353baeedd4a1f749c389

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