Merge pull request #241 from mit-han-lab/dev

Dev

Author: Hanrui-Wang

README.md

@@ -58,8 +58,8 @@ Researchers on quantum algorithm design, parameterized quantum circuit training,
 Dynamic computation graph, automatic gradient computation, fast GPU support, batch model tersorized processing.
 
 ## News
+- v0.1.8 Available!
 - Check the [dev branch](https://github.com/mit-han-lab/torchquantum/tree/dev) for new latest features on quantum layers and quantum algorithms.
-- v0.1.7 Available!
 - Join our [Slack](https://join.slack.com/t/torchquantum/shared_invite/zt-1ghuf283a-OtP4mCPJREd~367VX~TaQQ) for real time support!
 - Welcome to contribute! Please contact us or post in the Github Issues if you want to have new examples implemented by TorchQuantum or any other questions.
 - Qmlsys website goes online: [qmlsys.mit.edu](https://qmlsys.mit.edu) and [torchquantum.org](https://torchquantum.org)

setup.py

@@ -36,9 +36,9 @@
     setup(
         name="torchquantum",
         version=VERSION["version"],
-        description="A PyTorch-based framework for differentiable classical simulation of quantum computing",
+        description="Quantum Computing in PyTorch",
         url="https://github.com/mit-han-lab/torchquantum",
-        author="Hanrui Wang, Jiannan Cao, Jessica Ding, Jiai Gu, Song Han, Zirui Li, Zhiding Liang, Pengyu Liu, Mohammadreza Tavasoli",
+        author="Shreya Chaudhary, Zhuoyang Ye, Jiannan Cao, Jessica Ding, Jiai Gu, Song Han, Zirui Li, Zhiding Liang, Pengyu Liu, Mohammadreza Tavasoli, Hanrui Wang",
         author_email="hanruiwang.hw@gmail.com",
         license="MIT",
         install_requires=requirements,

torchquantum/__version__.py

@@ -57,4 +57,4 @@
 #         packages=find_packages(),
 #     )
 
-version = "0.1.7"
+version = "0.1.8"