Fast MAXCUT, TSP, and sampling heuristics from near-ideal transverse field Ising model (TFIM)

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

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 WrathfulSpatula from gravatar.com WrathfulSpatula

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

This version

9.16.1

9.16.0

9.15.5

9.15.4 yanked

Reason this release was yanked:

Vibe junk

9.15.3 yanked

Reason this release was yanked:

Vibe junk

9.15.2

9.15.1

9.15.0

9.14.0

9.13.0

9.12.3

9.12.2

9.12.1

9.12.0

9.11.4

9.11.3

9.11.2

9.11.1

9.11.0

9.10.1

9.10.0

9.9.0

9.8.1

9.8.0

9.7.8

9.7.7

9.7.6

9.7.5

9.7.4

9.7.3

9.7.1

9.7.0

9.6.0

9.5.13

9.5.12

9.5.11

9.5.10

9.5.9

9.5.8

9.5.7

9.5.6

9.5.5

9.5.4

9.5.3

9.5.2

9.5.1

9.5.0

9.4.0

9.3.11

9.3.10

9.3.9

9.3.8

9.3.7

9.3.6

9.3.5

9.3.4

9.3.3

9.3.2

9.3.1

9.3.0

9.2.5

9.2.4

9.2.3

9.2.2

9.2.1

9.2.0

9.1.1

9.1.0

9.0.1

9.0.0

8.15.1

8.15.0

8.14.9

8.14.8

8.14.7

8.14.6

8.14.5

8.14.4

8.14.3

8.14.2

8.14.1

8.14.0

8.13.1

8.13.0

8.12.0

8.11.0

8.10.4

8.10.3

8.10.2

8.10.1

8.10.0

8.9.4

8.9.3

8.9.2

8.9.1

8.9.0

8.8.0

8.7.2

8.7.1

8.7.0

8.6.0

8.5.0

8.4.0

8.3.1

8.3.0

8.2.4

8.2.3

8.2.2

8.2.1

8.2.0

8.1.0

8.0.2

8.0.1

8.0.0

7.5.3

7.5.2

7.5.1

7.5.0

7.4.10

7.4.9

7.4.8

7.4.7

7.4.6

7.4.5

7.4.4

7.4.3

7.4.2

7.4.1

7.4.0

7.3.0

7.2.0

7.1.0

7.0.2

7.0.1

7.0.0

6.3.1

6.3.0

6.2.4

6.2.3

6.2.2

6.2.1

6.2.0

6.1.3

6.1.2

6.1.1

6.1.0

6.0.0

5.7.4

5.7.3

5.7.2

5.7.1

5.7.0

5.6.0

5.5.3

5.5.2

5.5.1

5.5.0

5.4.6

5.4.5

5.4.4

5.4.3

5.4.2

5.4.1

5.4.0

5.3.3

5.3.2

5.3.1

5.3.0

5.2.1

5.2.0

5.1.6

5.1.5

5.1.4

5.1.3

5.1.2

5.1.1

5.1.0

5.0.2

5.0.1

5.0.0

4.3.0

4.2.2

4.2.1

4.2.0

4.1.1

4.1.0

4.0.1

4.0.0

3.5.5

3.5.4

3.5.3

3.5.2

3.5.1

3.5.0

3.4.5

3.4.4

3.4.3

3.4.2

3.4.1

3.4.0

3.3.0

3.2.0

3.1.0

3.0.3

3.0.2

3.0.1

3.0.0

2.0.3

2.0.2

2.0.1

2.0.0

1.29.0

1.28.1

1.28.0

1.27.1

1.27.0

1.26.3

1.26.2

1.26.1

1.26.0

1.25.0

1.24.2

1.24.1

1.24.0

1.23.1

1.23.0

1.22.0

1.21.1

1.21.0

1.20.0

1.19.1

1.19.0

1.18.5

1.18.4

1.18.3

1.18.2

1.18.1

1.17.1

1.17.0

1.16.0

1.15.0

1.14.13

1.14.12

1.14.11

1.14.10

1.14.9

1.14.8

1.14.7

1.14.6

1.14.5

1.14.3

1.14.2

1.14.1

1.14.0

1.13.1

1.13.0

1.12.0

1.11.0

1.10.7

1.10.6

1.10.5

1.10.4

1.10.3

1.10.2

1.10.1

1.10.0

1.9.0

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.0

1.6.2

1.6.0

1.5.3

1.5.2

1.5.1

1.5.0

1.4.1

1.4.0

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.0

1.1.0

1.0.1

1.0.0

Download files

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

Source Distribution

pyqrackising-9.16.1.tar.gz (54.3 kB view details)

Uploaded Source

Built Distributions

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

pyqrackising-9.16.1-py3-none-win_amd64.whl (74.5 kB view details)

Uploaded Python 3Windows x86-64

pyqrackising-9.16.1-py3-none-manylinux_2_39_x86_64.whl (73.8 kB view details)

Uploaded Python 3manylinux: glibc 2.39+ x86-64

pyqrackising-9.16.1-py3-none-manylinux_2_35_x86_64.whl (76.8 kB view details)

Uploaded Python 3manylinux: glibc 2.35+ x86-64

pyqrackising-9.16.1-py3-none-macosx_15_0_arm64.whl (73.8 kB view details)

Uploaded Python 3macOS 15.0+ ARM64

pyqrackising-9.16.1-py3-none-macosx_14_0_arm64.whl (73.8 kB view details)

Uploaded Python 3macOS 14.0+ ARM64

File details

Details for the file pyqrackising-9.16.1.tar.gz.

File metadata

  • Download URL: pyqrackising-9.16.1.tar.gz
  • Upload date:
  • Size: 54.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for pyqrackising-9.16.1.tar.gz
Algorithm Hash digest
SHA256 a9744524714c1fdc416a3d4bdd8e9cff7598b32d9dd407fece89283d8b7137e6
MD5 d986b8ea28d43556440c7db30890a5fe
BLAKE2b-256 0bc68b4c67b89835951547f384239cb4713cc140cfbbfd2040f21601b924a872

See more details on using hashes here.

File details

Details for the file pyqrackising-9.16.1-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for pyqrackising-9.16.1-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 6f34a7038c809cebacde83b7cf326f95f53ba96f615ebd30101b26ec0315f75e
MD5 b0f3ce8e7bb908ac8a89f0d6ef1780e7
BLAKE2b-256 5334b0b9e7b76b0e9cc40de23085781be1083f2b92b675a81341cea1dba1217e

See more details on using hashes here.

File details

Details for the file pyqrackising-9.16.1-py3-none-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for pyqrackising-9.16.1-py3-none-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 281516ccf218a521f79c7582299637630e972ffcf9d99f874700539e4fde642a
MD5 d7e649669377df062b4d7116f0b2b9af
BLAKE2b-256 6858646a6208e19655aa37008e3f5f957abf81fc26f6268f68d97ef376167eb8

See more details on using hashes here.

File details

Details for the file pyqrackising-9.16.1-py3-none-manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pyqrackising-9.16.1-py3-none-manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 5b1c673f4d901c2ed143feef5e37f0ef07e642b3a479bbaec7b81575827ec357
MD5 e8840928bcdd4b47a50c96c4e9b1bbc1
BLAKE2b-256 595b18c2811b33aac724754a9cfe2147fc45edc0e33c353d8416849e0dc7ac5d

See more details on using hashes here.

File details

Details for the file pyqrackising-9.16.1-py3-none-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for pyqrackising-9.16.1-py3-none-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 8754a6c9ec5a0ea5641c389ec47685c1731eb97649c79009ec06c3a5550db253
MD5 6a580eec7ea8c234b8649a9305058032
BLAKE2b-256 c6583d097e6c04929dd025d5302b67be5e1c3d50365a397a5abbe3decaa4df79

See more details on using hashes here.

File details

Details for the file pyqrackising-9.16.1-py3-none-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for pyqrackising-9.16.1-py3-none-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 8a923cab208903c1187c4634fbf16fbc45deea18f08749cfa49be1efed5e99b6
MD5 9597a7b9f7d5a59503a6758d41d81c5d
BLAKE2b-256 d28bb3b8f0cdf179844dc6343448b7e09286a6bfdf35bef3e6a8107c34f1d350

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