Merge branch 'master' into beta

refraction-ray · refraction-ray · commit bcb7571ec23b · 2024-11-30T17:46:52.000+08:00
diff --git a/.all-contributorsrc b/.all-contributorsrc
@@ -331,6 +331,15 @@
       "contributions": [
         "example"
       ]
+    },
+    {
+      "login": "abhinavd",
+      "name": "Abhinav Deshpande",
+      "avatar_url": "https://avatars.githubusercontent.com/u/6169877?v=4",
+      "profile": "https://adeshpande.gitlab.io",
+      "contributions": [
+        "code"
+      ]
     }
   ],
   "contributorsPerLine": 6,
diff --git a/.pylintrc b/.pylintrc
@@ -53,8 +53,8 @@ max-module-lines=2000
 
 # Exceptions that will emit a warning when being caught. Defaults to
 # "BaseException, Exception".
-overgeneral-exceptions=BaseException,
-                       Exception
+overgeneral-exceptions=builtins.BaseException,
+                       builtins.Exception
 
 # Note how codecc doesn't accept goddnames in pylintrc, and how we use pylint disable invalid name per file instead
 # it is not neat at all, but this is codecc's badness :(
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -2,6 +2,14 @@
 
 ## Unreleased
 
+## 1.0.1
+
+### Fixed
+
+- Fix support for qiskit>1
+
+- tf>=2.16.2 fix the complex input issue for keras
+
 ## 1.0.0
 
 ### Added
diff --git a/README.md b/README.md
@@ -29,7 +29,7 @@ TensorCircuit-NG is a high performance quantum software framework, supporting fo
 
 TensorCircuit-NG is built on top of modern machine learning frameworks: Jax, TensorFlow, and PyTorch. It is specifically suitable for highly efficient simulations of quantum-classical hybrid paradigm and variational quantum algorithms in ideal, noisy and approximate cases. It also supports quantum hardware access and provides CPU/GPU/QPU hybrid deployment solutions.
 
-TensorCircuit-NG is [fully compatible](https://tensorcircuit-ng.readthedocs.io/en/latest/faq.html#what-is-the-relation-between-tensorcircuit-and-tensorcircuit-ng) with TensorCircuit with more new features and bug fixes.
+TensorCircuit-NG is [fully compatible](https://tensorcircuit-ng.readthedocs.io/en/latest/faq.html#what-is-the-relation-between-tensorcircuit-and-tensorcircuit-ng) with TensorCircuit with more new features and bug fixes (support numpy>2 and qiskit>1).
 
 ## Getting Started
 
@@ -297,6 +297,7 @@ TensorCircuit-NG is open source, released under the Apache License, Version 2.0.
       <td align="center" valign="top" width="16.66%"><a href="https://github.com/king-p3nguin"><img src="https://avatars.githubusercontent.com/u/103920010?v=4?s=100" width="100px;" alt="Kazuki Tsuoka"/><br /><sub><b>Kazuki Tsuoka</b></sub></a><br /><a href="https://github.com/tensorcircuit/tensorcircuit-ng/commits?author=king-p3nguin" title="Code">💻</a> <a href="https://github.com/tensorcircuit/tensorcircuit-ng/commits?author=king-p3nguin" title="Tests">⚠️</a> <a href="https://github.com/tensorcircuit/tensorcircuit-ng/commits?author=king-p3nguin" title="Documentation">📖</a> <a href="#example-king-p3nguin" title="Examples">💡</a></td>
       <td align="center" valign="top" width="16.66%"><a href="https://gopal-dahale.github.io/"><img src="https://avatars.githubusercontent.com/u/49199003?v=4?s=100" width="100px;" alt="Gopal Ramesh Dahale"/><br /><sub><b>Gopal Ramesh Dahale</b></sub></a><br /><a href="#example-Gopal-Dahale" title="Examples">💡</a></td>
       <td align="center" valign="top" width="16.66%"><a href="https://github.com/AbdullahKazi500"><img src="https://avatars.githubusercontent.com/u/75779966?v=4?s=100" width="100px;" alt="Chanandellar Bong"/><br /><sub><b>Chanandellar Bong</b></sub></a><br /><a href="#example-AbdullahKazi500" title="Examples">💡</a></td>
+      <td align="center" valign="top" width="16.66%"><a href="https://adeshpande.gitlab.io"><img src="https://avatars.githubusercontent.com/u/6169877?v=4?s=100" width="100px;" alt="Abhinav Deshpande"/><br /><sub><b>Abhinav Deshpande</b></sub></a><br /><a href="https://github.com/tensorcircuit/tensorcircuit-ng/commits?author=abhinavd" title="Code">💻</a></td>
     </tr>
   </tbody>
 </table>
@@ -365,8 +366,8 @@ Reference paper: https://arxiv.org/abs/2308.01068 (published in PRApplied).
 
 ### More works
 
- <details>
-  <summary> More research works and code projects using TensorCircuit (click for details) </summary>
+<details>
+  <summary> More research works and code projects using TensorCircuit and TensorCircuit-NG (click for details) </summary>
 
 - Neural Predictor based Quantum Architecture Search: https://arxiv.org/abs/2103.06524 (published in Machine Learning: Science and Technology).
 
@@ -388,22 +389,40 @@ Reference paper: https://arxiv.org/abs/2308.01068 (published in PRApplied).
 
 - Practical advantage of quantum machine learning in ghost imaging: https://www.nature.com/articles/s42005-023-01290-1 (published in Communications Physics).
 
-- Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic: https://arxiv.org/abs/2308.11616.
+- Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic: https://arxiv.org/abs/2308.11616 (published in Quantum).
 
 - Comparison of Quantum Simulators for Variational Quantum Search: A Benchmark Study: https://arxiv.org/abs/2309.05924.
 
 - Statistical analysis of quantum state learning process in quantum neural networks: https://arxiv.org/abs/2309.14980 (published in NeurIPS).
 
 - Generative quantum machine learning via denoising diffusion probabilistic models: https://arxiv.org/abs/2310.05866 (published in PRL).
 
-- Quantum imaginary time evolution and quantum annealing meet topological sector optimization: https://arxiv.org/abs/2310.04291.
+- Exploring the topological sector optimization on quantum computers: https://arxiv.org/abs/2310.04291 (published in PRApplied).
 
 - Google Summer of Code 2023 Projects (QML4HEP): https://github.com/ML4SCI/QMLHEP, https://github.com/Gopal-Dahale/qgnn-hep, https://github.com/salcc/QuantumTransformers.
 
+- Universal imaginary-time critical dynamics on a quantum computer: https://arxiv.org/abs/2308.05408 (published in PRB).
+
 - Absence of barren plateaus in finite local-depth circuits with long-range entanglement: https://arxiv.org/abs/2311.01393 (published in PRL).
 
 - Non-Markovianity benefits quantum dynamics simulation: https://arxiv.org/abs/2311.17622.
 
-  </details>
+- Variational post-selection for ground states and thermal states simulation: https://arxiv.org/abs/2402.07605 (published in PRB).
+
+- Subsystem information capacity in random circuits and Hamiltonian dynamics: https://arxiv.org/abs/2405.05076.
+
+- Symmetry restoration and quantum Mpemba effect in symmetric random circuits: https://arxiv.org/abs/2403.08459 (published in PRL).
+
+- Quantum Mpemba effects in many-body localization systems: https://arxiv.org/abs/2408.07750.
+
+- Supersymmetry dynamics on Rydberg atom arrays: https://arxiv.org/abs/2410.21386.
+
+- Dynamic parameterized quantum circuits: expressive and barren-plateau free: https://arxiv.org/abs/2411.05760.
+
+- Holographic deep thermalization: https://arxiv.org/abs/2411.03587.
+
+- Quantum deep generative prior with programmable quantum circuits: https://www.nature.com/articles/s42005-024-01765-9 (published in Communications Physics).
+
+</details>
 
 If you want to highlight your research work or projects here, feel free to add by opening PR.
diff --git a/docs/source/contribution.rst b/docs/source/contribution.rst
@@ -250,6 +250,7 @@ And from GitHub page choose draft a release from tag.
     export VERSION=0.x.y
     twine upload dist/tensorcircuit-${VERSION}-py3-none-any.whl dist/tensorcircuit-${VERSION}.tar.gz
 
+For upload authetication via token, please refer `this tutorial <https://kynan.github.io/blog/2020/05/23/how-to-upload-your-package-to-the-python-package-index-pypi-test-server>`__ . (username is ``__token__``)
 
 **DockerHub Release**
 
diff --git a/requirements/requirements-2411.txt b/requirements/requirements-2411.txt
@@ -0,0 +1,225 @@
+absl-py==2.1.0
+alabaster==1.0.0
+annotated-types==0.7.0
+anyio==4.6.2.post1
+astroid==3.3.5
+asttokens==3.0.0
+astunparse==1.6.3
+attrs==24.2.0
+babel==2.16.0
+beautifulsoup4==4.12.3
+black==24.10.0
+bleach==6.2.0
+cachetools==5.5.0
+certifi==2024.8.30
+cffi==1.17.1
+charset-normalizer==3.4.0
+chex==0.1.87
+cirq==1.4.1
+cirq-aqt==1.4.1
+cirq-core==1.4.1
+cirq-google==1.4.1
+cirq-ionq==1.4.1
+cirq-pasqal==1.4.1
+cirq-rigetti==1.4.1
+cirq-web==1.4.1
+click==8.1.7
+contourpy==1.3.1
+coverage==7.6.8
+cryptography==44.0.0
+cycler==0.12.1
+Cython==3.0.11
+decorator==5.1.1
+defusedxml==0.7.1
+Deprecated==1.2.15
+deprecation==2.1.0
+dill==0.3.9
+docutils==0.21.2
+duet==0.2.9
+etils==1.11.0
+exceptiongroup==1.2.2
+execnet==2.1.1
+executing==2.1.0
+fastjsonschema==2.21.0
+filelock==3.16.1
+flatbuffers==24.3.25
+fonttools==4.55.0
+fsspec==2024.10.0
+furo==2024.8.6
+gast==0.6.0
+google-api-core==2.23.0
+google-auth==2.36.0
+google-pasta==0.2.0
+googleapis-common-protos==1.66.0
+graphviz==0.20.3
+grpc-interceptor==0.15.4
+grpcio==1.68.0
+grpcio-status==1.62.3
+h11==0.14.0
+h5py==3.12.1
+httpcore==1.0.7
+httpx==0.28.0
+ibm-cloud-sdk-core==3.22.0
+ibm-platform-services==0.59.0
+idna==3.10
+imagesize==1.4.1
+iniconfig==2.0.0
+ipython==8.30.0
+isort==5.13.2
+jax==0.4.35
+jaxlib==0.4.35
+jedi==0.19.2
+Jinja2==3.1.4
+jsonschema==4.23.0
+jsonschema-specifications==2024.10.1
+jupyter_client==8.6.3
+jupyter_core==5.7.2
+jupyterlab_pygments==0.3.0
+keras==3.7.0
+kiwisolver==1.4.7
+libclang==18.1.1
+Markdown==3.7
+markdown-it-py==3.0.0
+MarkupSafe==3.0.2
+matplotlib==3.9.2
+matplotlib-inline==0.1.7
+mccabe==0.7.0
+mdit-py-plugins==0.4.2
+mdurl==0.1.2
+mistune==3.0.2
+mitiq==0.41.0
+ml-dtypes==0.4.1
+mpmath==1.3.0
+msgpack==1.1.0
+mthree==2.7.0
+# 2.8 gives buffer unmatch float vs double
+mypy==1.13.0
+mypy-extensions==1.0.0
+myst-parser==4.0.0
+namex==0.0.8
+nbclient==0.10.1
+nbconvert==7.16.4
+nbformat==5.10.4
+nbsphinx==0.9.5
+networkx==3.4.2
+numpy==1.26.4
+openfermion==1.6.1
+opt_einsum==3.4.0
+optax==0.2.4
+optree==0.13.1
+orjson==3.10.12
+packaging==23.2
+pandas==2.2.3
+pandocfilters==1.5.1
+parso==0.8.4
+pathspec==0.12.1
+pbr==6.1.0
+pexpect==4.9.0
+pillow==11.0.0
+platformdirs==4.3.6
+pluggy==1.5.0
+ply==3.11
+prompt_toolkit==3.0.48
+proto-plus==1.25.0
+protobuf==4.25.5
+psutil==6.1.0
+ptyprocess==0.7.0
+PubChemPy==1.0.4
+pure_eval==0.2.3
+py-cpuinfo==9.0.0
+pyasn1==0.6.1
+pyasn1_modules==0.4.1
+pycparser==2.22
+pydantic==2.10.2
+pydantic_core==2.27.1
+Pygments==2.18.0
+PyJWT==2.10.1
+pylatexenc==2.10
+pylint==3.3.1
+pyparsing==3.2.0
+pyquil==4.14.3
+pyspnego==0.11.2
+pytest==7.4.4
+# < 8.0 due to lazy-fixture
+# https://github.com/dev-petrov/pytest-lazy-fixtures for the future
+pytest-benchmark==5.0.1
+pytest-cov==6.0.0
+pytest-lazy-fixture==0.6.3
+pytest-xdist==3.6.1
+python-dateutil==2.9.0.post0
+python-rapidjson==1.20
+pytz==2024.2
+PyYAML==6.0.2
+pyzmq==26.2.0
+qcs-api-client-common==0.10.0
+qcs-sdk-python==0.21.4
+qiskit==1.2.4
+# qiskit 1.3 global_phase in DAG attribute error
+qiskit-aer==0.15.1
+qiskit-algorithms==0.3.1
+qiskit-ibm-runtime==0.33.2
+qiskit-nature==0.7.2
+quil==0.13.2
+referencing==0.35.1
+requests==2.32.3
+requests_ntlm==1.3.0
+rich==13.9.4
+rpcq==3.11.0
+rpds-py==0.21.0
+rsa==4.9
+ruamel.yaml==0.18.6
+ruamel.yaml.clib==0.2.12
+rustworkx==0.15.1
+scipy==1.14.1
+six==1.16.0
+sniffio==1.3.1
+snowballstemmer==2.2.0
+sortedcontainers==2.4.0
+soupsieve==2.6
+Sphinx==8.1.3
+sphinx-basic-ng==1.0.0b2
+sphinx-copybutton==0.5.2
+sphinx_design==0.6.1
+sphinxcontrib-applehelp==2.0.0
+sphinxcontrib-devhelp==2.0.0
+sphinxcontrib-htmlhelp==2.1.0
+sphinxcontrib-jsmath==1.0.1
+sphinxcontrib-qthelp==2.0.0
+sphinxcontrib-serializinghtml==2.0.0
+stack-data==0.6.3
+stevedore==5.4.0
+symengine==0.13.0
+sympy==1.13.1
+tabulate==0.9.0
+tensorboard==2.18.0
+tensorboard-data-server==0.7.2
+tensorflow==2.18.0
+tensorflow-io-gcs-filesystem==0.37.1
+tensornetwork-ng==0.5.0
+termcolor==2.5.0
+tinycss2==1.4.0
+tokenize_rt==6.1.0
+tomli==2.2.1
+tomlkit==0.13.2
+toolz==1.0.0
+torch==2.5.1
+tornado==6.4.2
+tqdm==4.67.1
+traitlets==5.14.3
+types-Deprecated==1.2.15.20241117
+types-docutils==0.21.0.20241128
+types-protobuf==5.28.3.20241030
+types-pytz==2024.2.0.20241003
+types-requests==2.32.0.20241016
+types-setuptools==75.6.0.20241126
+types-toml==0.10.8.20240310
+types-typed-ast==1.5.8.7
+types-urllib3==1.26.25.14
+typing_extensions==4.12.2
+tzdata==2024.2
+urllib3==2.2.3
+wcwidth==0.2.13
+webencodings==0.5.1
+websocket-client==1.8.0
+Werkzeug==3.1.3
+wrapt==1.17.0
diff --git a/requirements/requirements-extra.txt b/requirements/requirements-extra.txt
@@ -8,3 +8,4 @@ torch==2.2.2
 # jupyter
 mthree==1.1.0
 openfermion
+pylatexenc
diff --git a/setup.py b/setup.py
@@ -19,11 +19,11 @@
     include_package_data=True,
     install_requires=["numpy", "scipy", "tensornetwork-ng", "networkx"],
     extras_require={
-        "tensorflow": ["tensorflow<2.16"],
+        "tensorflow": ["tensorflow"],
         "jax": ["jax", "jaxlib"],
         "torch": ["torch"],
-        "qiskit": ["qiskit<1.0"],
-        "cloud": ["qiskit<1.0", "mthree"],
+        "qiskit": ["qiskit"],
+        "cloud": ["qiskit", "mthree<2.8"],
     },
     classifiers=[
         "Programming Language :: Python :: 3",
diff --git a/tensorcircuit/__init__.py b/tensorcircuit/__init__.py
@@ -1,4 +1,4 @@
-__version__ = "1.0.0"
+__version__ = "1.0.1"
 __author__ = "TensorCircuit Authors"
 __creator__ = "refraction-ray"
 
diff --git a/tensorcircuit/abstractcircuit.py b/tensorcircuit/abstractcircuit.py
@@ -783,7 +783,14 @@ def to_openqasm(self, **kws: Any) -> str:
         :return: circuit representation in openqasm format
         :rtype: str
         """
-        return self.to_qiskit(enable_instruction=True).qasm(**kws)  # type: ignore
+        qc = self.to_qiskit(enable_instruction=True)
+        try:
+            qasm_str = qc.qasm(**kws)  # type: ignore
+        except AttributeError:  # qiskit 1.0
+            from qiskit.qasm2 import dumps
+
+            qasm_str = dumps(qc)  # type: ignore
+        return qasm_str  # type: ignore
 
     @classmethod
     def from_openqasm(
diff --git a/tensorcircuit/applications/van.py b/tensorcircuit/applications/van.py
diff --git a/tensorcircuit/compiler/qiskit_compiler.py b/tensorcircuit/compiler/qiskit_compiler.py
diff --git a/tensorcircuit/interfaces/torch.py b/tensorcircuit/interfaces/torch.py
diff --git a/tensorcircuit/translation.py b/tensorcircuit/translation.py

Original file line number	Diff line number	Diff line change
`@@ -1,4 +1,4 @@`
`1`		`-__version__ = "1.0.0"`
	`1`	`+__version__ = "1.0.1"`
`2`	`2`	`__author__ = "TensorCircuit Authors"`
`3`	`3`	`__creator__ = "refraction-ray"`
`4`	`4`