pinaki-sen Goto Github PK

• 💽 Firmware Engineer Intern at Western Digital
• 👨‍💻 Former research Intern at Indian Statistical Institute, Kolkata
• 🌱 Learning about Machine Learning and Quantum Computing
• 🕺 Former mentee at Quantum Open Source Foundation, worked on Research Project related to Implementation of Tensor Network on Quantum Machine Learning under the guidance of Dr. Amandeep Singh Bhatia

• Variational Quantum Classifiers Through the Lens of the Hessian
• Efficient Decoding of Surface Code Syndromes for Error Correction in Quantum Computing
• Towards the Realization of Regular Clocking Based QCA Circuits Using Genetic Algorithm
• Regular Clocking-based Automated Cell Placement Technique in QCA Targeting Sequential Circuit
• Systematic Cell Placement in Quantum-dot Cellular Automata Embedding Underlying Regular Clocking Circuit

• Implemented concept of CNN using Quantum Circuit, also known as Quanvolutional Neural Net
• Created a classifier model to predict Covid19 or Viral Pneumonia from chest x-ray image

• Implemented QAOA algorithm to solve MAXCUT problem for Weighted Graphs
• Analyzed the impact on the result by increasing number of layers in Variational Ansatz

• Studying the character of loss landscape of QNN implemented on various datasets, including the analysis of Barren plateau and saddle point
• Analyzing effectiveness of gradient based optimization for Quantum Neural Net using Hessian matrix and Eigen vectors.

• Studying the effect of no. of layer repetitions in Variational Quantum Circuit on the Optimized Cost of the output StateVector.
• Implementing Gradient-free optimization technique using Pennylane

• This is a multi class classification RESNET9 model trained on a dataset containing chest x-ray of covid19, Pneumonia patient and normal person.
• Available dataset being not enough large, various data augmentation techniques has been implemented. Final model gives a validation accuracy of 87%

• Optimizing a Variational Quantum Circuit, studying the character of the optimized cost as a function of layers in the circuit
• Why only the train and test set is not enough for generalizing a ML model? Significance of Validation set
• PRAW — a python package to scrape Reddit Post data

➡️ more blog posts...

• Hierarchical Extreme Quantum Machine Learning with Tensor and Neural Networks, NISQ Era - Pinaki Sen {Channel - Full-Stack Quantum Computation}
• HackerEarth | Qiskit India Challenge Experience by Pinaki & Shubham {Channel - QuantumComputing India}

• Quantum Machine Learning, Quantum Chemistry, Quantum Algorithm, Basics of Quantum Hardwares
• Frameworks - Qiskit, Pennylane, Cirq

• Supervised Learning, Unsupervised Learning, Deep Learing, CNN, GAN
• Frameworks - Pytorch, Tensorflow, Keras, scikit-learn, OpenCV, Matplotlib, Plotly

• Python, C/C++, MATLAB/OCTAVE

• Data Structures, Object Oriented Programming