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anandk3012/README.md

Anand

Quantum Computing • Physics • Machine Learning • Cryptography

Research Interests

  • Quantum algorithms (Grover variants, VQA, QAOA, pattern-based optimization)
  • Quantum machine Learning, Quantum Error Coerrection
  • Variational methods (CVaR objectives, local search, NFT)
  • Retrieval-Augmented Generation & Multi agentic workflows

Tools & Environment

Quantum: Qiskit • PennyLane
ML: PyTorch • NumPy • SciPy • scikit-learn
Scientific: MATLAB • Julia Systems: Linux • Docker • SLURM • Git
Dev: React • Flask • Tailwind • Streamlit

GitHub Metrics

Selected Themes of Inquiry

“In the limit of computation, the boundary between physics and information dissolves.”

Quantum complexity • Variational landscapes • Error-correcting structures
Statistical inference • Cryptographic hardness • Optimization under noise

Contact

GitHub: https://github.com/anandk3012
LinkedIn: https://www.linkedin.com/in/anandkasyup/
Email: anandkash99@gmail.com

“Nullius in verba.” — Take nobody’s word for it.

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