collaborators

7 papers

cs.LO2026

Statistical Symmetry Release for Equivariant Quantum Learning

Zeyu Chen

Hard symmetry constraints reduce model complexity, but can also erase label information. Statistical symmetry release determines when finite data and quantum measurements justify r…

cs.FL2026

Behavioral Memory under Symmetry in One-Way Quantum Automata

Zeyu Chen

Under compact symmetry, observable behavior reduces to an invariant operator algebra, but its dimension is not yet classical memory: some coordinates are dynamically frozen, some i…

quant-ph2026

On the Simulation Cost of Quantum Finite Automata

Zeyu Chen, Junde Wu

This paper identifies exact probabilistic simulation cost as the natural quantitative measure of quantum advantage for finite automata under strict cutpoints. It gives sharp simula…

cs.FL2026

Exact Separation of Words via Trace Geometry

Zeyu Chen, Junde Wu

A basic question in the study of measure-once quantum finite automata is whether two distinct input words can be separated with certainty. The exact separation problem reduces to a…

cs.FL2026

The State Cost of Classical Simulation of One-Way General Quantum Finite Automata

Zeyu Chen, Junde Wu

Under strict cutpoints, probabilistic finite automata (PFAs) and one-way general quantum finite automata (1gQFAs) recognize the same stochastic languages, shifting the theoretical…

cs.FL2025

Rational-Valued Affine Verifiers in Arthur--Merlin Proof Systems

Zeyu Chen, Junde Wu

Affine automata provide a finite-state computational model that preserves the linear-algebraic structure of quantum computation while operating entirely over the reals. Recent work…