A package for efficient simulation and differentiation of parametrized quantum circuits.

frederikwilde, updated 🕥 2023-02-11 01:01:10

qradient [kɹeɪdi.ənt]

This package provides a platform for fast simulation of parametrized quantum circuits. Also, fast optimization is facilitated by efficient gradient calculations, something that cannot be done on a physical quantum device.

status of development

This package is currently not being developed any further. To work with a stable version, check out one of the tags.

installing the package (recommendation)

1) Clone this repository. 2) Create a virtual environment in the repository you want to work in and activate it. E.g. with 'venv': python3 -m venv my-env source ./my-env/bin/activate 3) Install the package into your environment pip install -e /path/to/qradient where -e installs it in 'editible' mode, i.e. you can make changes to the package without having to reinstall it afterwards.

contributing

If you want to contribute, please create a new branch and make a pull request.

runtimes

There are certainly quantum-circuit simulators out there that are much faster than this one. However, when your circuit is parametrized by many parameters, this package might provide the fastest way to access the gradient. To show this consider the McClean (inspired by a recent paper by McClean et al.) circuit sketched below, where each R is an arbitrary Pauli rotation, each parametrized by one individual parameter. Finally a Pauli ZZ measurement is performed on the first and second qubit (the choice of the observable only marginally affects the runtime). The circuit can be built by the following piece of code: python import numpy as np from qradient.circuit_logic import McClean qubit_num, layer_num = 3, 3 interactions = np.full((qubit_num, qubit_num), None) interactions[0, 1] = 1. # only measure ZZ on first and second qubit circuit = McClean(qubit_num, {'zz': interactions}, layer_num) The method whose runtimes are shown below is circuit.grad_run(), which returns the expectation value and the full gradient of the circuit with respect to all qubit_num * layer_num parameters.

| circuit | runtimes | | ------- | -------- | | McClean circuit | runtime diagram |

These numbers were obtained on a 2,3 GHz Quad-Core Intel Core i5 processor

a note on jupyter notebooks

The workflow of jupyter notebooks is somewhat unfitting for working with a VCS. The major problem is, that large outputs, like images, are effectively binary and therefore make merging difficult. However, notebooks are nice to use for tutorials.

The policy concerning notebooks for this repository is that ALL CELL OUTPUTS SHOULD BE CLEARED before committing. This can be done manually or with a simple filter for git, which you can find the instructions for here.

This also implies that notebooks should not contain code that runs longer than a few seconds. If you want to put results of expensive computations into a notebook, save it to a file using a file export package (e.g. h5py for HDF5 import/export) and then import it in the notebook.

contact

If you have questions or comments, feel free to open a GitHub issue or send me a mail at: wilde.physics[ät]gmail.com

acknowledgements and citing

I, Frederik Wilde, acknowledge funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – MATH+ : The Berlin Mathematics Research Center, EXC-2046/1 – project ID: 390685689.

If you use this code for work that you publish, please cite this repository. @misc{qradient, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/frederikwilde/qradient}} }

license

This work is subject to the GNU General Public License as specified in the LICENSE file.

Issues

Bump ipython from 7.5.0 to 8.10.0

opened on 2023-02-11 01:01:07 by dependabot[bot]

Bumps ipython from 7.5.0 to 8.10.0.

Release notes

Sourced from ipython's releases.

See https://pypi.org/project/ipython/

We do not use GitHub release anymore. Please see PyPI https://pypi.org/project/ipython/

7.9.0

No release notes provided.

7.8.0

No release notes provided.

7.7.0

No release notes provided.

7.6.1

No release notes provided.

7.6.0

No release notes provided.

Commits
  • 15ea1ed release 8.10.0
  • 560ad10 DOC: Update what's new for 8.10 (#13939)
  • 7557ade DOC: Update what's new for 8.10
  • 385d693 Merge pull request from GHSA-29gw-9793-fvw7
  • e548ee2 Swallow potential exceptions from showtraceback() (#13934)
  • 0694b08 MAINT: mock slowest test. (#13885)
  • 8655912 MAINT: mock slowest test.
  • a011765 Isolate the attack tests with setUp and tearDown methods
  • c7a9470 Add some regression tests for this change
  • fd34cf5 Swallow potential exceptions from showtraceback()
  • Additional commits viewable in compare view


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Bump nbconvert from 5.5.0 to 6.5.1

opened on 2022-08-23 17:53:49 by dependabot[bot]

Bumps nbconvert from 5.5.0 to 6.5.1.

Release notes

Sourced from nbconvert's releases.

Release 6.5.1

No release notes provided.

6.5.0

What's Changed

New Contributors

Full Changelog: https://github.com/jupyter/nbconvert/compare/6.4.5...6.5

6.4.3

What's Changed

New Contributors

Full Changelog: https://github.com/jupyter/nbconvert/compare/6.4.2...6.4.3

6.4.0

What's Changed

New Contributors

... (truncated)

Commits


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Bump mistune from 0.8.4 to 2.0.3

opened on 2022-07-29 22:57:09 by dependabot[bot]

Bumps mistune from 0.8.4 to 2.0.3.

Release notes

Sourced from mistune's releases.

Version 2.0.2

Fix escape_url via lepture/mistune#295

Version 2.0.1

Fix XSS for image link syntax.

Version 2.0.0

First release of Mistune v2.

Version 2.0.0 RC1

In this release, we have a Security Fix for harmful links.

Version 2.0.0 Alpha 1

This is the first release of v2. An alpha version for users to have a preview of the new mistune.

Changelog

Sourced from mistune's changelog.

Changelog

Here is the full history of mistune v2.

Version 2.0.4


Released on Jul 15, 2022

    

  • Fix url plugin in <a> tag
    • 

  • Fix * formatting
    • 



Version 2.0.3

Released on Jun 27, 2022

  • Fix table plugin
  • Security fix for CVE-2022-34749

Version 2.0.2


Released on Jan 14, 2022

Fix escape_url


Version 2.0.1

Released on Dec 30, 2021

XSS fix for image link syntax.

Version 2.0.0


Released on Dec 5, 2021

This is the first non-alpha release of mistune v2.


Version 2.0.0rc1

Released on Feb 16, 2021

Version 2.0.0a6


</tr></table>

... (truncated)

Commits
  • 3f422f1 Version bump 2.0.3
  • a6d4321 Fix asteris emphasis regex CVE-2022-34749
  • 5638e46 Merge pull request #307 from jieter/patch-1
  • 0eba471 Fix typo in guide.rst
  • 61e9337 Fix table plugin
  • 76dec68 Add documentation for renderer heading when TOC enabled
  • 799cd11 Version bump 2.0.2
  • babb0cf Merge pull request #295 from dairiki/bug.escape_url
  • fc2cd53 Make mistune.util.escape_url less aggressive
  • 3e8d352 Version bump 2.0.1
  • Additional commits viewable in compare view


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Bump numpy from 1.16.4 to 1.22.0

opened on 2022-06-21 22:58:10 by dependabot[bot]

Bumps numpy from 1.16.4 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

  • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
  • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
  • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
  • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
  • A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits


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Bump notebook from 6.4.1 to 6.4.12

opened on 2022-06-16 23:30:21 by dependabot[bot]

Bumps notebook from 6.4.1 to 6.4.12.

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Frederik Wilde

Ph.D. student in the field of quantum information science

GitHub Repository