Merge pull request #280 from not-lain/improvements

Improvements

README.md

@@ -1,5 +1,5 @@
 <p align="center">
-<img src="torchquantum_logo.jpg" alt="torchquantum Logo" width="450">
+<img src="https://github.com/mit-han-lab/torchquantum/blob/main/torchquantum_logo.jpg?raw=true" alt="torchquantum Logo" width="450">
 </p>
 
 <h2><p align="center">Quantum Computing in PyTorch</p></h2>

examples/ICCAD22_tutorial/README.md

@@ -1,6 +1,6 @@
 # ICCAD 2022 Tutorial [[slides]](./iccad_tutorial.pdf)
-## Section 1: TorchQuantum Basic Usage: [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mit-han-lab/torchquantum/blob/master/ICCAD22_tutorial/sec1_basic.ipynb)
+## Section 1: TorchQuantum Basic Usage: [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mit-han-lab/torchquantum/blob/master/examples/ICCAD22_tutorial/sec1_basic.ipynb)
 
-## Section 2: Use TorchQuantum on Pulse Level Optimizations: [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mit-han-lab/torchquantum/blob/master/ICCAD22_tutorial/sec2_pulse.ipynb)
+## Section 2: Use TorchQuantum on Pulse Level Optimizations: [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mit-han-lab/torchquantum/blob/master/examples/ICCAD22_tutorial/sec2_pulse.ipynb)
 
-## Section 3: Use TorchQuantum on Gate Level Optimizations: [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mit-han-lab/torchquantum/blob/master/ICCAD22_tutorial/sec3_gate.ipynb)
+## Section 3: Use TorchQuantum on Gate Level Optimizations: [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mit-han-lab/torchquantum/blob/master/examples/ICCAD22_tutorial/sec3_gate.ipynb)

setup.py

@@ -37,6 +37,7 @@
         name="torchquantum",
         version=VERSION["version"],
         description="Quantum Computing in PyTorch",
+        long_description=open("README.md").read(),
         url="https://github.com/mit-han-lab/torchquantum",
         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="[email protected]",