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Ashwani Kumar Sinha's Projects

aff3ct icon aff3ct

A fast simulator and a library dedicated to the channel coding.

bb84protocol icon bb84protocol

A simple implementation of BB84 protocol using the IBM quantum simulator. The whole program is done through python programming language and the QisKit given by IBM.

blockchain_for_ehr icon blockchain_for_ehr

Web based ,Patient Centric Electronic Health Record Manager using Blockchain techniques.

cascade-cpp icon cascade-cpp

C++ implementation of Cascade information reconciliation protocol for Quantum Key Distribution

demystifying-the-quantum-key-distribution-scheme-bb84-protocol icon demystifying-the-quantum-key-distribution-scheme-bb84-protocol

⚛️ 🔒 🔑 A project based in Cryptography, most specifically in Quantum Cryptography. This project was built using Python, Jupyter Notebook, and some Quantum Frameworks, such as, Qiskit (IBM Q Experience), Cirq (Google AI Quantum), PyQuil (Rigetti Computing), PennyLane (Xanadu Quantum Technologies), Q# (Microsoft Quantum Development Kit), ProjectQ (ETHZ's Quantum Open-Source Framework), Quantum Inspire (TU Delft's Quantum Platform) and QuTip. It's made a brief introduction to Quantum Computing, then explained a little of the background history of the BB84 Protocol, how it works, possible practical implementations/solutions, its security proofs, comparisons with other Classical Key Distribution schemes and demonstrated a couple of Live Demos of it.

developer-community-stats icon developer-community-stats

A repository to encourage beginners to contribute to open source and for all contributors to view their Github stats

dp-shuffle icon dp-shuffle

Practically Testing Privacy Amplification by Shuffling

gym-gazebo icon gym-gazebo

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

gym-gazebo2 icon gym-gazebo2

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

gym-pybullet-drones icon gym-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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