Prasad Patil — Notes https://prasadpatil25.github.io/prasadpatil25/notes/ Adaptive oracles, quantum circuits, and architecture notes — from Prasad Patil, TCS Solution Architect and PhD researcher at IIIT Nagpur. en Sun, 16 Aug 2026 00:00:00 GMT 10080 Welcome to the notes https://prasadpatil25.github.io/prasadpatil25/notes/welcome-to-notes.html https://prasadpatil25.github.io/prasadpatil25/notes/welcome-to-notes.html Sun, 16 Aug 2026 00:00:00 GMT meta DOA Why a writing section on a résumé site — and what this space is for: the DOA framework, the modernization tradecraft, and the things in between. A résumé tells you what I did. These notes are for the part that doesn't fit on a résumé — the why, the wrong turns, and the long stretches of the trail.

This site has two pages doing very different jobs. The homepage is a pitch, in the best sense: here is the research, here is the work, here is the trajectory through the latent space. The architecture page is a drawing sheet — fifteen years of estates nobody wanted to touch, turned into things that ship.

Both are summaries. The notes are the rest.

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]]> What an adaptive oracle actually changes https://prasadpatil25.github.io/prasadpatil25/notes/what-adaptive-oracles-change.html https://prasadpatil25.github.io/prasadpatil25/notes/what-adaptive-oracles-change.html Mon, 10 Aug 2026 00:00:00 GMT quantum HQ-DOA A walk through the idea behind the first DOA paper: a quantum oracle that isn't fixed in advance — and what you give up and gain when it isn't. Every quantum algorithm leans on an oracle — a black box that answers one question. The DOA claim is simple to state and surprisingly deep to unpack: what if the oracle isn't fixed in advance?

DOA starts from a question that sounds almost naive: must the oracle be static? In parameter estimation — the measurement regime the paper targets — the object of interest is a continuous parameter encoded into a quantum state. A fixed oracle is built for a point in parameter space. An adaptive oracle instead holds a provisional answer and lets the measurement outcome feed back into it.

The paper — Quantum State Measurement System With Dynamic Oracle Adaptation for Enhanced Parameter Estimation in NISQ Devices, IEEE Trans. Instrumentation & Measurement, 2026 — is published.

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]]> Hybrid vs. fully coherent: the coherence budget https://prasadpatil25.github.io/prasadpatil25/notes/hybrid-vs-fully-coherent.html https://prasadpatil25.github.io/prasadpatil25/notes/hybrid-vs-fully-coherent.html Sun, 02 Aug 2026 00:00:00 GMT quantum FQ-DOA HQ-DOA trades a little coherence for flexibility; FQ-DOA keeps the oracle coherent end to end. Notes on the trade you're actually making. Both DOA architectures answer the same problem — estimating a parameter with an oracle that can learn it mid-flight. The difference is where the learning happens, and that single choice decides the cost model.

HQ-DOA runs the circuit, reads the outcome, and steers the next run classically: near-zero coherence cost inside a run, coarse-grained adaptation. FQ-DOA moves feedback inside the quantum evolution: shot-level adaptation, but every adaptation step spends coherence.

The reason to call it a budget and not a trade-off is that a budget is something you can account for — you know how much the adaptation spends, and you can choose the operating point.

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