I am a PhD student at the Ruhr University Bochum, supervised by Prof. Michael Walter. I am broadly interested in Quantum Algorithms, Theorem Proving, Programming Languages, Type Theory, and Compilers.
I am actively looking for industry jobs (starting Feb 2026), focussed on one or more of: quantum software, functional programming, and compilers. See my latest resume here. If you know any opportunity, please reach out to me!
I primarily explore programming language abstractions for quantum algorithms. I usually attempt to think about
Previously, I was an intern under Prof. Tobias Grosser at the University of Edinburgh, where I worked on compilers for quantum. I was also a research assistant with Prof. Shantanav Chakraborty at IIIT-H, working on quantum algorithms for linear regression problems. I am an ICPC 2020 world finalist, and was a grandmaster on codeforces.
QbC: Quantum Correctness by Construction.
Anurudh Peduri, Ina Schaefer, Michael Walter.
OOPSLA 2025. [Talk at PlanQC 2024] [arXiv:2307.15641]
Quantum Regularized Least Squares.
Shantanav Chakraborty, Aditya Morolia, Anurudh Peduri.
Quantum 2023. [arXiv:2206.13143]
QSSA: An SSA-Based IR for Quantum Computing.
Anurudh Peduri, Siddharth Bhat, Tobias Grosser.
Compiler Construction (CC) 2022. [arXiv:2109.02409] [github] [artifact]
Traq: Estimating Quantum Cost of Classical Programs.
Anurudh Peduri, Gilles Barthe, Michael Walter.
Preprint. [github].
Expressing and Analyzing Quantum Algorithms with Qualtran.
Matthew P. Harrigan, Tanuj Khattar, Charles Yuan, Anurudh Peduri, Noureldin Yosri, Fionn D. Malone, Ryan Babbush, Nicholas C. Rubin.
Poster at PlanQC 2025. [arXiv:2409.04643] [github]
traq: A haskell prototype for the Traq framework, to compute quantum cost estimates of classical programs, and compile them to low-level classical-quantum programs. [github].
qubrabench: A framework to estimate quantum speedups on fault-tolerant computers. [github]
Qᴜᴀʟᴛʀᴀɴ (Contributor): A python library for expressing and analyzing Fault Tolerant Quantum algorithms, by Google Quantum AI. [github]
Reviewer: OOPSLA 2025, STOC 2025, QIP 2024, ICALP 2023, iFM 2023, QIP 2023
I intermittently write up my thoughts in my blog. If you are interested in my work, or would like to casually chat about research or CP or one of my other interests, set up a call here! My wife is an ML engineer at Bloomberg AI.