// 00 APPLIED QUANTUM ENGINEER • PHYSICIST

SHIVANSH MALVIYA

Where quantum information science becomes production architecture.

Holding a BS-MS Dual Degree in Physics from IISER Pune, I specialize in bridging theoretical quantum mechanics with production-grade architecture. Currently consulting at Third Ray Inc. and Ina Solutions Inc., architecting post-quantum cryptography migrations for large-scale secure networks and advancing 2D materials research via Quantum Machine Learning.

VIEW PROJECTS → GITHUB REPO

05+ ACTIVE QUANTUM PROJECTS

14 NODE QKD SIMULATIONS

99.1 CAT '23 PERCENTILE

6.3k MATERIALS ANALYZED (Q2DM)

// 01 THE ARCHITECTURE OF WORK

Bridging theoretical physics and applied engineering.

My foundation is built on rigorous physics and continuous computation. During my MS thesis, supervised by Prof. Vimal Bhatia (IIT Indore) and Prof. M.S. Santhanam (IISER Pune), I engineered resource allocation models for QKD-secured Optical Data Center Networks. By building hybrid quantum-classical channel multiplexing, I evaluated critical network resilience against advanced eavesdropping scenarios.

Today, I operate at the intersection of cryptography, materials science, and optimization. Whether I am architecting post-quantum migration roadmaps for massive federal databases or predicting material bandgaps via QML, I rely on a strict zero-trust governance protocol: every metric traces directly to a verifiable 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 critical MLOps audits exposing target-leakage in spatial normalizers.

DOMAIN 03

Grid Optimization Strategies

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

// 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 high-security enterprise clients and national research laboratories. Engineering solutions for high-volume, sensitive data governed by multi-decade retention requirements.

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. Achieved a combined project grade of 7.8.

SUMMER 2023 · HARISHCHANDRA RESEARCH INSTITUTE

Research Intern

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

// 04 APPLIED PROJECTS

Systems and deployments.

LIVE

PRJ-01 PQC MIGRATION

Enterprise Cryptography Roadmap

Authored a comprehensive 10-year migration strategy for systems processing high-volume sensitive biometric and demographic 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 POLICY WHITE-PAPER

Quantum Grid & Workforce Dev

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

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 a 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

Engineered a reproducible mathematical solver for incomplete Planck integrals P(x) and Q(x), computing outcomes to 25+ decimal digits of precision.

PRJ-06 FINANCE ENGINE

Quant Wealth Model

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

// 05 MANIFESTO

The governance of my work.

Radical Transparency.

I believe in building with complete transparency. Reproducible code and clear documentation are not afterthoughts; they form the absolute foundation of my engineering process.

Hybrid Realism.

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

Rigor Without Ritual.

Measure twice, ablate honestly, and reject benchmarks that obscure failure modes. A rigorous approach exposed the systemic collapse-to-mean in Q2DM that MSE alone ignored.

Continuous Computation.

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