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quant-ph2026

Towards Optimal Quantum Estimators for State Frame Potential

Jinge Bao, Wang Fang, Yoshifumi Nakata +1

The state frame potential is a standard diagnostic of how closely a quantum state ensemble approximates Haar randomness. In this work, we study the problem of estimating the state…

quant-ph2026

SymFT: Universal Fault-Tolerant Quantum Circuit Simulation via Symbolic Clifford--Pauli Frames and Stabilizer Coordinates

Wang Fang, Huazhe Lou, Riling Li

SymFT is a high‑throughput simulator for fault‑tolerant quantum circuits that are dominated by Clifford operations with Pauli rotations and measurements, using symbolic Clifford‑Pa…

quant-ph2026

Query-Optimal and Sample-Optimal Quantum Algorithms for Estimating Fidelity to a Pure State

Wang Fang, Qisheng Wang

We present two optimal quantum algorithms that estimate the (square root) fidelity of a mixed state to a pure state to within additive error : - Given query access to…

quant-ph2025

Approximation Methods for Simulation and Equivalence Checking of Noisy Quantum Circuits

Mingyu Huang, Ji Guan, Wang Fang +1

In the current NISQ (Noisy Intermediate-Scale Quantum) era, simulating and verifying noisy quantum circuits is crucial but faces challenges such as quantum state explosion and comp…

quant-ph2024

VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models

Yanling Lin, Ji Guan, Wang Fang +2

Adversarial noise attacks present a significant threat to quantum machine learning (QML) models, similar to their classical counterparts. This is especially true in the current Noi…

quant-ph2024

Symbolic Execution for Quantum Error Correction Programs

Wang Fang, Mingsheng Ying

We define QSE, a symbolic execution framework for quantum programs by integrating symbolic variables into quantum states and the outcomes of quantum measurements. The soundness of…