* ci: try Python 3.15 release candidate (DRAFT)
Point the repo's .python-version at 3.15 so every workflow that reads
python-version-file runs on the 3.15 release candidate (allow-prereleases
is already enabled across all workflows). Add the 3.15 trove classifier
and bump scipy>=1.18.1, which is the first scipy with cp315 manylinux
wheels, so uv installs it as a wheel rather than building from source.
Rebuilt on current master: the earlier version of this PR edited the
per-workflow `python-version: 3.14` lines, but master has since moved
the interpreter to a single `.python-version` file, so the change is now
a one-line switch there.
Purpose is to document which dependencies/tests are not yet 3.15-ready.
Must stay DRAFT until Python 3.15 GA (early October). Requested in #15081.
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* Upgrade to Python 3.15t
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* Added Shor Algorithm for RSA n factorization
* updating DIRECTORY.md
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* Added referred website and handle type hints
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* Developed the Logical implementation of Shor Algo #12318
* Apply suggestion from @cclauss
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* Fixed failed examples
* Added testmod function
* Revert pre-commit changes
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* Add print statements for quantum Fourier transform output
Added print statements to display the total count for the quantum Fourier transform state when the module is run directly.
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* quantum: modernize QFT to Qiskit 2.x + re-enable its test
quantum/q_fourier_transform.py used the Aer and execute symbols that were
removed from qiskit in the 1.0 API break, so it could never run and was on
the pytest --ignore list. Port it to the current API:
- Drop 'from qiskit import Aer, execute'. Build the circuit unchanged, then
simulate with the pure-Python BasicSimulator via transpile() + backend.run(),
so no compiled qiskit-aer backend is needed (qiskit-aer has no Python 3.14
wheels yet; BasicSimulator ships inside qiskit core).
- Seed the run (seed_simulator=42) and rewrite the doctest to assert the
reproducible, shot-noise-independent facts (the four outcomes appear and the
counts sum to the shot total) instead of exact per-state counts, which random
sampling can never hit.
- Add 'qiskit>=2' to project dependencies and drop the quantum ignore + the
stale '# TODO: #8818 Re-enable quantum tests' comment in build.yml.
Draft until CI confirms qiskit installs and imports on the repo's Python 3.14.
* Update quantum/q_fourier_transform.py
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* DRAFT: GitHub Actions: Test on Python 3.12
Repeats #8777
* #8777
Some of our dependencies will not be ready yet.
* Python 3.12: Disable qiskit and tensorflow algorithms
* updating DIRECTORY.md
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* pre-commit: Upgrade psf/black for stable style 2023
Updating https://github.com/psf/black ... updating 22.12.0 -> 23.1.0 for their `2023 stable style`.
* https://github.com/psf/black/blob/main/CHANGES.md#2310
> This is the first [psf/black] release of 2023, and following our stability policy, it comes with a number of improvements to our stable style…
Also, add https://github.com/tox-dev/pyproject-fmt and https://github.com/abravalheri/validate-pyproject to pre-commit.
I only modified `.pre-commit-config.yaml` and all other files were modified by pre-commit.ci and psf/black.
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* Added BB84 algorithm.
* Function name lowercase + imports fix
I thought uppercase was appropriate because they're initials.
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* Update quantum/bb84.py
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* Removed python < 3.11 restriction from qiskit
* Removed python < 3.11 restriction from qiskit
* scikit-learn
* Update quantum/bb84.py
Correct typo in `default_rng()` call
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* create quantum_fourier_transform
This is part of the #Hacktoberfest.
I build the quantum fourier transform for N qubits. (n = 3 in the example)
Best,
Kevin
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* Add the doctest!
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* Pass first then fail
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* quantum_teleportation.py
This code is for the #Hacktoberfest.
This file run the quantum teleportation circuit using Qiskit.
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* Update quantum/quantum_teleportation.py
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* Update quantum/quantum_teleportation.py
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* Update
Corrected some typos.
Add more comments for adding the gates.
Update the variable qc with quantum_circuit in the simulator and execute.
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* python return typehint solved.
* Fix long line
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* Create superdense_coding.py
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* Create quantum_random.py
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* Update quantum/quantum_random.py
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* Update quantum_random.py
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* requirements.txt: Add projectq
* Update quantum_random.py
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* Update quantum_random.py
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* Create q_full_adder.py
This is for the #Hacktoberfest.
This circuit is the quantum full adder. I saw that in the repo is the half adder so I decided to build the full adder to complete the set of adders.
I hope that this is enough to be consider a contribution.
Best,
Kevin
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* Erase the unused numpy library
* Create the doctest.
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* doctest for negative numbers, float, etc.
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* Update README.md
Added Google Cirq references
* Create barcode_validator.py
Barcode/EAN validator
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* Update barcode_validator.py
Included docstring and updated variables to snake_case
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* Update barcode_validator.py
Included docset and updated bugs
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Implemented the changes asked in review.
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* The black formatter is no longer beta
* pre-commit autoupdate
* pre-commit autoupdate
* Remove project_euler/problem_145 which is killing our CI tests
* updating DIRECTORY.md
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* Approve functions used as default argumenets
* The default value for **seed** is the result of a function call
The default value for **seed** is the result of a function call which is not normally recommended and causes flake8-bugbear to raise a B008 error. However, in this case, it is accptable because `LinearCongruentialGenerator.__init__()` will only be called once per instance and it ensures that each instance will generate a unique sequence of numbers.
* The default value for **backend** is the result of a function call
The default value for **backend** is the result of a function call which is not normally recommended and causes flake8-bugbear to raise a B008 error. However, in this case, it is accptable because `Aer.get_backend()` is called when the function is definition and that same backend is then reused for function calls.
* Update linear_congruential_generator.py
* Update ripple_adder_classic.py
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* requirements: add qiskit
major library required for quantum computing
* quantum: add quantum ripple adder implementation
right now we are essentially performing the same task as a classic ripple adder
Signed-off-by: rupansh-arch <rupanshsekar@hotmail.com>
* Trying to time every solution
* Proposal 2 for timing PE solutions:
- Use pytest fixture along with --capture=no flag to print out the
top DURATIONS slowest solution at the end of the test sessions.
- Remove the print part and try ... except ... block from the test
function.
* Proposal 3 for timing PE solutions:
Completely changed the way I was performing the tests. Instead of
parametrizing the problem numbers and expected output, I will
parametrize the solution file path.
Steps:
- Collect all the solution file paths
- Convert the paths into a Python module
- Call solution on the module
- Assert the answer with the expected results
For assertion, it was needed to convert the JSON list object to
Python dictionary object which required changing the JSON file itself.
* Add type hints for variables
* Fix whitespace in single_qubit_measure
* Create Python/quantum/README.md
Started at #1831
* fixup! Format Python code with psf/black push
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