Skip to main content

Package for transport calculations in quantum dots using approximate quantum master equations

Project description

QmeQ is an open-source Python package for calculations of transport through quantum dot devices. The so-called Anderson-type models are used to describe the quantum dot device, where quantum dots are coupled to the leads by tunneling. QmeQ can calculate the stationary state particle and energy currents using various approximate density matrix approaches. As for now we have implemented the following first-order methods

  • Pauli (classical) master equation

  • Lindblad approach

  • Redfield approach

  • First order von Neumann (1vN) approach

which can describe the effect of Coulomb blockade. QmeQ also has two second-order methods

  • Second order von Neumann (2vN) approach

  • Real Time Diagrammatic approach

which can additionally address cotunneling, pair tunneling, and broadening effects.

Project details


Download files

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

Source Distribution

qmeq-1.1.tar.gz (2.2 MB view details)

Uploaded Source

Built Distributions

qmeq-1.1-cp39-cp39-win_amd64.whl (3.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

qmeq-1.1-cp39-cp39-manylinux2010_x86_64.whl (9.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

qmeq-1.1-cp39-cp39-macosx_10_9_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

qmeq-1.1-cp38-cp38-win_amd64.whl (3.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

qmeq-1.1-cp38-cp38-manylinux2010_x86_64.whl (9.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

qmeq-1.1-cp38-cp38-macosx_10_9_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

qmeq-1.1-cp37-cp37m-win_amd64.whl (3.6 MB view details)

Uploaded CPython 3.7m Windows x86-64

qmeq-1.1-cp37-cp37m-manylinux2010_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

qmeq-1.1-cp37-cp37m-macosx_10_9_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

qmeq-1.1-cp36-cp36m-win_amd64.whl (3.6 MB view details)

Uploaded CPython 3.6m Windows x86-64

qmeq-1.1-cp36-cp36m-manylinux2010_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

qmeq-1.1-cp36-cp36m-macosx_10_9_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file qmeq-1.1.tar.gz.

File metadata

  • Download URL: qmeq-1.1.tar.gz
  • Upload date:
  • Size: 2.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1.tar.gz
Algorithm Hash digest
SHA256 c51f5d2810f1102d0900a223235d1d0ce5ec27e112fbdb2442f29b9a39b8ee6f
MD5 cc46174a2e7d22f835e5fbcdbc1375a5
BLAKE2b-256 c9827f3c743add1cfeba95593c63a68794a46034416f70ec74d0fbdadd6cd55b

See more details on using hashes here.

File details

Details for the file qmeq-1.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: qmeq-1.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 3.6 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 bd9f6bd8d9c7ad00ecd4ad23bf9a621a114a7fdbd3507190464616740c72c601
MD5 39fe82aa124518923aeb60ecd3701650
BLAKE2b-256 7353cbf8b3d0c32879d2cb0305d92fee89e02b35f94a933129d667c45ec670f8

See more details on using hashes here.

File details

Details for the file qmeq-1.1-cp39-cp39-manylinux2010_x86_64.whl.

File metadata

  • Download URL: qmeq-1.1-cp39-cp39-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 9.3 MB
  • Tags: CPython 3.9, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1-cp39-cp39-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d9059a7860cd376261bbe8825171a03f1bad1192f9b09d05eb6f391f341a99a7
MD5 5fb781b82161ca0ddbedcc92247bf2a8
BLAKE2b-256 5d42281fd63608768821417243865e35f39b798e84aaf1a58a0d48f388b9e5db

See more details on using hashes here.

File details

Details for the file qmeq-1.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: qmeq-1.1-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 4.1 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f06c0421a5be3230bb2a1236506556e297f9500c7f3035c57063f78026d9df48
MD5 0d1d70494b50c084af54f93dd4b0680f
BLAKE2b-256 6db1a5621f5f29e20c5a590f5fc83f1863fdb0e7d6d6ffbfe8d797a7c45bca89

See more details on using hashes here.

File details

Details for the file qmeq-1.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: qmeq-1.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 3.6 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 adf8e0913dc62349f63469c6d0bbd6098ba6f8fdc3fa33b0099b3efc36f65c82
MD5 fbb18de7ed6fc6cc2cad06315b2a4595
BLAKE2b-256 d0ace6678fbdeffece7f37cdc73c2a15f7d36454296e1a380ceb4b4305d2ab6f

See more details on using hashes here.

File details

Details for the file qmeq-1.1-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

  • Download URL: qmeq-1.1-cp38-cp38-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 9.5 MB
  • Tags: CPython 3.8, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c11b21fafc694c31d5bc915d5ab8fbdb45db692e5e96918e80108ba7b92b658b
MD5 ac6ee9dd7a92a43621afc90e19f83aeb
BLAKE2b-256 0721625d014d2abd9ef36a6b7225227b9f70939c9abb3c232185759c5a2ce19c

See more details on using hashes here.

File details

Details for the file qmeq-1.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: qmeq-1.1-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 4.1 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8daaa6dec12fe58a0943f08495c5a043ae593126239a103322311d7b9290b9e1
MD5 3e2799fb688c4a03ba076a1260a915fa
BLAKE2b-256 bf4e5efd1837ea30b2f3329dacfc82d4bd02d6106ad291f4e1f4beb27fdbff55

See more details on using hashes here.

File details

Details for the file qmeq-1.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: qmeq-1.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 3.6 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 963ca0ef24e41bf371958532e191a4ea24f909889ffb2b430d1373d26fe48446
MD5 05631ff4d9228be76b7c4904c95a56e4
BLAKE2b-256 ac18b370139d9bb3c299ecba331a4a99170f1cb862cd524c10f138133ef56312

See more details on using hashes here.

File details

Details for the file qmeq-1.1-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: qmeq-1.1-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 8.7 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 7d712db00125d957f04147f349cb7ecbecd79b6041aab38f6ab9c366da01629b
MD5 3644c5b003152998fa9ebc1fe5b8bc59
BLAKE2b-256 121bd47aabb4b2bcbbaa72482499cea3df93eaec65da8a9751121fa1d430fd6a

See more details on using hashes here.

File details

Details for the file qmeq-1.1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: qmeq-1.1-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 344e0f7d94d13ca1a97c8ba8551964716ac435c9caa3aaae64e0b9e31957c3e5
MD5 7b46378dd25d4e9b86c583b9dc77a05b
BLAKE2b-256 bbef488e7666f44f749a1e4335509faa52e8662264bcf0851f7851ca6fe0596d

See more details on using hashes here.

File details

Details for the file qmeq-1.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: qmeq-1.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 3.6 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 f17f9f6d5438368bc1b7e395e1583423f79981e9d0c7a57b22b73aacfe15b21b
MD5 7b1262703ba2664b5eceb2529f86d931
BLAKE2b-256 4b76fdbfdb2082d7f840fb96ef3188d88ae773f396aa87f75820f711af3d70af

See more details on using hashes here.

File details

Details for the file qmeq-1.1-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: qmeq-1.1-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 8.7 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f60d8fe86c28d0bc14b86c2974c9696d7ca3301c26ed3662138e54fea1b620a4
MD5 d759059990f02ce57702a6fe4059c743
BLAKE2b-256 2bfdd254ee10d48a758d4d28ea617a5ae9e3fa0500f730cd6deb4359f844e5c0

See more details on using hashes here.

File details

Details for the file qmeq-1.1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: qmeq-1.1-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.8.7

File hashes

Hashes for qmeq-1.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 03c2e9ff9426a9907c8d512e91b10d103eb365b14b14a9fb4abebf3c84e81c12
MD5 b1cf8bb4ec94b811471fe70fe4f1e961
BLAKE2b-256 05cca511447b6dcab93afeee174169abd0e2189b923a3f3348ebe76916c6fc74

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