IEEE Transactions on Instrumentation & Measurement · 2026
Hybrid Quantum DOA Framework
P. Patil · J. Tembhurne · S. J. Choudhury
First quantum-computing publication from IIIT Nagpur
Solution Architect × Quantum-ML Researcher
Prasad Patil — Solution Architect (Cloud · AI · Microservices) at TCS and PhD researcher at IIIT Nagpur, building the Dynamic Oracle Adaptation framework where quantum computing meets machine learning.
15+ yrs architecture · 2 patents · IEEE-published · Azure Solutions Architect Expert
I build systems that have to work — and lately, systems nobody has built before.
α|0⟩ + β|1⟩ — evolving
Adaptive oracles begin here: a state that hasn't decided. Press Measure and the superposition collapses to one outcome, weighted by the amplitudes at that instant. Re-cohere, and the wave returns.
For fifteen years at Tata Consultancy Services and TRDDC I've turned legacy enterprise estates into cloud-native architectures: COBOL and mainframe workloads migrated to Java and .NET microservices, compliance turned into a service, and GenAI put to work reading and rewriting code it was never trained to understand. Two granted patents came out of that work.
Somewhere along the way the questions stopped being about migration and started being about computation itself. As a PhD scholar at IIIT Nagpur I work where quantum computing and machine learning intersect: the DOA framework — Dynamic Oracle Adaptation — methods that let a quantum oracle adapt instead of staying fixed. The first of these became the first quantum-computing paper published from IIIT Nagpur.
Production code on weekdays, quantum circuits on weekends. I like it that way.
Toolbox — Java · Spring Boot · Microservices & DDD · Azure (AZ-305, AZ-104) · Python · JavaScript · Qiskit · GenAI / LLM fine-tuning
Every career is a trajectory through some latent space. Here's mine, plotted on the two axes that matter: classical → quantum and building → learning. Hover any point. The bottom-right quadrant is where this is all headed.
What if a quantum oracle didn't have to be fixed in advance? Instead of hard-coding the black box an algorithm queries, DOA methods let it adapt to the problem — trading a little coherence for a lot of flexibility.
HQ-DOA hybrid · FQ-DOA fully coherent · QDOA morphological
IEEE Transactions on Instrumentation & Measurement · 2026
P. Patil · J. Tembhurne · S. J. Choudhury
First quantum-computing publication from IIIT Nagpur
IEEE Transactions on Emerging Topics in Computing · 2026
P. Patil · J. Tembhurne · S. J. Choudhury
One state is secretly marked. Each query, the oracle flips its phase and diffusion amplifies it — watch probability concentrate in ~√N queries, then Measure. That's the textbook fixed oracle; DOA asks what changes when the oracle itself can adapt.
TCS · MBU Apps Infra Engineering — AI.Cloud Unit, Nagpur
Leading Azure cloud-migration lifecycle tooling and large-scale modernization. Architected GenAI-driven COBOL→Java migration with contextual understanding of legacy systems; modular microservices via Domain-Driven Design.
TCS · ISN Corporate Unit, Pune
Core contributor to Intelligent Services Networks — Spring Boot microservices and Azure integration; product architect for automating the software-delivery lifecycle.
TRDDC · Ignio / Digitate Unit, Pune
Owned Compliance-as-a-Service end to end, research to product delivery — compliance engines and integrations across enterprise infrastructure.
TRDDC · eTransform Unit, Pune
Java modules for data-center migration and transformation estimation — multi-threading, design patterns, performance-sensitive workloads.
Zero-runtime-dependency, MIT-licensed vanilla-JS mind-mapping app. Self-hostable in one command; real-time collaboration on Cloudflare Workers & Durable Objects with GitHub OAuth and JWT role-based access.
Model Context Protocol server for MindSpark — lets AI assistants turn a natural-language topic into a structured, shareable mind map.
Research collaboration, quantum-computing conversations, and architecture problems worth solving.