Here are some of the course projects I have done while in Stanford.
Implementation and analysis of stabilizer codes in pyQuil
CS 269Q: Quantum Computer Programming
Stabilizer codes form a large family of quantum error correcting codes that includes well-known codes such as Shor code, Steane code, CSS codes and toric codes. In this work, we build a framework for encoding and decoding of general stabilizer codes on pyQuil and test specific single qubit codes with standard quantum noise models.
Codes for DNA storage
EE 388: Modern Coding Theory
- Studied the trade-off between coding density and reading efficiency for DNA storage.
- Proposed practical error-correction schemes based on RaptorQ codes, BCH codes and LDPC codes.
- Proposed schemes for constrained coding using Fibonacci codes.
- Achieved close-to-optimal results for a range of error rates.
Understanding the Amazon Rainforest from Space using CNNs
CS 231N: Convolutional Neural Networks for Visual Recognition
- Participated in Kaggle contest “Understanding the Amazon from Space” by Planet Labs.
- Tested various architectures for multi-class, multi-label prediction of weather and land-use features based on satellite images of the Amazon rainforest.
- Received Bronze medal from Kaggle for getting leaderboard rank of 67 among 938 teams.