Highly photon-loss-tolerant quantum computing using hybrid qubits

Omkar, S.; Teo, Yong Siah; Lee, Seung-Woo; Jeong, Hyunseok

doi:10.1103/physreva.103.032602

Cited by 11 publications

(12 citation statements)

References 65 publications

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“…(a) In terms of photon-loss threshold η th , we note that both MTQC-1 and MTQC-2 permit an overall tolerance value that is conspicuously larger than those offered in Refs. [11,25,26,[37][38][39] by at least an order of magnitude, and at least two orders of magnitude than those given in Refs. [16,21,24].…”

Section: Comparisonmentioning

confidence: 50%

“…However, if the coherent amplitude of hybrid qubits is too large, the dephasing noise level in the presence of photon loss will also be commensurately too high [29]. Reference [26] also supports the logic that quantum computing on a special cluster state known as Raussendorf-Harrington-Goyal (RHG) lattice [30,31] built with only DV qubits could tolerate higher photon loss, albeit at higher resource costs. Larger cluster states like the RHG lattice is built by performing BSMs on smaller entangled states.…”

Section: Introductionmentioning

confidence: 68%

“…(b) resource overheads of known linear optical quantum computing schemes [11,16,21,[24][25][26][37][38][39] with MTQC-1 and MTQC-2. Clearly, MTQC shows exceptionally high loss tolerance compared to all known schemes, and is also highly competitive in terms of resource efficiency.…”

Section: Comparisonmentioning

confidence: 99%

“…Recently, there have been efforts to combine the DV and CV approaches for quantum computing [24][25][26][27][28]. It was demonstrated that by using optical hybrid qubits, which are entangled states in the DV and CV domains, neardeterministic entangling operations can be implemented [24,25].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, many shortcomings faced individually by CV and DV qubit-based schemes are overcome. Importantly, quantum computing with hybrid qubits reduces resource overheads and also improves the photon-loss tolerance [24][25][26]. By increasing the amplitude of the CV part, incurred resources can also be reduced.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

All-photonic architectural roadmap for scalable quantum computing using Greenberger-Horne-Zeilinger states

Omkar,

Lee,

Teo

et al. 2021

Preprint

Self Cite

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Linear optical quantum computing is beset by the lack of deterministic entangling operations besides photon loss. Motivated by advancements at the experimental front in deterministic generation of various kinds of multiphoton entangled states, we propose an architecture for linear-optical quantum computing that harnesses the availability of three-photon Greenberger-Horne-Zeilinger (GHZ) states. Our architecture and its subvariants use polarized photons in GHZ states, polarization beam splitters, delay lines, optical switches and on-off detectors. We concatenate topological quantum error correction code with three-qubit repetition codes and estimate that our architecture can tolerate remarkably high photon-loss rate of 11.5%; this makes a drastic change that is at least an order higher than those of known proposals. Further, considering three-photon GHZ states as resources, we estimate the resource overheads to perform gate operations with an accuracy of 10 −6 (10 −15 ) to be 2.0 × 10 6 (5.6 × 10 7 ). Compared to other all-photonic schemes, our architecture is also resource-efficient. In addition, the resource overhead can be even further improved if larger GHZ states are available. Given its striking enhancement in the photon loss threshold and the recent progress in generating multiphoton entanglement, our scheme will make scalable photonic quantum computing a step closer to reality.

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Section: Comparisonmentioning

confidence: 50%

Section: Introductionmentioning

confidence: 68%

Section: Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

All-photonic architectural roadmap for scalable quantum computing using Greenberger-Horne-Zeilinger states

Omkar,

Lee,

Teo

et al. 2021

Preprint

Self Cite

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Purification for hybrid logical qubit entanglement

Luo

Zhou

Zhong

et al. 2022

Quantum Inf Process

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Parity-encoding-based quantum computing with Bayesian error tracking

Lee

Omkar²,

Teo

et al. 2023

npj Quantum Inf

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Measurement-based quantum computing (MBQC) in linear optical systems is promising for near-future quantum computing architecture. However, the nondeterministic nature of entangling operations and photon losses hinder the large-scale generation of graph states and introduce logical errors. In this work, we propose a linear optical topological MBQC protocol employing multiphoton qubits based on the parity encoding, which turns out to be highly photon-loss tolerant and resource-efficient even under the effects of nonideal entangling operations that unavoidably corrupt nearby qubits. For the realistic error analysis, we introduce a Bayesian methodology, in conjunction with the stabilizer formalism, to track errors caused by such detrimental effects. We additionally suggest a graph-theoretical optimization scheme for the process of constructing an arbitrary graph state, which greatly reduces its resource overhead. Notably, we show that our protocol is advantageous over several other existing approaches in terms of the fault-tolerance and resource overhead.

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Highly photon-loss-tolerant quantum computing using hybrid qubits

Cited by 11 publications

References 65 publications

All-photonic architectural roadmap for scalable quantum computing using Greenberger-Horne-Zeilinger states

All-photonic architectural roadmap for scalable quantum computing using Greenberger-Horne-Zeilinger states

Purification for hybrid logical qubit entanglement

Parity-encoding-based quantum computing with Bayesian error tracking

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