// 00 APPLIED QUANTUM ENGINEER • PHYSICIST

SHIVANSH MALVIYA

Where quantum information science becomes production architecture.

BS-MS Dual Degree in Physics from IISER Pune. I specialize in quantum cryptography and QML. Currently consulting at Third Ray Inc. / Ina Solutions Inc., mapping out post-quantum cryptography migration for federal agencies and researching 2D materials. Zero-trust protocol applies.

VIEW ARTIFACTS → GITHUB REPO
05+ ACTIVE QUANTUM PROJECTS
7.8 MS THESIS GRADE (IIT INDORE)
14 NODE QKD SIMULATIONS
6.3k MATERIALS ANALYZED (Q2DM)
PQC Migration for U.S. Federal Agencies • Q2DM Bandgap Prediction R² ≈ 0.78 • Grid-Q Whitepapers Delivered to ORNL • QKD Resource Allocation Thesis • 1st Place Womanium Global STEM • Qiskit & PennyLane Certified • PQC Migration for U.S. Federal Agencies • Q2DM Bandgap Prediction R² ≈ 0.78 • Grid-Q Whitepapers Delivered to ORNL • QKD Resource Allocation Thesis • 1st Place Womanium Global STEM • Qiskit & PennyLane Certified
// 01   THE ARCHITECTURE OF WORK

Bridging theoretical physics and applied engineering.

My foundation lies in rigorous physics. With an MS thesis supervised by Prof. Vimal Bhatia (IIT Indore) and Prof. M.S. Santhanam (IISER Pune), I modeled resource allocation in QKD-secured Optical Data Center Networks. I built hybrid quantum-classical channel multiplexing and evaluated network resilience under eavesdropping scenarios.

Today, I operate at the intersection of cryptography, materials science, and optimization. Whether I'm building post-quantum migration roadmaps for massive federal databases or predicting material bandgaps via QML, I rely on a zero-trust governance protocol: every metric traces to a source artifact.

// 02   RESEARCH & FOCUS AREAS

The computational frontiers.

DOMAIN 01

Quantum Cryptography & PQC

Designing 10-year, 5-phase migration strategies (RSA-3072 ∥ ML-KEM-768) compliant with NIST SP 800-131A. Assessing physical operational security margins via QSVM side-channel analysis.

DOMAIN 02

Quantum Machine Learning

Developing hybrid architectures (Amplitude VQC, SchNet GNN) to predict properties across 6,351 materials. Conducted MLOps audits exposing target-leakage in spatial normalizers.

DOMAIN 03

Grid Optimization (Grid-Q)

Evaluating quantum algorithms (QAOA, VQLS, HHL) for power grid domains: unit commitment, economic dispatch, and fault detection. Authored whitepapers for ORNL.

// 03   EXPERIENCE

Professional trajectory.

JUN 2025 - PRESENT · THIRD RAY / INA SOLUTIONS

Applied Quantum Engineer

Developing technical roadmaps, conducting quantum simulations, and translating research findings for U.S. government agencies (CBP, USCIS) and Oak Ridge National Lab. Handling high-volume sensitive data with multi-decade retention rules.

JAN 2024 - NOV 2024 · IIT INDORE

MS Thesis Researcher

Constructed NSFNET simulations modeling fiber-optic channel losses. Deployed BB84 protocol, implemented error correction via modified Hamming codes, and evaluated resilience under node-failure. Grade: 7.8.

SUMMER 2023 · HARISHCHANDRA RESEARCH INSTITUTE

Research Intern

Explored the transverse-field Ising model for a 1-D spin chain. Developed C++ Lanczos algorithm to detect quantum phase transitions through entanglement (concurrence) scaling behavior.

// 04   APPLIED PROJECTS

Artifacts and systems.

VERIFIED
PRJ-01 PQC MIGRATION

Federal Cryptography Roadmap

Authored a comprehensive 10-year migration strategy for CBP and USCIS processing biometric records. Built CBOM methodology and applied Mosca's Theorem for risk prioritization.

PRJ-02 MATERIALS SCI

Q2DM Bandgap Prediction

Evolved 3 hybrid architectures to predict properties of 2DMatPedia materials. Remedied a "collapse-to-mean" failure mode by exposing spatial normalizer leakage. Final model R² ≈ 0.78.

PRJ-03 ORNL WHITE-PAPER

Grid-Q & Workforce Dev

Authored national-scale quantum workforce policy framework proposing a tiered National Quantum Grid Academy. Delivered algorithmic benchmarks to U.S. utility executives.

PRJ-04 INDUSTRY QML

Conspicuity Detection

Implemented VQCs (Classiq, PennyLane) for aluminum weld defect classification during the Womanium Global Quantum program. Benchmarked hybrid methods against classical CNNs.

PRJ-05 PERSONAL COMPUTE

Planck Incomplete Integral

Reproducible mathematical solver for incomplete Planck integrals P(x) and Q(x) engineered to compute to 25+ decimal digits of precision.

PRJ-06 FINANCE ENGINE

Quant Wealth Model

Quantitative wealth modeling engine accounting for Indian tax slabs, MVO (Mean-Variance Optimization), and Monte Carlo simulations.

// 05   MANIFESTO

The governance of my work.

01

Zero-Trust Protocol.

Every metric, grade, and claim must trace back to a verifiable source artifact. Documentation is not an afterthought; it is the foundation of scientific integrity.

02

Hybrid Realism.

Quantum algorithms don't exist in a vacuum. Bridging them with classical architectures (like CNNs, GNNs) is the only path to near-term, functional utility in production environments.

03

Rigor Without Ritual.

Measure twice, ablate honestly, and reject benchmarks that obscure failure modes. (Case in point: finding the systemic collapse-to-mean in Q2DM that MSE alone ignored).

04

Continuous Computation.

From exact diagonalization of 1-D spin chains to writing comprehensive migration codebases, the stack matters. Python, Qiskit, C++, and DFT are tools to carve out reality.