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This research presents optimal partitioning strategies for distributed quantum Fourier transform circuits, specifically targeting the reduction of e-bit counts required for inter-QPU entanglement. By introducing novel gate-packing and detached-gate schemes, the study offers practical methods to scale quantum systems under varying ancilla constraints while validating results on actual hardware. These advancements are critical for optimizing communication overhead in modular quantum architectures.
Surse care acoperăarXiv, LessWrong, AI Alignment Forum, Quantum Zeitgeist
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Towards an Optimally Distributed Quantum Fourier Transform Circuit

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2606.18494v2 Announce Type: replace Abstract: A promising avenue for scaling quantum computing is to connect quantum processing units (QPUs) by generating entanglement between them. This requires circuit partitioning: partially rewriting quantum circuits to run on a distributed quantum system using quantum teleportation protocols, while preserving the unitary operation implemented by the circuit. The key metric to minimize when partitioning is the e-bit count, defined as the number of maximally entangled qubit pairs that must be generated between QPUs. We focus on partitioning the quantum Fourier transform (QFT) circuit, which is widely used as a subroutine in quantum algorithms such as quantum phase estimation and arithmetic circuits. Specifically, we present an optimal gate-packing-based partitioning scheme under bounded communication ancilla constraints, as well as a novel detached-gate-based partitioning scheme that achieves optimal e-bit consumption when ancilla availability is unrestricted. We compare these schemes against prior analytical partitioning approaches for the QFT and evaluate them against partitions produced by general-purpose circuit partitioning algorithms. We further validate our approach by implementing the bounded-ancilla circuits on quantum hardware.

Abstract:A promising avenue for scaling quantum computing is to connect quantum processing units (QPUs) by generating entanglement between them. This requires circuit partitioning: partially rewriting quantum circuits to run on a distributed quantum system using quantum teleportation protocols, while preserving the unitary operation implemented by the circuit. The key metric to minimize when partitioning is the e-bit count, defined as the number of maximally entangled qubit pairs that must be generated between QPUs. We focus on partitioning the quantum Fourier transform (QFT) circuit, which is widely used as a subroutine in quantum algorithms such as quantum phase estimation and arithmetic circuits. Specifically, we present an optimal gate-packing-based partitioning scheme under bounded communication ancilla constraints, as well as a novel detached-gate-based partitioning scheme that achieves optimal e-bit consumption when ancilla availability is unrestricted. We compare these schemes against prior analytical partitioning approaches for the QFT and evaluate them against partitions produced by general-purpose circuit partitioning algorithms. We further validate our approach by implementing the bounded-ancilla circuits on quantum hardware.

v2: 24 pages, 20 figures. Added the detached-gate-based distributed QFT construction and related results. v1: 22 pages, 20 figures

arXiv:2606.18494 [quant-ph]

(or arXiv:2606.18494v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2606.18494 Focus to learn more arXiv-issued DOI via DataCite

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