6 papers · 1 filter
Circuit Folding: Scalable and Graph-Based Circuit Cutting via Modular Structure Exploitation
Shuwen Kan, Yanni Li, Hao Wang +2
Circuit cutting is a promising technique that leverages both quantum and classical computational resources, enabling the practical execution of large quantum circuits on noisy inte…
Differentiable Architecture Search for Adversarially Robust Quantum Computer Vision
Mohamed Afane, Quanjiang Long, Haoting Shen +4
Current quantum neural networks suffer from extreme sensitivity to both adversarial perturbations and hardware noise, creating a significant barrier to real-world deployment. Exist…
Optimizing Inter-chip Coupler Link Placement for Modular and Chiplet Quantum Systems
Zefan Du, Pedro Chumpitaz Flores, Wenqi Wei +3
Quantum computing offers unparalleled computational capabilities but faces significant challenges, including limited qubit counts, diverse hardware topologies, and dynamic noise an…
SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
Rahul Kumar, Wenqi Wei, Ying Mao +3
We propose a circuit-level attack, SQUASH, a SWAP-Based Quantum Attack to sabotage Hybrid Quantum Neural Networks (HQNNs) for classification tasks. SQUASH is executed by inserting…
Scalable Circuit Cutting and Scheduling in a Resource-constrained and Distributed Quantum System
Shuwen Kan, Zefan Du, Miguel Palma +6
Despite quantum computing's rapid development, current systems remain limited in practical applications due to their limited qubit count and quality. Various technologies, such as…
Benchmarking Optimizers for Qumode State Preparation with Variational Quantum Algorithms
Shuwen Kan, Miguel Palma, Zefan Du +5
Quantum state preparation involves preparing a target state from an initial system, a process integral to applications such as quantum machine learning and solving systems of linea…