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This research addresses a critical bottleneck in quantum software ecosystems by proposing redesigned device models that support the dynamic qubit rearrangement inherent to neutral atom architectures. By updating frameworks like Qiskit and Cirq, this work enables seamless integration of non-superconducting hardware into universal platforms, significantly improving compilation fidelity for complex circuits. The study effectively removes a "technology lock" that previously hindered the practical deployment of emerging quantum computing modalities alongside established superconducting systems.
Enabling Neutral Atom Integration: Redesigning Device Models for Universal Quantum Ecosystems
arXiv:2607.20616v1 Announce Type: new Abstract: Quantum computing is transitioning from an academic idea to a practical technology, driven by recent hardware advancements and clear paths toward real-world applications. Universal quantum ecosystems (e.g., Qiskit, Cirq, PennyLane) facilitate this transition by providing a consistent interface to diverse quantum devices, abstracting hardware-specific details through a device model that captures each device's computational capabilities. However, these device models have historically been shaped by superconducting hardware, assuming static qubit positions and fixed coupling maps. This prevents them from representing the unique computational capabilities of emerging technologies such as neutral atoms, which feature dynamic qubit rearrangement and zoned operations. As a result, although numerous specialized compilers for neutral atom devices already exist, they cannot retrieve the hardware information they need through these ecosystems - creating a technology lock that hinders or even prevents the integration of neutral atom devices. In this work, we demonstrate how this limitation leads to suboptimal compilation results and can exclude certain devices entirely. Motivated by this, we propose rethinking current device models to faithfully represent neutral atom devices, enabling their seamless integration into universal quantum ecosystems. Evaluations conducted within the Quantum Device Management Interface (QDMI) demonstrate that the proposed device model unlocks a routing overhead fidelity improvement by a factor of up to 100,000 on a circuit with 16 qubits and 600 gates.
Abstract:Quantum computing is transitioning from an academic idea to a practical technology, driven by recent hardware advancements and clear paths toward real-world applications. Universal quantum ecosystems (e.g., Qiskit, Cirq, PennyLane) facilitate this transition by providing a consistent interface to diverse quantum devices, abstracting hardware-specific details through a device model that captures each device's computational capabilities. However, these device models have historically been shaped by superconducting hardware, assuming static qubit positions and fixed coupling maps. This prevents them from representing the unique computational capabilities of emerging technologies such as neutral atoms, which feature dynamic qubit rearrangement and zoned operations. As a result, although numerous specialized compilers for neutral atom devices already exist, they cannot retrieve the hardware information they need through these ecosystems - creating a technology lock that hinders or even prevents the integration of neutral atom devices. In this work, we demonstrate how this limitation leads to suboptimal compilation results and can exclude certain devices entirely. Motivated by this, we propose rethinking current device models to faithfully represent neutral atom devices, enabling their seamless integration into universal quantum ecosystems. Evaluations conducted within the Quantum Device Management Interface (QDMI) demonstrate that the proposed device model unlocks a routing overhead fidelity improvement by a factor of up to 100,000 on a circuit with 16 qubits and 600 gates.
Quantum Physics (quant-ph); Emerging Technologies (cs.ET)
arXiv:2607.20616 [quant-ph]
(or arXiv:2607.20616v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2607.20616 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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