Merge pull request #311 from schrodinteq/main

Fix typo in README.md

Author: zkysfls

README.md

@@ -55,7 +55,7 @@ Simulate quantum computations on classical hardware using PyTorch. It supports s
 Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, quantum neural networks.
 #### Differences from Qiskit/Pennylane
 
-Dynamic computation graph, automatic gradient computation, fast GPU support, batch model tersorized processing.
+Dynamic computation graph, automatic gradient computation, fast GPU support, batch model tensorized processing.
 
 ## News
 - Torchquantum is used in the winning team for ACM Quantum Computing for Drug Discovery Challenge.