Engineering post-quantum security and hybrid infrastructure.
I design PQC crypto-agility frameworks, simulate quantum-secure networks, and evaluate hybrid quantum architectures against hard engineering constraints.
My work sits at the intersection of quantum physics, cryptography, and infrastructure-facing engineering. I began with a broad fascination for cosmology and particle physics, then moved toward quantum information because it forces theory to meet implementation constraints.
I approach quantum technologies through computational physics, systems engineering, and adversarial evaluation. The protocols are elegant on paper; real deployments have to survive noise, hardware limits, integration debt, and physical attack surfaces. That is the space I work in: PQC migration, QKD resource allocation, side-channel evaluation, hybrid QML, and benchmark-gated quantum feasibility.
Selected technical work across quantum ML, secure networking, post-quantum migration, and research communication.
Hybrid SchNet + VQC framework over a 6,351-entry 2DMatPedia corpus (≈4,500 valid bandgap labels); R² ≈ 0.782, MAE = 0.439 eV (single-fold baseline) achieved after resolving target-leakage in spatial normalizers.
Protocol + Network Simulation MS ThesisMS thesis linking BB84 key negotiation under noise and eavesdropping with adaptive routing and quantum-resource allocation on a 14-node optical network.
Migration StrategyAuthored a white paper and five-phase migration roadmaps intended for federal agency deployment scenarios, contextualized within the $7.1B federal migration scope through Mosca's Theorem risk prioritization, hybrid transition design, and crypto-agility.
Power-Grid Analytics Decision FrameworkAuthored a literature-grounded white paper and decision framework for power-grid quantum adoption, mapping nine algorithm families to grid workloads and screening them against QRAM, noise, and hybrid-workflow constraints.
Evaluation Design Research DirectionDesigned a falsifiable framework for testing quantum-kernel key recovery against strong classical baselines, with staged datasets, key-rank benchmarks, and explicit claim gates. Retained as an independent research direction.
Quantum Readiness Strategy Delivered White PaperAuthored and delivered a power-sector readiness strategy linking a three-tier National Quantum Grid Academy to staged PQC, sensing, and benchmark-gated hybrid-computing adoption.
Editorial & VerificationEvidence-first research communications for Quantum Buzzz, combining editorial review, citation forensics, and hype reduction before publication.
Many-Body Physics Graduate ResearcherC++ sparse Hamiltonian solvers and custom partial-trace simulations tracking ground-state entanglement (Wootters concurrence) near the quantum critical point ($J/h = 1$) for spin chains up to N=22 spins.
I turn quantum theory, standards, and literature evidence into simulations, decision frameworks, migration roadmaps, and deployment-aware technical strategies.
Built and evaluated a two-layer thesis simulation connecting BB84 security behavior to adaptive routing and wavelength/time-slot allocation on the 14-node NSFNET topology. Compared three allocation policies through QBER, SKR, SRCR, TUR, and NSP after correcting indexing and logic defects in the analysis pipeline.
Turned post-quantum standards and deployment constraints into a confidential white paper and five-phase migration roadmaps intended for federal agency deployment scenarios, addressing the $7.1B federal migration scope through Mosca's Theorem risk prioritization, hybrid transition design, and crypto-agility.
Built and audited three hybrid quantum-classical architecture directions for bandgap prediction on a 6,351-entry 2DMatPedia-derived corpus. Diagnosed collapse-to-mean and target-leakage failure modes, then established a verified SchNet + VQC single-fold baseline of R² ≈ 0.782.
Authored a white paper and decision framework for power-grid quantum adoption, separating near-term hybrid pilots from immature approaches using hardware limits, QRAM data-loading constraints, classical baselines, and end-to-end advantage criteria.
Sole-authored and delivered a power-sector readiness strategy built around a three-tier National Quantum Grid Academy and staged Defend–Sense–Compute adoption. Defined role-specific curricula, regional delivery, workforce KPIs, benchmark-gated pilot templates, governance, risk mitigation, and funding pathways.
Qiskit and PennyLane workflows for variational circuits and VQC/QSVM prototypes, plus VQE/QAOA and Hamiltonian-simulation framing.
BB84 security simulation, QBER/SKR analysis, QKD-secured optical-network modeling, and adaptive key-resource allocation.
ML-KEM, ML-DSA, and SLH-DSA families; CBOM-style discovery, HNDL risk, crypto-agility, migration planning, and side-channel assessment.
Python, C++, SciPy, sparse methods, Lanczos diagonalization, and high-precision numerical verification for physics simulations.
PyTorch, SchNet/GNN workflows, hybrid model integration, classical baseline definition, and rigorous failure-mode diagnosis.
Mapping operational workloads to candidate quantum methods, defining pilot metrics, maturity gates, and end-to-end advantage criteria.
Git, LaTeX, reproducible Jupyter environments, structured evidence review, and verification-focused technical documentation.
Migration roadmaps, risk analyses, decision frameworks, and audience-aware research communications.
Leveraging LLMs and agentic systems to rapidly scaffold prototypes, automate data pipelines, and deploy research tooling.
Open to quantum computing research roles, PhD opportunities, technical discussions, and collaborations in PQC, QML, hybrid quantum-classical materials modeling, and infrastructure-facing quantum work.