Mohsen Heidari

Engineering · Indiana University

Wireless Communication Security Techniques Cooperative Communication and Network Coding Quantum Computing Algorithms and Architecture Machine Learning and Algorithms Quantum Information and Cryptography

Publications

Citations

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2009

Research summary

AI-generated

Mohsen Heidari conducts research at the intersection of quantum computing, machine learning, and information theory. Much of the recent work focuses on algorithms for quantum optimization, learning properties of quantum systems, and the theoretical limits of quantum measurement and communication. Earlier and related work touches on classical topics like information theory for communication channels and network analysis.

Quantum computing algorithms and optimizationQuantum learning theory and sample complexityMachine learning theory (PAC learning, regret bounds)Information theory and communication channelsNetwork diffusion and analysis

Publication activity has remained fairly steady over the past several years, averaging about six papers annually with a peak around 2021–2022.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 6.2/year recently

Recent publications

Accelerating Feedback-based Algorithms for Quantum Optimization Using Gradient Descent
Open MIND · 2026
Accelerating Feedback-based Algorithms for Quantum Optimization Using Gradient Descent
arXiv (Cornell University) · 2026
Query Learning Nearly Pauli Sparse Unitaries in Diamond Distance
arXiv (Cornell University) · 2026
Query Learning Nearly Pauli Sparse Unitaries in Diamond Distance
arXiv (Cornell University) · 2026
Quantum natural stochastic pairwise coordinate descent
npj Quantum Information · 2025
Improving Cloud Security with Intrusion Detection based on Classifier Combination
Research Square · 2025
Improved Classical Shadow Tomography Using Quantum Computation
arXiv (Cornell University) · 2025
Improved Classical Shadow Tomography Using Quantum Computation
2025
New Bounds on Quantum Sample Complexity of Measurement Classes
2024
On the Reliability Function of Discrete Memoryless Multiple-Access Channel With Feedback
IEEE Transactions on Information Theory · 2024
Efficient Gradient Estimation for Parameterized Quantum Systems with Lie Algebraic Symmetries
arXiv (Cornell University) · 2024
New Bounds on Quantum Sample Complexity of Measurement Classes
arXiv (Cornell University) · 2024
On Non-Interactive Source Simulation via Fourier Transform
2023
Mathematical Modeling of Eicosanoid Metabolism in Macrophage Cells: Cybernetic Framework Combined with Novel Information-Theoretic Approaches
Processes · 2023
Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression
arXiv (Cornell University) · 2023

Publishes in

arXiv (Cornell University)×30
IEEE Transactions on Information Theory×7
2022 IEEE International Symposium on Information Theory (ISIT)×2
npj Quantum Information×1
Proceedings of the AAAI Conference on Artificial Intelligence×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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