Added all files

Author: born-2learn

README.md

@@ -8,7 +8,7 @@ The blog post for the same can be found [here](https://born-2learn.github.io/pos
 
 ## Project Description
 
-Classical neural networks encode higher dimensional vectors(inputs) to lower dimensional vectors(outputs), but the reverse is not possible. Recent research has shown that scrambling of information form a small subsystem to a larger one is feasible. In our QOSF project, we analyse the effect of entanglement as a variational circuit trains and also study the role of various entropies to characterize entanglement.
+Classical neural networks encode higher dimensional vectors(inputs) to lower dimensional vectors(outputs), but the reverse is not possible. Recent research has shown us that scrambling of information from a small subsystem to a larger one is feasible. In our QOSF project, we analyse the effect of entanglement as a variational circuit trains and also study the role of various entropies to characterize entanglement.
 
 ## Running the notebooks