collaborators

6 papers

quant-ph2026

MLMC-qDRIFT: Multilevel Variance Reduction for Randomized Quantum Hamiltonian Simulation

Pegah Mohammadipour, Xiantao Li

Simulating quantum dynamics is one of the central applications of quantum computing. For Hamiltonians written as a sum of many terms, deterministic Trotter--Suzuki product formulas…

quant-ph2026

Reducing Circuit Depth in Lindblad Simulation via Step-Size Extrapolation

Pegah Mohammadipour, Xiantao Li

We study algorithmic error mitigation via Richardson-style extrapolation for quantum simulations of open quantum systems modelled by the Lindblad equation. Focusing on two specific…

quant-ph2025

Direct Analysis of Zero-Noise Extrapolation: Polynomial Methods, Error Bounds, and Simultaneous Physical-Algorithmic Error Mitigation

Pegah Mohammadipour, Xiantao Li

Zero-noise extrapolation (ZNE) is a widely used quantum error mitigation technique that artificially amplifies circuit noise and then extrapolates the results to the noise-free cir…

cs.AI2025

CombiGraph-Vis: A Curated Multimodal Olympiad Benchmark for Discrete Mathematical Reasoning

Hamed Mahdavi, Pouria Mahdavinia, Alireza Farhadi +7

State-of-the-art (SOTA) LLMs have progressed from struggling on proof-based Olympiad problems to solving most of the IMO 2025 problems, with leading systems reportedly handling 5 o…

cs.AI2025

RefGrader: Automated Grading of Mathematical Competition Proofs using Agentic Workflows

Hamed Mahdavi, Pouria Mahdavinia, Samira Malek +7

State-of-the-art (SOTA) LLMs have progressed from struggling on proof-based Olympiad problems to solving most of the IMO 2025 problems, with leading systems reportedly handling 5 o…

cs.AI2025

Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics

Hamed Mahdavi, Alireza Hashemi, Majid Daliri +6

Recent advances in large language models (LLMs) have shown impressive progress in mathematical reasoning tasks. However, current evaluation benchmarks predominantly focus on the ac…