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From the 1 of 6 linked papers with an AI index.

most citedThree ways to share a QPU: Scheduling strategies for hybrid Quantum-HPC applications

1 citations · 1 across the 3 of their papers we have counts for

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6 papers

quant-ph20261 cited

Three ways to share a QPU: Scheduling strategies for hybrid Quantum-HPC applications

Marco Cipollini, Simone Rizzo, Sergio Iserte +21

The paper investigates three scheduling approaches—time‑based multiplexing, dynamic resource management, and workflow decomposition—to efficiently allocate quantum processing units…

cs.CR2026

Portable Acceleration of Learning With Errors KEMs for Post-Quantum Cryptography

Tiziana Liberati, Nitin Shukla, Simone Rizzo +5

The transition to post-quantum cryptography (PQC) is driving demand for implementations that can meet the computational requirements of real-world applications. Among the proposed…

cs.CR2026

GPU Acceleration of Learning With Errors KEMs Using OpenACC for Post-Quantum Cryptography

Tiziana Liberati, Nitin Shukla, Matteo Barbieri +5

Shor's algorithm proved that asymmetric cryptographic protocols based on the integer factorization and discrete logarithm problems are no longer safe in a world with large-scale qu…

cs.ET2026

A Physically-Informed Subgraph Isomorphism Approach to Molecular Docking Using Quantum Annealers

Francesco Micucci, Matteo Barbieri, Gabriella Bettonte +6

Molecular docking is a crucial step in the development of new drugs as it guides the positioning of a small molecule (ligand) within the pocket of a target protein. In the literatu…

quant-ph2025

Dynamic Solutions for Hybrid Quantum-HPC Resource Allocation

Roberto Rocco, Simone Rizzo, Matteo Barbieri +16

The integration of quantum computers within classical High-Performance Computing (HPC) infrastructures is receiving increasing attention, with the former expected to serve as accel…

quant-ph2025

Assessing the Elephant in the Room in Scheduling for Current Hybrid HPC-QC Clusters

Paolo Viviani, Roberto Rocco, Matteo Barbieri +14

Quantum computing resources are among the most promising candidates for extending the computational capabilities of High-Performance Computing (HPC) systems. As a result, HPC-quant…