Quantum software engineer building tools for post-quantum cryptography, error correction, and quantum simulation.
Interactive toolkit for quantum low-density parity-check codes with real-time circuit construction, belief propagation decoding, syndrome extraction, and Qiskit integration.
- Focus: Fault-tolerant quantum error correction, LDPC simulation, circuit visualization
Modular framework for post-quantum blockchain consensus with topologically protected cryptographic proofs, enabling resilient verification under adversarial conditions.
- Focus: Post-quantum cryptography, consensus protocols, topological data analysis
Quantum-blockchain protocol for verifiable random number generation via Hadamard-circuit measurements, settled on-chain by majority vote.
- Focus: Quantum cryptography, verifiable randomness, distributed consensus
Pip-installable Python toolkit for topological quantum neural networks, built for noise-resilient classification via TQFT amplitudes. Features strict CI/CD pipelines, 20+ automated tests, and interactive GUIs for real-time tensor network simulation.
- Focus: Tensor network simulation, physics-informed machine learning, quantum neural networks
Grover search and variational circuits for 4-qubit EEG pattern classification on synthetic data. Implements high-dimensional similarity metrics and parameterized quantum circuits for nearest-neighbor retrieval in biological time-series data.
- Focus: EEG signal processing, neural search, high-dimensional vector databases
Variational quantum eigensolver for computational chemistry and molecular R&D. Computes ground state energies over H₂ dissociation landscapes using Jordan-Wigner mapping and classical optimization loops.
- Focus: Computational chemistry, molecular energy landscapes, Hamiltonian simulation
