aiqbench analysis
PaQit introduces a hardware-grounded framework specifically designed to optimize the trade-off between energy consumption, runtime, and computational fidelity in neutral-atom quantum systems. By integrating Rydberg interaction physics with scheduling algorithms, this approach enables more efficient qubit packing that maximizes parallelism while managing crosstalk constraints on platforms like QuEra's Aquila and Gemini. This work addresses a critical gap in practical resource management for scalable quantum architectures, moving beyond theoretical energy benefits to actionable system-level optimization strategies.
PaQit: Energy-Runtime-Fidelity Co-Optimization for Neutral Atom Quantum Computers
arXiv:2608.02815v1 Announce Type: new Abstract: Neutral-atom quantum computers provide a scalable platform for large-scale quantum computation due to their all-optical control, room-temperature operation, and flexible lattice geometry. Although the favorable energy characteristics of these systems are well recognized, the relationship between system-level energy consumption, runtime, and computational fidelity remains poorly understood, limiting practical scheduling decisions. In this work, we develop a hardware-grounded analytical model that captures how energy and runtime scale with qubit utilization in neutral-atom systems. We introduce PaQit, a fidelity-aware qubit packing framework that integrates device-level Rydberg interaction physics with system-level scheduling to jointly optimize energy, runtime, and fidelity. By translating fidelity targets into packing decisions, PaQit identifies operating regimes that maximize parallelism while respecting interaction-driven crosstalk constraints. We validate the analytical framework using simulations of QuEra's analog Aquila system and digital Gemini system, as well as real hardware executions, demonstrating close agreement between the predicted trends and observed system behavior.
Abstract:Neutral-atom quantum computers provide a scalable platform for large-scale quantum computation due to their all-optical control, room-temperature operation, and flexible lattice geometry. Although the favorable energy characteristics of these systems are well recognized, the relationship between system-level energy consumption, runtime, and computational fidelity remains poorly understood, limiting practical scheduling decisions. In this work, we develop a hardware-grounded analytical model that captures how energy and runtime scale with qubit utilization in neutral-atom systems. We introduce PaQit, a fidelity-aware qubit packing framework that integrates device-level Rydberg interaction physics with system-level scheduling to jointly optimize energy, runtime, and fidelity. By translating fidelity targets into packing decisions, PaQit identifies operating regimes that maximize parallelism while respecting interaction-driven crosstalk constraints. We validate the analytical framework using simulations of QuEra's analog Aquila system and digital Gemini system, as well as real hardware executions, demonstrating close agreement between the predicted trends and observed system behavior.
arXiv:2608.02815 [quant-ph]
(or arXiv:2608.02815v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2608.02815 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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