Skip to main content

Module myqlm-clinalg [df3f481] - Compiled by Atos

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-0.0.4-cp310-cp310-win_amd64.whl (8.6 MB view details)

Uploaded CPython 3.10Windows x86-64

myqlm_clinalg-0.0.4-cp310-cp310-manylinux1_x86_64.whl (476.5 kB view details)

Uploaded CPython 3.10

myqlm_clinalg-0.0.4-cp310-cp310-macosx_11_0_arm64.whl (420.0 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

myqlm_clinalg-0.0.4-cp310-cp310-macosx_10_9_intel.whl (437.8 kB view details)

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

myqlm_clinalg-0.0.4-cp39-cp39-win_amd64.whl (8.6 MB view details)

Uploaded CPython 3.9Windows x86-64

myqlm_clinalg-0.0.4-cp39-cp39-manylinux1_x86_64.whl (495.5 kB view details)

Uploaded CPython 3.9

myqlm_clinalg-0.0.4-cp39-cp39-macosx_11_0_arm64.whl (426.3 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

myqlm_clinalg-0.0.4-cp39-cp39-macosx_10_9_intel.whl (445.8 kB view details)

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

myqlm_clinalg-0.0.4-cp38-cp38-win_amd64.whl (8.6 MB view details)

Uploaded CPython 3.8Windows x86-64

myqlm_clinalg-0.0.4-cp38-cp38-manylinux1_x86_64.whl (498.3 kB view details)

Uploaded CPython 3.8

myqlm_clinalg-0.0.4-cp38-cp38-macosx_11_0_arm64.whl (432.8 kB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

myqlm_clinalg-0.0.4-cp38-cp38-macosx_10_9_intel.whl (445.6 kB view details)

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

myqlm_clinalg-0.0.4-cp37-cp37m-win_amd64.whl (8.6 MB view details)

Uploaded CPython 3.7mWindows x86-64

myqlm_clinalg-0.0.4-cp37-cp37m-macosx_10_9_intel.whl (438.9 kB view details)

Uploaded CPython 3.7mmacOS 10.9+ Intel (x86-64, i386)

myqlm_clinalg-0.0.4-cp36-cp36m-win_amd64.whl (8.6 MB view details)

Uploaded CPython 3.6mWindows x86-64

myqlm_clinalg-0.0.4-cp36-cp36m-manylinux1_x86_64.whl (472.0 kB view details)

Uploaded CPython 3.6m

myqlm_clinalg-0.0.4-cp36-cp36m-macosx_10_9_intel.whl (432.9 kB view details)

Uploaded CPython 3.6mmacOS 10.9+ Intel (x86-64, i386)

File details

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

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 03717b04875c64515a114a4ca304a99535932ed69a5b0efd1e2d712b6b9abb08
MD5 22f9570a2117988c489aebb50eb33dba
BLAKE2b-256 663420527f77d1e9c6ecc151539d5b863c23e28b24d3e74ecf4bc11666fa43d2

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.0.4-cp310-cp310-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp310-cp310-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e17776e0f5a032d52c47b1ff381afe32228608af210d408c7d71aeb22dbe96a3
MD5 1dee03b663ef8c62b9f3e2ea13c694e5
BLAKE2b-256 4376c6c99149f39f7e80f1d65dbfcae3f1cb49ee4afd8b6638f02fa15752f0b5

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e9f9bcf0b31e5821164e9380013420f5399d1ac78cfedde6f725821fd1c5dafd
MD5 9754322f44da62137d58695fe0695861
BLAKE2b-256 ef086b9f5c3b85658e5df664e37c90c9cf852dbce225ead878df45ff36318368

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.0.4-cp310-cp310-macosx_10_9_intel.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp310-cp310-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 180b2093810afd43ec4b2dc2f56842d3bb445acb042cc48149a5bf74c6f126ee
MD5 2c8e7b677ee9b1aa1cb6deddd37e2dff
BLAKE2b-256 504232b363d09bc2b6629c85eabc862a677f618c2897377ddfcf8a5829476135

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 38b1b425309861a0449eee75a03f40a6623c39c92a8c53fe26568c69789e432f
MD5 c845ddd4f4175d6829908cad23d26a40
BLAKE2b-256 f12968c3e7f0e99793a5c440b7938dc3911786bf9d9ae9825759d071303df1f5

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.0.4-cp39-cp39-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a2862161db093a6427db39bc8b0d3ecc0889384143f386f0e1b1bc2b1ebc6e29
MD5 3133079a9c336d87f417cb753efa8489
BLAKE2b-256 455247bec2a92a9848fa6a61fbb9fc687139d2d5641a4d8f11dec7d91d551dcc

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 dbef7c01beb673067e95d9fba72fcfa206643557dca16a65cb3059848c074e55
MD5 af61e0352ee3f3969569eace33160deb
BLAKE2b-256 05021446944a877d8d5c57673668ce6bf4b9f7843d5cad887a070984ac7ecc70

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.0.4-cp39-cp39-macosx_10_9_intel.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp39-cp39-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 7847f4a87104774703dc66d0b67d490dd3ec9ab15916fd09d8e66322cc6f9ae8
MD5 d33cf643f0b109ae60de6015431c1d71
BLAKE2b-256 1cc62416965cf6f8657282d1371c4026aa6244e69eba99d325bac7130faa85a6

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 5874e6a608ae10086b9d393cad60bcedf7f387ce1d3163560652b02d4cff03e2
MD5 28064a111b8f85c24f106383a9d9c435
BLAKE2b-256 b7b1d0b4248b66fedac3c74ed5b7bcd3f77469bef5ad9e1c70639f6dc1dbee88

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.0.4-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 4747f96aae38fbb3289cc12ef6d8348430d8c36d1960c927d60bf05a2b474f17
MD5 35e0af3f2b87d89d3acada124f07109b
BLAKE2b-256 f1cab92ced5486822ec1b0e835ab9471a99e629a13abf7cfb5031b7fa73b43f4

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3f9ee3578fdc2978c073fa5c5975298d1f49c300cde6ba2bd39599b3932c271c
MD5 99e5ec43cc4b2be417a44db4cefedb46
BLAKE2b-256 82c1c11ee2831af7944dc613670937620f2d691058b585bd8468827407feebcf

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.0.4-cp38-cp38-macosx_10_9_intel.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp38-cp38-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 235ecec6569cf90c715c3bc51d907e121a419d726adf30c66172932e5020fffa
MD5 acc741654ace7232f97bdebf9a131d8a
BLAKE2b-256 4201beb4398edb220c76f9f867a69e213423a1b4b1114f54b7ef7f2c05a2cbc0

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 cda1d5cdf19244bff5297c5642619cfe9edd196e6549aeb8474b58f4c7c28a4d
MD5 3e805dfb00298927a41251d92f644a9f
BLAKE2b-256 b5b2ef0b3e2311eac82339ed1ecaf8b4920aa29f5f7fe9bb79e1fe1c2169c63c

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.0.4-cp37-cp37m-macosx_10_9_intel.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp37-cp37m-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 c871da89bdcdb1b326847515a4baaa8d8f8ce99960957be6430d9b670cdb0faf
MD5 50a1d39b51312f1582afde3ef2a3c098
BLAKE2b-256 6553e5cab5bd572bd2d6a83d00a3b0fbd9c856cc86f2b743a812ba430ae59ff6

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.0.4-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 808feb4b2da4ef447d1832e7d2d280a7def0a6178804dd8ebd7d060716e11e0d
MD5 641a4ecb656b950525d6581635adc49d
BLAKE2b-256 66137a052cecbc6c256ac28c89bb4af7e7930114e2c3f86fb8558cd9ec2f6303

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.0.4-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6c0a0c82e9d20c380fa633ac19a8f1cffd181390571473e3a238b2c236a8b082
MD5 1cf808b9f594ec5e8a722e188702d132
BLAKE2b-256 656d1f9ecf72def182b31706e55fe1d401576acd5ea84e642872047c9c4cdbc8

See more details on using hashes here.

File details

Details for the file myqlm_clinalg-0.0.4-cp36-cp36m-macosx_10_9_intel.whl.

File metadata

File hashes

Hashes for myqlm_clinalg-0.0.4-cp36-cp36m-macosx_10_9_intel.whl
Algorithm Hash digest
SHA256 b2796858ad6ded0af55779a9bcc88896b97fbb26b8ca2af375c332c6da689fc9
MD5 7a2b7cd453caa29773a419bdd95a2482
BLAKE2b-256 54565f7e35d5d17e43c4db97758555e35728e6377e0c0ec9a3fe4df463be2f28

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