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support all modules up-to-date
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‎CHANGELOG.md

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## Unreleased
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### Fixed
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- Fix support for qiskit>1
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- tf>=2.16.2 fix the complex input issue for keras
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## 1.0.0
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### Added

‎requirements/requirements-2411.txt

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absl-py==2.1.0
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alabaster==1.0.0
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annotated-types==0.7.0
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anyio==4.6.2.post1
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astroid==3.3.5
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asttokens==3.0.0
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astunparse==1.6.3
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attrs==24.2.0
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babel==2.16.0
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beautifulsoup4==4.12.3
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black==24.10.0
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bleach==6.2.0
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cachetools==5.5.0
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certifi==2024.8.30
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cffi==1.17.1
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charset-normalizer==3.4.0
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chex==0.1.87
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cirq==1.4.1
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cirq-aqt==1.4.1
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cirq-core==1.4.1
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cirq-google==1.4.1
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cirq-ionq==1.4.1
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cirq-pasqal==1.4.1
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cirq-rigetti==1.4.1
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cirq-web==1.4.1
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click==8.1.7
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contourpy==1.3.1
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coverage==7.6.8
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cryptography==44.0.0
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cycler==0.12.1
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Cython==3.0.11
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decorator==5.1.1
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defusedxml==0.7.1
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Deprecated==1.2.15
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deprecation==2.1.0
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dill==0.3.9
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docutils==0.21.2
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duet==0.2.9
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etils==1.11.0
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exceptiongroup==1.2.2
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execnet==2.1.1
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executing==2.1.0
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fastjsonschema==2.21.0
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filelock==3.16.1
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flatbuffers==24.3.25
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fonttools==4.55.0
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fsspec==2024.10.0
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furo==2024.8.6
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gast==0.6.0
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google-api-core==2.23.0
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google-auth==2.36.0
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google-pasta==0.2.0
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googleapis-common-protos==1.66.0
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graphviz==0.20.3
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grpc-interceptor==0.15.4
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grpcio==1.68.0
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grpcio-status==1.62.3
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h11==0.14.0
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h5py==3.12.1
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httpcore==1.0.7
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httpx==0.28.0
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ibm-cloud-sdk-core==3.22.0
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ibm-platform-services==0.59.0
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idna==3.10
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imagesize==1.4.1
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iniconfig==2.0.0
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ipython==8.30.0
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isort==5.13.2
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jax==0.4.35
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jaxlib==0.4.35
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jedi==0.19.2
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Jinja2==3.1.4
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jsonschema==4.23.0
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jsonschema-specifications==2024.10.1
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jupyter_client==8.6.3
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jupyter_core==5.7.2
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jupyterlab_pygments==0.3.0
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keras==3.7.0
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kiwisolver==1.4.7
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libclang==18.1.1
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Markdown==3.7
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markdown-it-py==3.0.0
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MarkupSafe==3.0.2
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matplotlib==3.9.2
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matplotlib-inline==0.1.7
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mccabe==0.7.0
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mdit-py-plugins==0.4.2
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mdurl==0.1.2
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mistune==3.0.2
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mitiq==0.41.0
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ml-dtypes==0.4.1
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mpmath==1.3.0
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msgpack==1.1.0
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mthree==2.7.0
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# 2.8 gives buffer unmatch float vs double
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mypy==1.13.0
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mypy-extensions==1.0.0
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myst-parser==4.0.0
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namex==0.0.8
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nbclient==0.10.1
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nbconvert==7.16.4
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nbformat==5.10.4
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nbsphinx==0.9.5
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networkx==3.4.2
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numpy==1.26.4
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openfermion==1.6.1
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opt_einsum==3.4.0
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optax==0.2.4
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optree==0.13.1
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orjson==3.10.12
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packaging==23.2
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pandas==2.2.3
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pandocfilters==1.5.1
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parso==0.8.4
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pathspec==0.12.1
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pbr==6.1.0
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pexpect==4.9.0
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pillow==11.0.0
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platformdirs==4.3.6
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pluggy==1.5.0
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ply==3.11
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prompt_toolkit==3.0.48
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proto-plus==1.25.0
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protobuf==4.25.5
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psutil==6.1.0
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ptyprocess==0.7.0
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PubChemPy==1.0.4
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pure_eval==0.2.3
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py-cpuinfo==9.0.0
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pyasn1==0.6.1
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pyasn1_modules==0.4.1
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pycparser==2.22
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pydantic==2.10.2
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pydantic_core==2.27.1
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Pygments==2.18.0
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PyJWT==2.10.1
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pylatexenc==2.10
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pylint==3.3.1
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pyparsing==3.2.0
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pyquil==4.14.3
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pyspnego==0.11.2
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pytest==7.4.4
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# < 8.0 due to lazy-fixture
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# https://github.com/dev-petrov/pytest-lazy-fixtures for the future
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pytest-benchmark==5.0.1
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pytest-cov==6.0.0
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pytest-lazy-fixture==0.6.3
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pytest-xdist==3.6.1
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python-dateutil==2.9.0.post0
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python-rapidjson==1.20
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pytz==2024.2
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PyYAML==6.0.2
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pyzmq==26.2.0
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qcs-api-client-common==0.10.0
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qcs-sdk-python==0.21.4
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qiskit==1.2.4
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# qiskit 1.3 global_phase in DAG attribute error
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qiskit-aer==0.15.1
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qiskit-algorithms==0.3.1
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qiskit-ibm-runtime==0.33.2
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qiskit-nature==0.7.2
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quil==0.13.2
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referencing==0.35.1
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requests==2.32.3
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requests_ntlm==1.3.0
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rich==13.9.4
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rpcq==3.11.0
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rpds-py==0.21.0
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rsa==4.9
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ruamel.yaml==0.18.6
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ruamel.yaml.clib==0.2.12
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rustworkx==0.15.1
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scipy==1.14.1
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six==1.16.0
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sniffio==1.3.1
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snowballstemmer==2.2.0
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sortedcontainers==2.4.0
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soupsieve==2.6
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Sphinx==8.1.3
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sphinx-basic-ng==1.0.0b2
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sphinx-copybutton==0.5.2
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sphinx_design==0.6.1
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sphinxcontrib-applehelp==2.0.0
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sphinxcontrib-devhelp==2.0.0
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sphinxcontrib-htmlhelp==2.1.0
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sphinxcontrib-jsmath==1.0.1
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sphinxcontrib-qthelp==2.0.0
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sphinxcontrib-serializinghtml==2.0.0
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stack-data==0.6.3
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stevedore==5.4.0
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symengine==0.13.0
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sympy==1.13.1
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tabulate==0.9.0
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tensorboard==2.18.0
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tensorboard-data-server==0.7.2
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tensorflow==2.18.0
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tensorflow-io-gcs-filesystem==0.37.1
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tensornetwork-ng==0.5.0
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termcolor==2.5.0
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tinycss2==1.4.0
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tokenize_rt==6.1.0
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tomli==2.2.1
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tomlkit==0.13.2
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toolz==1.0.0
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torch==2.5.1
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tornado==6.4.2
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tqdm==4.67.1
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traitlets==5.14.3
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types-Deprecated==1.2.15.20241117
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types-docutils==0.21.0.20241128
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types-protobuf==5.28.3.20241030
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types-pytz==2024.2.0.20241003
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types-requests==2.32.0.20241016
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types-setuptools==75.6.0.20241126
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types-toml==0.10.8.20240310
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types-typed-ast==1.5.8.7
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types-urllib3==1.26.25.14
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typing_extensions==4.12.2
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tzdata==2024.2
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urllib3==2.2.3
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wcwidth==0.2.13
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webencodings==0.5.1
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websocket-client==1.8.0
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Werkzeug==3.1.3
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wrapt==1.17.0

‎setup.py

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include_package_data=True,
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install_requires=["numpy", "scipy", "tensornetwork-ng", "networkx"],
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extras_require={
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"tensorflow": ["tensorflow<2.16"],
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"tensorflow": ["tensorflow"],
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"jax": ["jax", "jaxlib"],
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"torch": ["torch"],
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"qiskit": ["qiskit<1.0"],
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"cloud": ["qiskit<1.0", "mthree"],
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"qiskit": ["qiskit"],
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"cloud": ["qiskit", "mthree<2.8"],
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},
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classifiers=[
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"Programming Language :: Python :: 3",

‎tensorcircuit/applications/van.py

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# Build the conv2d layer to initialize kernel variables
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self.conv.build(input_shape)
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# Use the initialized kernel to create the mask
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kernel_shape = self.conv.kernel.get_shape()
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self.kernel = self.add_weight("kernel", self.conv.kernel.shape)
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self.bias = self.add_weight("bias", self.conv.bias.shape)
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kernel_shape = self.conv.kernel.shape
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self.kernel = self.add_weight(shape=self.conv.kernel.shape)
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self.bias = self.add_weight(shape=self.conv.bias.shape)
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self.mask = np.zeros(shape=kernel_shape)
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self.mask[: kernel_shape[0] // 2, ...] = 1.0
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self.mask[kernel_shape[0] // 2, : kernel_shape[1] // 2, ...] = 1.0
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if self.mask_type == "B":
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self.mask[kernel_shape[0] // 2, kernel_shape[1] // 2, ...] = 1.0
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def call(self, inputs: tf.Tensor) -> tf.Tensor:
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self.conv.kernel = self.kernel * self.mask
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self.conv.bias = self.bias
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# self.conv.kernel = self.kernel * self.mask
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# self.conv.bias = self.bias
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self.conv.set_weights([self.kernel * self.mask, self.bias])
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return self.conv(inputs)
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‎tensorcircuit/translation.py

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def get_qiskit_qasm(qc: Any) -> str:
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try:
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qasm_str = qc.qasm(**kws) # type: ignore
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qasm_str = qc.qasm() # type: ignore
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except AttributeError: # qiskit 1.0
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from qiskit.qasm2 import dumps
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