Himanshu Sharma
Physicist • Developer • Philosopher
I’m a third-year Physics major at IIT Kanpur driven by the ambition of building a fault-tolerant, practically useful Quantum Computer. Fascinated by the fundamental laws of the universe and computer systems, my research sits at their intersection, currently focusing on Cavity Quantum Electrodynamics and the simulation of open quantum systems for information processing.
I have an insatiable desire to understand this world, it's workings and it's purpose; and wish to acquire as much knowledge about as many things possible. Beyond physics, my intellectual curiosity frequently spills over into the Statistics, Machine Learning, Large Lanaguage Models and thier interpretabiliy.
When I’m not running quantum circuits or debugging neural networks, you’ll likely find me actively debating social issues, or exploring the philosophies of Camus and Nietzsche while sipping on a cup of cappuccino.
ψ Physics Research
Quantum Optics Simulations, Cavity-QED Research
Developed a unified framework to study light-matter interaction in confined quantum systems. Analyzed RWA breakdown in driven regimes. Compared Rabi Hamiltonian with Jaynes-Cummings model. Studied open quantum dynamics via Lindblad master equations. Constructed photonic qubit representations.
IBM Quantum Global Summer School 2025
Developed understanding of Quantum Computing Hardware, Noise, Error Correction, and Benchmarking. Engineered QEC stabilizer parity check matrices for Toric code and Gross code. Mitigated errors via Zero Noise Extrapolation. Determined ground state energy of N2 using hybrid Sample-based Quantum Diagonalization.
Micro-Ring Resonators for NV Centers
Implemented a 2D axisymmetric eigenfrequency FEM model in COMSOL with PML boundaries to compute whispering-gallery modes and quantify radiative loss. Achieved Q ≈ 1.7 × 10^5 with Purcell enhancement Fp ≈ 3.9.
Synthesis and Discovery of Electronic Phase Transitions in Te-Rich NbNi2Te2 Crystals
Synthesized layered Ni-Nb-Te single crystals using chemical vapor transport and characterized structure/transport properties. Observed bad-metallic behavior with anomalies at 275K and a resistivity minimum near 111.5K.
Variational Circuits and Quantum Machine Learning
Studied variational quantum circuits and VQE. Analyzed quantum clustering algorithms (k-means, k-median) and designed quantum pipelines for distance estimation via amplitude and angle embedding. Evaluated trade-offs for NISQ hardware feasibility.
Point Groups in 3D Crystal Structures
Presented crystallographic point groups governing anisotropy in optical, electrical, and mechanical properties. Derived IR/Raman selection rules and compared symmetry breaking in monolayer MoS2 enabling spin-valley physics.
{ } CS Projects
Geometric and Dynamical Analysis of Function Vector Representations in Transformer Models
Modeled internal transformer representations as trajectory dynamics in high-dimensional state space. Demonstrated representations lie on low-dimensional manifold, enabling long-horizon forecasting with low-rank state-space predictors, reducing compute by 22-50%. Developed orthogonal projection framework for behavioral steering.
Web Server and NFS Development
Developed a Single Threaded Web server in Rust parsing HTTP requests. Extended to multi-threaded server. Implemented a Distributed File System based on Sun Microsystems’ NFS enabling remote file access and seamless data sharing. Integrated an RPC layer for low-latency client-server communication.
Facial Reconstruction from low-quality CCTV footages
Implemented zero-reference deep curve estimation for frame-wise video light enhancement. Retrained YOLOv7 for real-time face detection and DeepSort for multi-object tracking. Applied GANs for landmark detection, frontalization, and reconstructed latent facial details using GFG-GAN restoring high-fidelity facial textures.
Attendance App for Uttar Pradesh Police
Developed cross-platform app allowing facial recognition for attendance, geolocation recording, events management. Implemented Face Detection using HOG and SVM, and Anti-Spoofing using Gesture Detection via MediaPipe. Integrated containerized models within a Flutter app using Flask and Docker.
Dynamic Agentic RAG for Financial and Legal Use Cases
Developed a robust RAG application based on dynamic retrieval strategies and multi-agent orchestration for analytics and compliance. Implemented Graph-Based Text Indexing and MCTS/Markov Chain algorithms to optimize workflows. Prototyped advanced frameworks like MetaGPT, AFlow, and Hybrid RAG.
StepsAI
Developed a production-grade, modular and autonomous Agents framework orchestrating OAuth flows for GitHub, Jira, Gmail, etc. Implemented stateful session management via Rclone and dynamic agentic workflows. Architected scalable ETL pipelines and leveraged Milvus and mem0 for advanced vector search and long-term memory.
Core Skills
Programming
- Python
- MATLAB
- C
- C++
Computational Physics
- QuTiP
- Qiskit
- COMSOL Multiphysics
- OriginPro
Machine Learning & Data
- Tensorflow
- Keras
- PyTorch
- Transformerlens
- OpenCV
Experimental Skills
- Crystal Growth
- Chemical Vapor Transport
- Scanning Electron Microscopy
- X-ray Diffraction
- Energy-Dispersive X-ray Spectroscopy
Academic Journey
Early Years: Circuits, Debate Floors & Social Work
Began tinkering with electronics and Arduinos. Chaired MUN debating conferences and led social impact initiatives for children with special needs.
Sustainable Design, Bioplastics & First Real Code
Prototyped sustainable models in Fusion 360, winning 3rd position in national ATL Marathon. Trained in tech entrepreneurship by Tech Mahindra and transitioned to Python programming.
Computational Neuroscience (AIM-SIRIUS)
Led an Indo-Russian team under the Sirius Institute, designing a web platform and data pipelines for EEG signal processing and neural connectivity.
F1 in Schools & The Quantum Spark
Served as Research Analyst and Design Engineer for Team Quantum Racing at the F1 in Schools World Finals (UK). DRDO Achievement sparked interest in Quantum Computing and QKD.
IIT Kanpur & Technical Leadership
Enrolled in Physics at IIT Kanpur, focusing on Quantum Computing, Quantum Optics, and Machine Learning. Completed IBM Quantum Challenge 2024, did programming and debating as hobbies.
Quantum Research & AI Internals
Research in Quantum Optics and Cavity QED at the Nanophotonics Group, IIT Kanpur and LLM internals at Kyoto University.
Committed to Research
Actively working across three labs - Nanophotonics (IITK), Photonic Devices (IITK), and Kyoto University's LLM Center