Near-Term Spin-Qubit Architecture Design via Multipartite Maximally-Entangled States
Nikiforos Paraskevopoulos, Matthew Steinberg, Brennan Undseth, Aritra, Sarkar, Lieven M. K. Vandersypen, Xiao Xue, Sebastian Feld

TL;DR
This paper introduces a framework using multipartite entanglement metrics to evaluate and compare near-term spin-qubit architectures, revealing limitations of added local connectivity under realistic noise conditions.
Contribution
It develops new metrics for genuine multipartite entanglement, combines hardware-aware simulations with compilation techniques, and analyzes architectural performance under realistic noise models.
Findings
Sparse lattices can match highly-connected architectures with compilation.
Crosstalk noise diminishes benefits of advanced connectivity.
Framework aids pre-fabrication entanglement analysis.
Abstract
The design and benchmarking of quantum computer architectures traditionally rely on practical hardware restrictions, such as gate fidelities, control, and cooling. At the theoretical and software levels, numerous approaches have been proposed for benchmarking quantum devices, ranging from, inter alia, quantum volume to randomized benchmarking. In this work, we utilize the quantum information-theoretic properties of multipartite maximally-entangled quantum states, in addition to their correspondence with quantum error correction codes, permitting us to quantify the entanglement generated on near-term bilinear spin-qubit architectures. For this aim, we introduce four metrics which ascertain the quality of genuine multipartite quantum entanglement, along with circuit-level fidelity measures. As part of the task of executing a quantum circuit on a device, we devise simulations which combine…
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Taxonomy
TopicsQuantum and electron transport phenomena · Quantum Computing Algorithms and Architecture · Magnetic properties of thin films
