9 papers
REMOP: REmote-Memory-aware OPerator Optimization
Shiquan Zhang, Yunhao Mao, Yuqiu Zhang +3
Remote and disaggregated memory tiers expand the effective memory capacity of analytical database engines, but they also reshape the cost structure of out-of-memory query processin…
Towards an Optimally Distributed Quantum Fourier Transform Circuit
Zachary Vernec, Michael Silver, Hans-Arno Jacobsen
A promising avenue for scaling quantum computing is to connect quantum processing units (QPUs) by generating entanglement between them. This requires circuit partitioning: partiall…
SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System
Seyed Salar Ghazi, Kaiwen Zhang, Mehdi feizi +1
Hierarchical Federated Learning (HFL) enables scalable collaborative model training across distributed devices while preserving data privacy. However, existing HFL client selection…
Q-DICE: Quantum Distributed Interconnect Compiler and Emulator
Michael Silver, Zachary Vernec, Hans-Arno Jacobsen
As distributed quantum computing (DQC) offers a leading path towards scalable quantum computation, the ability to benchmark distributed algorithms under realistic conditions become…
Quantum Hypergraph Partitioning
Yiran Li, Y. Batuhan Yilmaz, Michael Silver +2
Hypergraph partitioning is a fundamental optimization problem with applications in data management and other domains involving higher-order relations. In this paper, we study balan…
Adversarial Robustness of Partitioned Quantum Classifiers
Pouya Kananian, Hans-Arno Jacobsen
Adversarial robustness in quantum classifiers is a critical area of study, providing insights into their performance compared to classical models and uncovering potential advantage…