Achieving computational gains with quantum error-correction primitives: Generation of long-range entanglement enhanced by error detection
Haoran Liao, Gavin S. Hartnett, Ashish Kakkar, Adrian Tan, Michael Hush, Pranav S. Mundada, Michael J. Biercuk, Yuval Baum

TL;DR
This paper demonstrates that applying quantum error correction primitives without logical encoding can significantly improve quantum gate fidelity and entanglement generation on superconducting processors, with modest overhead and practical benefits.
Contribution
It introduces a novel protocol for long-range CNOT gates using GHZ states and error detection, achieving high fidelity and large-scale entanglement without full logical encoding.
Findings
Achieved over 85% gate fidelity across 40 sites
Generated a 75-qubit GHZ state with low discard fraction
Demonstrated practical benefits of QEC primitives on current devices
Abstract
The resource overhead required to achieve net computational benefits from quantum error correction (QEC) limits its utility while current systems remain constrained in size, despite exceptional progress in experimental demonstrations. In this paper, we demonstrate that the strategic application of QEC primitives without logical encoding can yield significant advantages on superconducting processors--relative to any alternative error-reduction strategy--while only requiring a modest overhead. We first present a novel protocol for implementing long-range CNOT gates that relies on a unitarily prepared Greenberger-Horne-Zeilinger (GHZ) state as well as a unitary disentangling step; the protocol natively introduces an error-detection process using the disentangled qubits as flags. We demonstrate that it achieves state-of-the-art gate fidelities of over 85% across up to 40 lattice sites,…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Neural Networks and Reservoir Computing
