Skip to content

Longitudinal relaxation of a nitrogen-vacancy center in a spin bath by generalized cluster-correlation expansion method

MetadataDetails
Publication Date2020-01-07
JournalAnnals of Physics
AuthorsZhi-Sheng Yang, Yanxiang Wang, Ming‐Jie Tao, Wen Yang, Mei Zhang
InstitutionsBeijing Computational Science Research Center, Beijing Normal University
Citations24
AnalysisFull AI Review Included

This analysis summarizes the theoretical study on the longitudinal relaxation (T1) of a Nitrogen-Vacancy (NV) center electron spin in diamond, utilizing a generalized Cluster-Correlation Expansion (CCE) method.

  • Generalized CCE Development: The standard CCE method, previously limited to pure dephasing (T2*), was generalized by incorporating the central NV electron spin into the cluster definition. This allows for accurate simulation of population dynamics (longitudinal relaxation) involving spin flips and energy exchange.
  • Cross-Relaxation Dynamics: The study numerically demonstrates the decay of the NV electron spin population induced by cross-relaxation with the surrounding 13C nuclear spin bath at ambient temperature.
  • Resonance Enhancement: The longitudinal relaxation rate (1/T1) is highly sensitive to the external magnetic field (Bz). A sharp, nearly order-of-magnitude increase in 1/T1 is observed when Bz is tuned to the electron-nuclear spin resonance point (level anticrossing).
  • Simulation Convergence: The numerical results show rapid convergence, with the 4th-order CCE (4-CCE) providing a reliable and computationally efficient solution for simulating the quantum dynamics of the central spin coupled to a bath of N=50 nuclear spins.
  • Scope Expansion: This generalized CCE approach is capable of describing the full quantum evolution of the system’s density matrix, including both off-diagonal (coherence) and diagonal (population) terms, expanding its utility beyond large-detuning regimes.
ParameterValueUnitContext
NV Ground State SpinS = 1DimensionlessTriplet state of negatively-charged NV center.
Zero-Field Splitting (D)2.87GHzEnergy separation between ms=0 and ms=±1 levels.
13C Nuclear Spin Abundance1.1%Natural abundance in the diamond lattice.
Electronic Gyromagnetic Ratio (gammae)-1.76 x 1011rad·s-1T-1Used for NV Hamiltonian calculation.
13C Nuclear Spin Gyromagnetic Ratio (gammac)6.73 x 107rad·s-1T-1Used for bath Hamiltonian calculation.
Resonance Magnetic Field (Bz)1024.975GField where the NV electron spin transition (
Peak Relaxation Rate (1/T1)~0.1MHzMaximum observed relaxation rate at the resonance point (1024.975 G).
Simulation Bath Size (N)50SpinsNumber of 13C spins used to achieve convergence in CCE calculations.
CCE Truncation Order4DimensionlessOrder required (4-CCE) to yield reliable, convergent results for longitudinal relaxation.

The study is based on a numerical simulation using a generalized theoretical framework, focusing on the Cluster-Correlation Expansion (CCE).

  1. System Hamiltonian Definition: The total system Hamiltonian (H) was constructed, comprising three components: the NV center Hamiltonian (HNV, including zero-field splitting D and Zeeman interaction), the 13C spin bath Hamiltonian (Hbath, including dipole-dipole interactions and Zeeman splitting), and the hyperfine interaction (Hint) coupling the electron spin (S) to the nuclear spins (Ii).
  2. Initial State Preparation: The NV electron spin was initialized into the |0> state (PNV = |0><0|). The 13C nuclear spin bath was modeled as being in a thermal equilibrium state, approximated as unpolarized (PB).
  3. CCE Generalization: The CCE method was generalized by defining clusters that explicitly include the central NV electron spin alongside the bath nuclear spins (e.g., 2-CCE = NV + 1 nuclear spin; 4-CCE = NV + 3 nuclear spins).
  4. Cluster Dynamics Calculation: For each cluster ‘c’, the time evolution of the cluster Hamiltonian (H{c}) was calculated exactly. The cluster survival probability P{c}(t) was obtained by calculating the trace of the evolved density matrix projected onto the initial NV state |0>.
  5. Correlation Calculation and Truncation: Spin-cluster correlations (Pc) were derived from the cluster probabilities P{c}(t) and the probabilities of their sub-clusters. The total survival probability P(t) was then approximated using the M-CCE truncation (up to 4th order) by multiplying the correlations of all clusters up to size M.
  6. Magnetic Field Tuning: The external static magnetic field (Bz) was varied along the NV axis to tune the energy gap between the NV electron spin levels (|0> and |-1>) relative to the 13C nuclear spin Zeeman splitting, thereby controlling the resonance condition and cross-relaxation efficiency.

The theoretical understanding and simulation methodology developed here are critical for advancing solid-state quantum technologies, particularly those based on NV centers in diamond.

  • Quantum Computing and Qubit Control:

    • Provides a high-performance theoretical tool for predicting and mitigating longitudinal decoherence (T1 limits) in solid-state qubits, essential for designing robust quantum gates and error correction protocols.
    • Informs the engineering of isotopically purified diamond (low 13C concentration) to maximize T1 coherence times.
  • High-Sensitivity Quantum Sensing:

    • The sharp peak in the 1/T1 rate near resonance (Bz ≈ 1025 G) can be leveraged to enhance the sensitivity of NV-based magnetometers, allowing for precise detection of weak static magnetic fields.
    • Applicable to atomic-scale magnetometry and the detection of distant nuclear spin clusters, where relaxation dynamics are used as the sensing mechanism.
  • Solid-State Physics Modeling:

    • The generalized CCE method is a powerful tool for modeling complex many-body dynamics in various solid-state systems beyond NV centers, including quantum dots and other defects coupled to nuclear or electron spin baths.
  • Quantum Energy Transfer Research:

    • The methodology is directly relevant to studying coherent energy transfer mechanisms in open quantum systems, a topic of broad interest in fields like quantum biology and materials science.