Erasure conversion for fault-tolerant quantum computing in alkaline earth Rydberg atom arrays

Wu, Yue; Kolkowitz, Shimon; Puri, Shruti; Thompson, J. D.

doi:10.1038/s41467-022-32094-6

Cited by 70 publications

(34 citation statements)

References 69 publications

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“…23 Furthermore, the bare ion remaining after autoionization can be used to convert Rydberg gate errors to erasure errors. 28 This autoionization transition is unique to AEAs and serves as another advantage of this platform for quantum computing architectures.…”

Section: Quantum Computingmentioning

confidence: 99%

Frontiers in quantum science with Yb atom arrays

Burgers¹

2023

Quantum Computing, Communication, and Simulation III

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Neutral atoms trapped in arrays of optical tweezers are a versatile platform for multiple research efforts in quantum information science. In particular, alkaline-earth atoms like Yb offer many advantages including ultralong coherence nuclear spin states for quantum information storage and high-fidelity qubit operations, optical transitions to Rydberg states for generating strong, long-range interactions between atoms, and narrow optical transitions for efficient cooling and metrology. Additionally, optical transitions from the long-lived 3 P 0 nuclear spin state have frequencies in the telecommunications band making integration with fiber networks and silicon nanophotonics an attractive avenue of exploration for hybrid quantum systems and quantum communication. Finally, these optical tweezer platforms are well suited for investigating the cooperative response of an array of atoms, where the proximity of neighboring atoms fundamentally alters the systems optical response which has implications for quantum information storage. Here I will present efforts to investigate these research avenues using alkaline-earth atoms in optical tweezers.

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Section: Quantum Computingmentioning

confidence: 99%

Frontiers in quantum science with Yb atom arrays

Burgers¹

2023

Quantum Computing, Communication, and Simulation III

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“…Although low-loss readout techniques exist ( 30 , 31 ), finite losses always remain from both the readout itself and the trapping lifetime. Therefore, continuous operation of atom-based quantum processors will require reload and reset operations that overcome these erasure errors ( 32 , 33 ). In this work, we explored two methods for reloading spectators while maintaining coherent data qubits.…”

Section: Coherent Reloading Of Spectator Qubitsmentioning

confidence: 99%

Mid-circuit correction of correlated phase errors using an array of spectator qubits

Singh

Bradley

Anand

et al. 2023

Science

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Scaling up invariably error-prone quantum processors is a formidable challenge. Although quantum error correction ultimately promises fault-tolerant operation, the required qubit overhead and error thresholds are daunting. In a complementary proposal, co-located, auxiliary ‘spectator’ qubits act as in-situ probes of noise, and enable real-time, coherent corrections of data qubit errors. We use an array of cesium spectator qubits to correct correlated phase errors on an array of rubidium data qubits. By combining in-sequence readout, data processing, and feed-forward operations, these correlated errors are suppressed within the execution of the quantum circuit. The protocol is broadly applicable to quantum information platforms, and establishes key tools for scaling neutral-atom quantum processors: mid-circuit readout of atom arrays, real-time processing and feed-forward, and coherent mid-circuit reloading of atomic qubits.

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“…These signal the occurrence of potential erasures while leaving the quantum state invariant if no erasures have happened. Such detection protocols have been proposed or even implemented for various architectures [80,84,87]. To be able to protect a logical qubit from single erasures, a code consisting of at least four physical qubits is necessary [79].…”

Section: Correction Of Erasures and Computational Errorsmentioning

confidence: 99%

Quantum Error Correction with Quantum Autoencoders

Locher

Cardarelli

Müller

2023

Quantum

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Active quantum error correction is a central ingredient to achieve robust quantum processors. In this paper we investigate the potential of quantum machine learning for quantum error correction in a quantum memory. Specifically, we demonstrate how quantum neural networks, in the form of quantum autoencoders, can be trained to learn optimal strategies for active detection and correction of errors, including spatially correlated computational errors as well as qubit losses. We highlight that the denoising capabilities of quantum autoencoders are not limited to the protection of specific states but extend to the entire logical codespace. We also show that quantum neural networks can be used to discover new logical encodings that are optimally adapted to the underlying noise. Moreover, we find that, even in the presence of moderate noise in the quantum autoencoders themselves, they may still be successfully used to perform beneficial quantum error correction and thereby extend the lifetime of a logical qubit.

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Erasure conversion for fault-tolerant quantum computing in alkaline earth Rydberg atom arrays

Cited by 70 publications

References 69 publications

Frontiers in quantum science with Yb atom arrays

Frontiers in quantum science with Yb atom arrays

Mid-circuit correction of correlated phase errors using an array of spectator qubits

Quantum Error Correction with Quantum Autoencoders

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