3 papers
quant-ph2026
Practical framework for simulating permutation-equivariant quantum circuits
Su Yeon Chang, Martin Larocca, M. Cerezo
Understanding which subclasses of quantum circuits are efficiently classically simulable is fundamental to delineating the boundary between classical and quantum computation. In th…
quant-ph2026
Leveraging Symmetry Merging in Pauli Propagation
Yanting Teng, Su Yeon Chang, Manuel S. Rudolph +1
We introduce a symmetry-adapted framework for simulating quantum dynamics based on Pauli propagation. When a quantum circuit possesses a symmetry, many Pauli strings evolve redunda…
quant-ph2025
A Primer on Quantum Machine Learning
Su Yeon Chang, M. Cerezo
Quantum machine learning (QML) is a computational paradigm that seeks to apply quantum-mechanical resources to solve learning problems. As such, the goal of this framework is to le…