5 papers
SoK: Adversarial Robustness of the Variational Quantum Eigensolver via Red-Teaming
Ahmed Azaz Humdoon, Cheng Chu, Lei Jiang +2
The Variational Quantum Eigensolver (VQE) is a leading algorithm for estimating molecular ground-state energies on near-term quantum hardware, with applications spanning quantum ch…
Hardware Robustness of Sample-Based Quantum Diagonalization
Ahatesham Bhuiyan, Cheng Chu, Qian Lou +1
Sample-based Quantum Diagonalization (SQD) is a hybrid quantum-classical method that replaces variational optimization with a self-consistent recovery loop over QPU samples. Althou…
CutBackdoor: A Circuit Cut Triggered Backdoor Attack on Variational Quantum Algorithms
Ahatesham Bhuiyan, Hoang Ngo, Cheng Chu +4
Variational Quantum Algorithms (VQAs) are a leading paradigm for near-term quantum computing, combining parameterized quantum circuits with classical optimization across quantum ch…
BVQC: A Backdoor-style Watermarking Scheme for Variational Quantum Circuits
Cheng Chu, Lei Jiang, Fan Chen
Variational Quantum Circuits (VQCs) have emerged as a powerful quantum computing paradigm, demonstrating a scaling advantage for problems intractable for classical computation. As…
LSTM-QGAN: Scalable NISQ Generative Adversarial Network
Cheng Chu, Aishwarya Hastak, Fan Chen
Current quantum generative adversarial networks (QGANs) still struggle with practical-sized data. First, many QGANs use principal component analysis (PCA) for dimension reduction,…