Post-cut metadata from quantum circuit fragments enables high-accuracy inference of algorithm family, cut mechanism, and Hamiltonian structure via machine learning on fragment width, depth, and gate counts.
Circuit knitting with classical communication,
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
citation-role summary
background 2
citation-polarity summary
years
2026 5roles
background 2polarities
background 2representative citing papers
InterQ presents a communication-aware scheduler for modular QPUs that jointly optimizes placement, parallel execution, adaptive circuit cutting, and link-specific coordination for superconducting, trapped-ion, and neutral-atom systems.
DQR enables efficient scheduling and failover for cut quantum circuit fragments across local QPUs and remote simulators on real HPC hardware with low coordination overhead.
QuMod is a multi-programmable scheduler for modular QPUs that jointly optimizes qubit mapping, parallel circuit execution, measurement synchronization, and inter-QPU teleportation via dynamic circuits.
The authors present Pilot-Quantum, a middleware for adaptive resource management in hybrid quantum-HPC systems, along with execution motifs and a performance modeling toolkit called Q-Dreamer.
citing papers explorer
-
Post-Cut Metadata Inference Attacks on Quantum Circuit Cutting Pipelines
Post-cut metadata from quantum circuit fragments enables high-accuracy inference of algorithm family, cut mechanism, and Hamiltonian structure via machine learning on fragment width, depth, and gate counts.
-
InterQ: Communication-Aware Scheduling Across Modular QPUs with Classical and Quantum Links
InterQ presents a communication-aware scheduler for modular QPUs that jointly optimizes placement, parallel execution, adaptive circuit cutting, and link-specific coordination for superconducting, trapped-ion, and neutral-atom systems.
-
Wave-Based Dispatch for Circuit Cutting in Hybrid HPC--Quantum Systems
DQR enables efficient scheduling and failover for cut quantum circuit fragments across local QPUs and remote simulators on real HPC hardware with low coordination overhead.
-
QuMod: Parallel Quantum Job Scheduling on Modular QPUs using Circuit Cutting
QuMod is a multi-programmable scheduler for modular QPUs that jointly optimizes qubit mapping, parallel circuit execution, measurement synchronization, and inter-QPU teleportation via dynamic circuits.
-
Hybrid Quantum-HPC Middleware Systems for Adaptive Resource, Workload and Task Management
The authors present Pilot-Quantum, a middleware for adaptive resource management in hybrid quantum-HPC systems, along with execution motifs and a performance modeling toolkit called Q-Dreamer.