Quantum-information processing on nitrogen-vacancy ensembles with the local resonance assisted by circuit QED

Tao, Ming‐Jie; Hua, Ming; Ai, Qing; Deng, Fu‐Guo

doi:10.1103/physreva.91.062325

Cited by 43 publications

(30 citation statements)

References 81 publications

(112 reference statements)

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“…Besides, Equations (8)(9)(10)(11) are the universal formula of controlled phase gates for different N, where C l 1 l 2 included four gates, C l 1 l 2 l 3 included eight gates and so on. Here, 1 ⊕ 1 = 0, 1 ⊕ 0 = 0 ⊕ 1 = 1, and 0 ⊕ 0 = 0.…”

Section: Natural Quantum Gates Through Dampingmentioning

confidence: 99%

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Direct Observation of Dissipation in Dynamical Search Algorithm using Transmon Qubits

et al. 2019

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Following recent work [Fortschritte der Physik 66, 1700080 (2018)], the dissipation effect of the dynamical quantum search algorithm (DQSA) is investigated. Such an algorithm is realized with the interaction of multi superconducting transmon qubits inside a 3D bus cavity. The dissipation of such system is caused by managing the sensitivity to charge noise via tuning the qubit frequency by employing Josephson energy. The probabilities of marked and unmarked states for the present algorithm have been calculated analytically and numerically. Such probabilities of marked states are sensitive to any change in the dissipation parameter. A deficiency causes the dissipation for the marked states, and that deficiency is added to the unmarked states. It is interesting to mention that one of the datasets at large dissipation rates gives an observation of the marked states probabilities which is related to the decoherence free subspace. It is predicted that the algorithm can be successfully implemented in the current experiments.

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Section: Natural Quantum Gates Through Dampingmentioning

confidence: 99%

“…[1][2][3] Building a quantum computer consists of several interrelating and interconnecting phases. [5][6][7][8] [4] A lot of dramatic improvement of qubit technology exploiting superconducting circuit quantum electrodynamics (QED) for achieving a scalable quantum computer has been investigated.…”

Section: Introductionmentioning

confidence: 99%

Direct Observation of Dissipation in Dynamical Search Algorithm using Transmon Qubits

et al. 2019

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“…The couplings are taken as

g_{1}^{g e} = g_{1}^{g u} = g_{2}^{g e} = g_{2}^{g u} = 2 π \times 0.32

MHz, which means the coupling strength between a single NV and the AWR is

g_{s} / 2 π \sim 1

kHz when there are 10 5 NV‐centers in the ensemble.

κ_{1}^{- 1} = κ_{2}^{- 1} = 9.83 \times 10^{2} s

γ_{g e}^{- 1} = γ_{g u}^{- 1} = 6 m s

{(γ_{e}^{ϕ})}^{- 1} = {(γ_{u}^{ϕ})}^{- 1} = 600 μ s

. The remaining parameters in each step for generating the NOON states with

N = M = 1

, 2, and 3 are shown in Tables –, respectively.…”

Section: Numerical Simulationmentioning

confidence: 99%

NOON State Generation with Phonons in Acoustic Wave Resonators Assisted by a Nitrogen‐Vacancy‐Center Ensemble

Hua

Yan

2018

Annalen der Physik

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Since the quality factor of an acoustic wave resonator (AWR) reached 10 11 , AWRs have been regarded as a good carrier of quantum information. In this paper, a scheme to construct a NOON state with two AWRs assisted by a nitrogen-vacancy-center ensemble (NVE) is proposed. The two AWRs cross each other vertically, and the NVE is located at the center of the crossing. By considering the decoherence of the system and using resonant interactions between the AWRs and the NVE, and the single-qubit operation of the NVE, a NOON state can be achieved with a fidelity higher than 98.8% when the number of phonons in the AWR is N ≤ 3.

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“…Hybrid quantum systems, composed of different kinds of qubits, have attracted tremendous attentions recently [19][20][21][22][23][24][25][26][27]. In addition, cavity or circuit QED has been considered as one of the most promising candidates for implementing large-scale QIP [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Transferring multiqubit entanglement onto memory qubits in a decoherence-free subspace

Yang

2017

Quantum Inf Process

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Different from the previous works on generating entangled states, this work is focused on how to transfer the prepared entangled states onto memory qubits for protecting them against decoherence. We here consider a physical system consisting of n operation qubits and 2n memory qubits placed in a cavity or coupled to a resonator. A method is presented for transferring n-qubit Greenberger-Horne-Zeilinger (GHZ) entangled states from the operation qubits (i.e., information processing cells) onto the memory qubits (i.e., information memory elements with long decoherence time). The transferred GHZ states are encoded in a decoherence-free subspace against collective dephasing, and thus can be immune from decoherence induced by a dephasing environment. In addition, the state transfer procedure has nothing to do with the number of qubits, the operation time does not increase with the number of qubits, and no measurement is needed for the state transfer. This proposal can be applied to a wide range of hybrid qubits such as natural atoms and artificial atoms (e.g., various solid-state qubits).

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Quantum-information processing on nitrogen-vacancy ensembles with the local resonance assisted by circuit QED

Cited by 43 publications

References 81 publications

Direct Observation of Dissipation in Dynamical Search Algorithm using Transmon Qubits

Direct Observation of Dissipation in Dynamical Search Algorithm using Transmon Qubits

NOON State Generation with Phonons in Acoustic Wave Resonators Assisted by a Nitrogen‐Vacancy‐Center Ensemble

Transferring multiqubit entanglement onto memory qubits in a decoherence-free subspace

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