A fast library for analyzing with quantum stabilizer circuits.

Project description

Stim

Stim is a fast simulator for quantum stabilizer circuits.

API references are available on the stim github wiki: https://github.com/quantumlib/stim/wiki

Stim can be installed into a python 3 environment using pip:

pip install stim

Once stim is installed, you can import stim and use it. There are three supported use cases:

Interactive simulation with stim.TableauSimulator.
High speed sampling with samplers compiled from stim.Circuit.
Independent exploration using stim.Tableau and stim.PauliString.

Interactive Simulation

Use stim.TableauSimulator to simulate operations one by one while inspecting the results:

import stim

s = stim.TableauSimulator()

# Create a GHZ state.
s.h(0)
s.cnot(0, 1)
s.cnot(0, 2)

# Look at the simulator state re-inverted to be forwards:
t = s.current_inverse_tableau()
print(t**-1)
# prints:
# +-xz-xz-xz-
# | ++ ++ ++
# | ZX _Z _Z
# | _X XZ __
# | _X __ XZ

# Measure the GHZ state.
print(s.measure_many(0, 1, 2))
# prints one of:
# [True, True, True]
# or:
# [False, False, False]

High Speed Sampling

By creating a stim.Circuit and compiling it into a sampler, samples can be generated very quickly:

import stim

# Create a circuit that measures a large GHZ state.
c = stim.Circuit()
c.append("H", [0])
for k in range(1, 30):
    c.append("CNOT", [0, k])
c.append("M", range(30))

# Compile the circuit into a high performance sampler.
sampler = c.compile_sampler()

# Collect a batch of samples.
# Note: the ideal batch size, in terms of speed per sample, is roughly 1024.
# Smaller batches are slower because they are not sufficiently vectorized.
# Bigger batches are slower because they use more memory.
batch = sampler.sample(1024)
print(type(batch))  # numpy.ndarray
print(batch.dtype)  # numpy.uint8
print(batch.shape)  # (1024, 30)
print(batch)
# Prints something like:
# [[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]
#  [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
#  [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]
#  ...
#  [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]
#  [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]
#  [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
#  [1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]]

This also works on circuits that include noise:

import stim
import numpy as np

c = stim.Circuit("""
    X_ERROR(0.1) 0
    Y_ERROR(0.2) 1
    Z_ERROR(0.3) 2
    DEPOLARIZE1(0.4) 3
    DEPOLARIZE2(0.5) 4 5
    M 0 1 2 3 4 5
""")
batch = c.compile_sampler().sample(2**20)
print(np.mean(batch, axis=0).round(3))
# Prints something like:
# [0.1   0.2   0.    0.267 0.267 0.266]

You can also sample annotated detection events using stim.Circuit.compile_detector_sampler.

For a list of gates that can appear in a stim.Circuit, see the latest readme on github.

Independent Exploration

Stim provides data types stim.PauliString and stim.Tableau, which support a variety of fast operations.

import stim

xx = stim.PauliString("XX")
yy = stim.PauliString("YY")
assert xx * yy == -stim.PauliString("ZZ")

s = stim.Tableau.from_named_gate("S")
print(repr(s))
# prints:
# stim.Tableau.from_conjugated_generators(
#     xs=[
#         stim.PauliString("+Y"),
#     ],
#     zs=[
#         stim.PauliString("+Z"),
#     ],
# )

s_dag = stim.Tableau.from_named_gate("S_DAG")
assert s**-1 == s_dag
assert s**1000000003 == s_dag

cnot = stim.Tableau.from_named_gate("CNOT")
cz = stim.Tableau.from_named_gate("CZ")
h = stim.Tableau.from_named_gate("H")
t = stim.Tableau(5)
t.append(cnot, [1, 4])
t.append(h, [4])
t.append(cz, [1, 4])
t.prepend(h, [4])
assert t == stim.Tableau(5)

Project details

Release history Release notifications | RSS feed

1.15.dev1730523741 pre-release

Nov 2, 2024

1.15.dev1730500841 pre-release

Nov 1, 2024

1.15.dev1730154364 pre-release

Oct 28, 2024

This version

1.15.dev1728688449 pre-release

Oct 11, 2024

1.15.dev1727166840 pre-release

Sep 24, 2024

1.14.0

Sep 24, 2024

1.14.dev1727164676 pre-release

Sep 24, 2024

1.14.dev1727163064 pre-release

Sep 24, 2024

1.14.dev1727161109 pre-release

Sep 24, 2024

1.14.dev1726902167 pre-release

Sep 21, 2024

1.14.dev1726900525 pre-release

Sep 21, 2024

1.14.dev1726895845 pre-release

Sep 21, 2024

1.14.dev1726889409 pre-release

Sep 21, 2024

1.14.dev1726430915 pre-release

Sep 15, 2024

1.14.dev1726206696 pre-release

Sep 13, 2024

1.14.dev1726187406 pre-release

Sep 13, 2024

1.14.dev1726091180 pre-release

Sep 11, 2024

1.14.dev1725679825 pre-release

Sep 7, 2024

1.14.dev1724712001 pre-release

Aug 26, 2024

1.14.dev1723057703 pre-release

Aug 7, 2024

1.14.dev1722854600 pre-release

Aug 5, 2024

1.14.dev1722650154 pre-release

Aug 3, 2024

1.14.dev1722409480 pre-release

Jul 31, 2024

1.14.dev1722326436 pre-release

Jul 30, 2024

1.14.dev1722293989 pre-release

Jul 29, 2024

1.14.dev1722042181 pre-release

Jul 27, 2024

1.14.dev1721777478 pre-release

Jul 23, 2024

1.14.dev1720938100 pre-release

Jul 14, 2024

1.14.dev1720861949 pre-release

Jul 13, 2024

1.14.dev1719978558 pre-release

Jul 3, 2024

1.14.dev1719957432 pre-release

Jul 2, 2024

1.14.dev1719955661 pre-release

Jul 2, 2024

1.14.dev1719295897 pre-release

Jun 25, 2024

1.14.dev1718081493 pre-release

Jun 11, 2024

1.14.dev1718079560 pre-release

Jun 11, 2024

1.14.dev1717459827 pre-release

Jun 4, 2024

1.14.dev1716327428 pre-release

May 21, 2024

1.14.dev1714789520 pre-release

May 4, 2024

1.14.dev1714773685 pre-release

May 3, 2024

1.14.dev1714772198 pre-release

May 3, 2024

1.14.dev1712965049 pre-release

Apr 13, 2024

1.14.dev1712946644 pre-release

Apr 12, 2024

1.14.dev1712884560 pre-release

Apr 12, 2024

1.14.dev1712801263 pre-release

Apr 11, 2024

1.14.dev1712661380 pre-release

Apr 9, 2024

1.14.dev1712659430 pre-release

Apr 9, 2024

1.14.dev1711709508 pre-release

Mar 29, 2024

1.14.dev1711670133 pre-release

Mar 29, 2024

1.14.dev1711582216 pre-release

Mar 27, 2024

1.14.dev1711525906 pre-release

Mar 27, 2024

1.14.dev1711415157 pre-release

Mar 26, 2024

1.14.dev1711001478 pre-release

Mar 21, 2024

1.14.dev1710997887 pre-release

Mar 21, 2024

1.14.dev1710971876 pre-release

Mar 20, 2024

1.14.dev1710899196 pre-release

Mar 20, 2024

1.14.dev1710897753 pre-release

Mar 20, 2024

1.14.dev1710743364 pre-release

Mar 18, 2024

1.13.0

Mar 18, 2024

1.13.dev1710740471 pre-release

Mar 18, 2024

1.13.dev1710726537 pre-release

Mar 18, 2024

1.13.dev1710720884 pre-release

Mar 18, 2024

1.13.dev1710546840 pre-release

Mar 16, 2024

1.13.dev1710483042 pre-release

Mar 15, 2024

1.13.dev1710431323 pre-release

Mar 14, 2024

1.13.dev1710218260 pre-release

Mar 12, 2024

1.13.dev1710209153 pre-release

Mar 12, 2024

1.13.dev1710203367 pre-release

Mar 12, 2024

1.13.dev1709227811 pre-release

Feb 29, 2024

1.13.dev1709175168 pre-release

Feb 29, 2024

1.13.dev1708338768 pre-release

Feb 19, 2024

1.13.dev1708140965 pre-release

Feb 17, 2024

1.13.dev1708139192 pre-release

Feb 17, 2024

1.13.dev1707966721 pre-release

Feb 16, 2024

1.13.dev1707955768 pre-release

Feb 15, 2024

1.13.dev1706570159 pre-release

Jan 29, 2024

1.13.dev1706081724 pre-release

Jan 24, 2024

1.13.dev1702511128 pre-release

Dec 14, 2023

1.13.dev1702289706 pre-release

Dec 11, 2023

1.13.dev1701377008 pre-release

Nov 30, 2023

1.13.dev1701334149 pre-release

Nov 30, 2023

1.13.dev1701315447 pre-release

Nov 30, 2023

1.13.dev1701144542 pre-release

Nov 28, 2023

1.13.dev1701045685 pre-release

Nov 27, 2023

1.13.dev1700958181 pre-release

Nov 26, 2023

1.13.dev1700898803 pre-release

Nov 25, 2023

1.13.dev1700871912 pre-release

Nov 25, 2023

1.13.dev1700545551 pre-release

Nov 21, 2023

1.12.1

Dec 1, 2023

1.12.0

Aug 22, 2023

1.11.0

Feb 5, 2023

1.10.0

Oct 25, 2022

1.9.0

Jul 10, 2022

1.8.0

Jan 30, 2022

1.7.1

Dec 15, 2021

1.7.0

Dec 14, 2021

1.6.0

Oct 15, 2021

1.5.0

Jul 28, 2021

1.4.0

Jun 30, 2021

1.3.0

Apr 16, 2021

1.2.1

Mar 19, 2021

1.2

Mar 18, 2021

1.1.0

Mar 11, 2021

1.0

Mar 3, 2021

Download files

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

Source Distribution

stim-1.15.dev1728688449.tar.gz (814.4 kB view details)

Uploaded Oct 11, 2024 Source

Built Distributions

stim-1.15.dev1728688449-cp312-cp312-win_amd64.whl (2.5 MB view details)

Uploaded Oct 11, 2024 CPython 3.12 Windows x86-64

stim-1.15.dev1728688449-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7 MB view details)

Uploaded Oct 11, 2024 CPython 3.12 manylinux: glibc 2.17+ x86-64

stim-1.15.dev1728688449-cp312-cp312-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded Oct 11, 2024 CPython 3.12 macOS 11.0+ ARM64

stim-1.15.dev1728688449-cp312-cp312-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded Oct 11, 2024 CPython 3.12 macOS 10.9+ x86-64

stim-1.15.dev1728688449-cp311-cp311-win_amd64.whl (2.5 MB view details)

Uploaded Oct 11, 2024 CPython 3.11 Windows x86-64

stim-1.15.dev1728688449-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7 MB view details)

Uploaded Oct 11, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64

stim-1.15.dev1728688449-cp311-cp311-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded Oct 11, 2024 CPython 3.11 macOS 11.0+ ARM64

stim-1.15.dev1728688449-cp311-cp311-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded Oct 11, 2024 CPython 3.11 macOS 10.9+ x86-64

stim-1.15.dev1728688449-cp310-cp310-win_amd64.whl (2.5 MB view details)

Uploaded Oct 11, 2024 CPython 3.10 Windows x86-64

stim-1.15.dev1728688449-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7 MB view details)

Uploaded Oct 11, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64

stim-1.15.dev1728688449-cp310-cp310-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded Oct 11, 2024 CPython 3.10 macOS 11.0+ ARM64

stim-1.15.dev1728688449-cp310-cp310-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded Oct 11, 2024 CPython 3.10 macOS 10.9+ x86-64

stim-1.15.dev1728688449-cp39-cp39-win_amd64.whl (2.6 MB view details)

Uploaded Oct 11, 2024 CPython 3.9 Windows x86-64

stim-1.15.dev1728688449-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7 MB view details)

Uploaded Oct 11, 2024 CPython 3.9 manylinux: glibc 2.17+ x86-64

stim-1.15.dev1728688449-cp39-cp39-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded Oct 11, 2024 CPython 3.9 macOS 11.0+ ARM64

stim-1.15.dev1728688449-cp39-cp39-macosx_10_9_x86_64.whl (1.9 MB view details)

Uploaded Oct 11, 2024 CPython 3.9 macOS 10.9+ x86-64

stim-1.15.dev1728688449-cp38-cp38-win_amd64.whl (2.5 MB view details)

Uploaded Oct 11, 2024 CPython 3.8 Windows x86-64

stim-1.15.dev1728688449-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7 MB view details)

Uploaded Oct 11, 2024 CPython 3.8 manylinux: glibc 2.17+ x86-64

stim-1.15.dev1728688449-cp38-cp38-macosx_11_0_arm64.whl (3.3 MB view details)

Uploaded Oct 11, 2024 CPython 3.8 macOS 11.0+ ARM64

stim-1.15.dev1728688449-cp38-cp38-macosx_10_9_x86_64.whl (3.6 MB view details)

Uploaded Oct 11, 2024 CPython 3.8 macOS 10.9+ x86-64

stim-1.15.dev1728688449-cp37-cp37m-win_amd64.whl (2.5 MB view details)

Uploaded Oct 11, 2024 CPython 3.7m Windows x86-64

stim-1.15.dev1728688449-cp37-cp37m-win32.whl (2.2 MB view details)

Uploaded Oct 11, 2024 CPython 3.7m Windows x86

stim-1.15.dev1728688449-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7 MB view details)

Uploaded Oct 11, 2024 CPython 3.7m manylinux: glibc 2.17+ x86-64

stim-1.15.dev1728688449-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (5.0 MB view details)

Uploaded Oct 11, 2024 CPython 3.7m manylinux: glibc 2.17+ i686

stim-1.15.dev1728688449-cp37-cp37m-macosx_10_9_x86_64.whl (3.6 MB view details)

Uploaded Oct 11, 2024 CPython 3.7m macOS 10.9+ x86-64

stim-1.15.dev1728688449-cp36-cp36m-win_amd64.whl (2.5 MB view details)

Uploaded Oct 11, 2024 CPython 3.6m Windows x86-64

stim-1.15.dev1728688449-cp36-cp36m-win32.whl (2.2 MB view details)

Uploaded Oct 11, 2024 CPython 3.6m Windows x86

stim-1.15.dev1728688449-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7 MB view details)

Uploaded Oct 11, 2024 CPython 3.6m manylinux: glibc 2.17+ x86-64

stim-1.15.dev1728688449-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (5.0 MB view details)

Uploaded Oct 11, 2024 CPython 3.6m manylinux: glibc 2.17+ i686

stim-1.15.dev1728688449-cp36-cp36m-macosx_10_9_x86_64.whl (3.6 MB view details)

Uploaded Oct 11, 2024 CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file stim-1.15.dev1728688449.tar.gz.

File metadata

Download URL: stim-1.15.dev1728688449.tar.gz
Upload date: Oct 11, 2024
Size: 814.4 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449.tar.gz
Algorithm	Hash digest
SHA256	`7cf6fc148b342eb0077e136c0eb200eee2e8b5bfd9a781f074123f4b29022444`
MD5	`3741692350f491abf061773b6a5def56`
BLAKE2b-256	`a45145e0cc08d03ead7ccf56853f8724b5249baf9e91b75ac272049e50ca6d32`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp312-cp312-win_amd64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp312-cp312-win_amd64.whl
Upload date: Oct 11, 2024
Size: 2.5 MB
Tags: CPython 3.12, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp312-cp312-win_amd64.whl
Algorithm	Hash digest
SHA256	`cb94789b0ba2eb77aa3c3974beb92201566d4c0bbea64bcbcba940e9dc43b097`
MD5	`c5f3ba4f606ff7cf96de6aebdefef3a5`
BLAKE2b-256	`a94eb4f21f7286e6a25e95fa7b00bab411c26e9584af611e227b1e06a2041aa2`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Oct 11, 2024
Size: 4.7 MB
Tags: CPython 3.12, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`8bf5d5c0a68e2f4558d8cfb13a8efb457a46f5e6c1105ef9ad63d511f09fd393`
MD5	`ec96883c691e2af93a8a3c47286838de`
BLAKE2b-256	`c09a95f1fd840a782c35ff6ac88082adc22657be9e988ba3a4059fd8eaa58244`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp312-cp312-macosx_11_0_arm64.whl
Upload date: Oct 11, 2024
Size: 1.8 MB
Tags: CPython 3.12, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp312-cp312-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`3b9028e1c51f0f32983a0c1dd458ad0bc5c54a56ac735f3d506cd25030f6768a`
MD5	`5b0b1f91aa48f5652098edde7027e28e`
BLAKE2b-256	`b574f9f828c163ad9924ccb696ba558d9ce751663559da02785c427a1205e7e7`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp312-cp312-macosx_10_9_x86_64.whl
Upload date: Oct 11, 2024
Size: 1.9 MB
Tags: CPython 3.12, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`04f8a5911c89ce846d3e4cf4626de8e1c2b20cfd750236fa3a6e1afe46133ddf`
MD5	`95b45e905e39a07dcd1bce167317913a`
BLAKE2b-256	`5573996b59cf34962b4cccfa029be6cbbd4fe5906c1d000f7c6fd4905bb5f1cb`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp311-cp311-win_amd64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp311-cp311-win_amd64.whl
Upload date: Oct 11, 2024
Size: 2.5 MB
Tags: CPython 3.11, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`6830661b65659326e69253ed1f0b3b6707eed2b9420bd07098ffab7a178218c8`
MD5	`bb05dc12dae9e0b4031a4742f49acf82`
BLAKE2b-256	`0e5007912f71c1521cde9167f8eea3127d31c5f477d851cbdbafdae345b82ad6`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Oct 11, 2024
Size: 4.7 MB
Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`116f0583414afddf217cb85d3c14a916f9f69f08727c531580de4a5fd12e4fe1`
MD5	`77cd8114085c5559bf81dc7e7b57ca04`
BLAKE2b-256	`6530142e41baaeddc4388166603856fb6a4aa7cad66875af0e1cd9dd158119c2`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp311-cp311-macosx_11_0_arm64.whl
Upload date: Oct 11, 2024
Size: 1.7 MB
Tags: CPython 3.11, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp311-cp311-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`41438947ad74797cf14293ce3e851d7a2fb6a0ec26a51fde3e04defe7991f6dd`
MD5	`85825fc83c15d346ea4fd70a2af3eea4`
BLAKE2b-256	`947e5801dfef7d917cab354a07014b7065b2941eddde03359d270c4428b33205`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp311-cp311-macosx_10_9_x86_64.whl
Upload date: Oct 11, 2024
Size: 1.9 MB
Tags: CPython 3.11, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`0e02d75f13233fdc7ef462ec0833983bde36f6b6908562e21f10a1f088edf939`
MD5	`e2a509210f730975ddb33f8a39e54c2e`
BLAKE2b-256	`2b5386f5c42368882f72c6ba01596343fd7b1330bb34a5a7a36e8e99fb0c0320`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp310-cp310-win_amd64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp310-cp310-win_amd64.whl
Upload date: Oct 11, 2024
Size: 2.5 MB
Tags: CPython 3.10, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`d52eb0995f2ab6fe5398f2d25483ab4dffdb14504300af656fd6b91ff37d3102`
MD5	`e3837f9993b6083143ec4e078447be95`
BLAKE2b-256	`3da9b1f64909ab07639cf12d5d4c81efe365b69a8f72ef8c28c79d7e594be15a`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Oct 11, 2024
Size: 4.7 MB
Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`04080fea5817efdcd010006dcebf10ac8151ed6d051538a55f2e700d11936a51`
MD5	`8af43538b2672addc155a620b3f9fd86`
BLAKE2b-256	`6a8cb597441d165f345972f2266257461ac734d041dadbd050e00a6474ea2785`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp310-cp310-macosx_11_0_arm64.whl
Upload date: Oct 11, 2024
Size: 1.7 MB
Tags: CPython 3.10, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp310-cp310-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`9e6760d9c0640c2fe00ee8b44e6f740a57c7a7bd4113bec99600edae313b1225`
MD5	`4a2883184d323c019024fdac868f99d2`
BLAKE2b-256	`ae6f6fe5ac00a701711953bf372417d8865b45442034f9ab042fe8740e568431`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp310-cp310-macosx_10_9_x86_64.whl
Upload date: Oct 11, 2024
Size: 1.9 MB
Tags: CPython 3.10, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`54aca4ce8c98effccf0dcbddd650acd89fad90c15475a106e2f857809f6de90c`
MD5	`15aa93e35bfdd4fd565ea0ee41805c6e`
BLAKE2b-256	`e5e9c94761faa18d49434d78166137990572c987fd942a16358e3e0c896ae509`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp39-cp39-win_amd64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp39-cp39-win_amd64.whl
Upload date: Oct 11, 2024
Size: 2.6 MB
Tags: CPython 3.9, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`f2b573fbf7815c5e3ae6950fce734ae4104a71c34cd3624d9ae8a5c5e101e6cc`
MD5	`e3280234041b1cbf3105839dbfb32aaa`
BLAKE2b-256	`c18d10871b5f1511aacc1af9ad71ac20fa92467bc253886b646d7b419fc21aef`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Oct 11, 2024
Size: 4.7 MB
Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`adba6ced483d7a79a7bf0f8e19c92868b814bbee606570e48df4e5c6b08f52d4`
MD5	`236526bb2c89f610d77884903c9872d3`
BLAKE2b-256	`f4748c8825e0ade969abb629757797917452d1e97824456de9378c26b135c427`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp39-cp39-macosx_11_0_arm64.whl
Upload date: Oct 11, 2024
Size: 1.7 MB
Tags: CPython 3.9, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp39-cp39-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`0c7e79520c2c141b5207b3bb71f517657d71ba88f327bcb4c01399d8b4d3a057`
MD5	`bf8e6ea997791d9fe0fcca7e49098b36`
BLAKE2b-256	`693b861f459d0621ddc14d48bbad8a839baff4adb32e20f9b5fee6ca156b6909`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp39-cp39-macosx_10_9_x86_64.whl
Upload date: Oct 11, 2024
Size: 1.9 MB
Tags: CPython 3.9, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`718445c595fee0d626cf38f576a0cf517485b02796bd54c6eaa44cc5bd2dfd57`
MD5	`1fee27094d7173c1567a3a531869d918`
BLAKE2b-256	`5e1335721d512b528308eaae5952ab30ab175ecca97a71d700af35b4125078ca`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp38-cp38-win_amd64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp38-cp38-win_amd64.whl
Upload date: Oct 11, 2024
Size: 2.5 MB
Tags: CPython 3.8, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`a5759a01ceb74a5a03d249bba420b52134318eed4a10db4a38c0cb8d13a84904`
MD5	`b5e002176a25b8dca898526ec8ac6aae`
BLAKE2b-256	`c1d85e973104568769793f53b2fc3e278f7287b35641370aaa4927ac2b91463c`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Oct 11, 2024
Size: 4.7 MB
Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`3cc033670dc3a5c53dc0ca82e18921182388f4d88655144f2248b1049cd2b2f3`
MD5	`288eaa9fa7a8b34871f633fa9be05fb5`
BLAKE2b-256	`d17e1362fffc9ab375c5ac1569caf99c112c4174bccf7a1cc73d15b2c4f151b0`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp38-cp38-macosx_11_0_arm64.whl
Upload date: Oct 11, 2024
Size: 3.3 MB
Tags: CPython 3.8, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp38-cp38-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`d6cbfe1c852b59ca05f6d685232be418ad7ef593d24bd5f3b7416bd084288f3f`
MD5	`61532c77ffc9758666c69efd6698f3e4`
BLAKE2b-256	`4aefb57540bdb5606fcc98e08c60f86fbac0df08797b24791ca5919222d18118`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp38-cp38-macosx_10_9_x86_64.whl
Upload date: Oct 11, 2024
Size: 3.6 MB
Tags: CPython 3.8, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`9b9380010cfa0fe7aa390882821ff3775db52cd55790e73712d99fbae933df50`
MD5	`882cd8f2111f06f492b00d02143f0756`
BLAKE2b-256	`04709f8b771910d37946d57ca2fdabcd1519931065c7b4da2a0432161494feaf`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp37-cp37m-win_amd64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp37-cp37m-win_amd64.whl
Upload date: Oct 11, 2024
Size: 2.5 MB
Tags: CPython 3.7m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`c0ad9742c14888dcd08478495077b35b918a8be2951af43d9e9d8f6492e691e7`
MD5	`fffee33f799871032eaed62a8341a2c4`
BLAKE2b-256	`8113490ab8f2820d4d2fe6f2899caf0b98d308916e271c87075a843d88982d47`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp37-cp37m-win32.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp37-cp37m-win32.whl
Upload date: Oct 11, 2024
Size: 2.2 MB
Tags: CPython 3.7m, Windows x86
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp37-cp37m-win32.whl
Algorithm	Hash digest
SHA256	`d9abee9f1f744bac04cc9cc2850782f8d002c9c69e0a0fcbed8300335b31835d`
MD5	`4bed03f325cc1bfe475121961e08033a`
BLAKE2b-256	`1bed2c9b1ac01464696612d2ffc9855459c0361e3f69139d3038fcf78e27e777`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Oct 11, 2024
Size: 4.7 MB
Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`1e69665b2723d9d37d012ee7ed4984ca37a4b60816592dd378a46f43a1cfa03e`
MD5	`29f95f7878d9ef3f9cd677370e53d438`
BLAKE2b-256	`e31a1f6600b5ccb06a40e881f9a5c7b912f9c588003bc53240878da1498378ac`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Upload date: Oct 11, 2024
Size: 5.0 MB
Tags: CPython 3.7m, manylinux: glibc 2.17+ i686
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`7cea8a76874802603961bcd5c472940792ade6d55eba7789d626e5d21e57045c`
MD5	`42b61b26d2a8d63aa67cd355b73a61c1`
BLAKE2b-256	`09595ed6687edeed6bcfb9e8e34d35ccf4cc8033019b0cad84dfac3028b0cb5a`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp37-cp37m-macosx_10_9_x86_64.whl
Upload date: Oct 11, 2024
Size: 3.6 MB
Tags: CPython 3.7m, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`fc89f7772e53dd673311b792eaeb4855865dced8c3a33e6e75e253c4870a051b`
MD5	`213207284e7215b9993000edf135bce2`
BLAKE2b-256	`eba3424c92a3c3813dd01a950b58525c3dd67ee6c10779869709b224690cf4c2`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp36-cp36m-win_amd64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp36-cp36m-win_amd64.whl
Upload date: Oct 11, 2024
Size: 2.5 MB
Tags: CPython 3.6m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`ecccec85301bac37abf524739e9c7ab68815e9efd36e37902a808631543e38cc`
MD5	`227e1f206a4b5b8dbd1a61ce721517ea`
BLAKE2b-256	`073371576f7837d22b7d189938d820d5dc0f58685fa8ed64772742a4fe5c623b`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp36-cp36m-win32.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp36-cp36m-win32.whl
Upload date: Oct 11, 2024
Size: 2.2 MB
Tags: CPython 3.6m, Windows x86
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`f4e9171070f1d7e59dfee7e889c190ddcd2dac6f401135036e6ba9b57356dabb`
MD5	`117edea4d14bef2b1c20a1262b7793b3`
BLAKE2b-256	`4dd92c4dc26d3552b8d674ecd108ec03281138459042ff1b56cc6e9cfd40cf31`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Oct 11, 2024
Size: 4.7 MB
Tags: CPython 3.6m, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`fc4c7fd80f5ffea4d3dedf8fca5ab7aa1790931264f858d8eaa61a42cfcb809a`
MD5	`dff7388a3cbce51bf04e76adbc977d41`
BLAKE2b-256	`159dd283a5c9ea80c4dff540f73d855f717b77af98676cc516189fe2e3c0f103`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Upload date: Oct 11, 2024
Size: 5.0 MB
Tags: CPython 3.6m, manylinux: glibc 2.17+ i686
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm	Hash digest
SHA256	`6fced173b40e48ad1a8773054d8d7bd396460f2ca1503d882962d166c371447e`
MD5	`7486a6d024197085b65fcd39f9572557`
BLAKE2b-256	`125289defc02592596f87e146a3cfb6edd1ed46897f31d210d2548f287db9071`

See more details on using hashes here.

Provenance

File details

Details for the file stim-1.15.dev1728688449-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

Download URL: stim-1.15.dev1728688449-cp36-cp36m-macosx_10_9_x86_64.whl
Upload date: Oct 11, 2024
Size: 3.6 MB
Tags: CPython 3.6m, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for stim-1.15.dev1728688449-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`d8eb6b0f89c1b8fc6e5854617c026e4f0f66a0c600387907a59a1ced74656092`
MD5	`ba77424cf2d9f25e81b027e1f8cd1cbe`
BLAKE2b-256	`638f775f2ce633b42645d6e6692e47babb5a41eea2806885f41b036538113ad1`

See more details on using hashes here.

stim 1.15.dev1728688449

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Project description

Stim

Interactive Simulation

High Speed Sampling

Independent Exploration

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata