On the QQR codes in coding theory

Series
High Dimensional Seminar
Time
Wednesday, September 4, 2019 - 3:00pm for 1 hour (actually 50 minutes)
Location
Skiles 006
Speaker
Jing Hao – Georgia Tech – jhao6@gatech.eduhttp://math.gatech.edu/people/hao-jing
Organizer
Galyna Livshyts

In this talk I will briefly talk about coding theory and introduce a specific family of codes called Quasi-quadratic residue (QQR) codes. These codes have large minimum distances, which means they have good error-correcting capabilities. The weights of their codewords are directly related to the number of points on corresponding hyperelliptic curves. I will show a heuristic model to count the number of points on hyperelliptic curves using a coin-toss model, which in turn casts light on the relation between efficiency and the error-correcting capabilities of QQR codes. I will also show an interesting phenomenon we found about the weight enumerator of QQR codes. Lastly, using the bridge between QQR codes and hyperelliptic curves again, we derive the asymptotic behavior of point distribution of a family of hyperelliptic curves using results from coding theory.