Abstract
Combining external control with long spin lifetime and coherence is a key challenge for solid state spin qubits. Tunnel coupling with electron Fermi reservoir provides robust charge state control in semiconductor quantum dots, but results in undesired relaxation of electron and nuclear spins through mechanisms that lack complete understanding. Here, we unravel the contributions of tunnelling-assisted and phonon-assisted spin relaxation mechanisms by systematically adjusting the tunnelling coupling in a wide range, including the limit of an isolated quantum dot. These experiments reveal fundamental limits and trade-offs of quantum dot spin dynamics: while reduced tunnelling can be used to achieve electron spin qubit lifetimes exceeding 1 s, the optical spin initialisation fidelity is reduced below 80%, limited by Auger recombination. Comprehensive understanding of electron-nuclear spin relaxation attained here provides a roadmap for design of the optimal operating conditions in quantum dot spin qubits.
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Introduction
Semiconductor quantum dots (QDs) offer excellent quantum optical properties and well-defined quantum states of individual spins—an attractive combination for quantum information processing devices1. Recent proof-of-concept demonstrations with QDs include heralded entanglement of two remote spins2, generation of photonic cluster states3, spin-controlled photon switching4 as well as implementation of electron–nuclear quantum spin interfaces5 and nuclear spin quantum computing6. The stability of the spin states, measured by their lifetimes, is crucial in all these applications.
Quantum dot is described by a central spin of a single charge (electron or hole) coupled to N ≈ 103−105 nuclear spins via hyperfine interaction7. The lack of translational motion combined with the mismatch in electron and nuclear spin energies suppresses relaxation8, providing long spin lifetimes required for spin qubits. However, thorough understanding of spin relaxation is complicated by the multitude and complexity of the residual environment couplings, which include electron–phonon interactions9,10,11,12, quadrupolar coupling of nuclear spins to strain13, nuclear spin diffusion, and electron cotunneling14,15 arising from proximity of the Fermi reservoir. Moreover, impurity charge traps16,17 adjacent to QDs degrade spin qubit lifetimes. Thus, it remains an open question to establish the maximum (intrinsic) spin lifetimes that can be achieved at any given magnetic field and temperature, as opposed to spin relaxation arising from QD device design and imperfections.
Phonon-assisted electron spin relaxation enabled by spin–orbit interaction is a dominant mechanism9,10,18 at high magnetic field Bz ≳ 2 T, but the limit to electron spin lifetime T1,e at low fields remains unexplored. In case of nuclear spins, cotunneling-mediated relaxation was identified as dominant mechanism15, while direct verification is lacking, since bias control of cotunneling is restricted to a narrow range compatible with single-electron QD state.
Here we study a series of structures where electron cotunneling is controlled directly by the thickness tB of the tunnel barrier separating the dot from the Fermi reservoir. We find that at Bz ≳ 2 T and temperatures θ > 4.2 K nuclear spin relaxation is dominated by a higher-order process assisted by phonons19,20 and noncollinear hyperfine interaction13, rather than by cotunneling, which is dominant only at low fields Bz ≲ 2 T. Electron spin lifetimes exceeding T1,e > 1 s are found at Bz ≈ 0.4 T, with a fundamental maximum T1,e ≈ 20 s estimated for an isolated dot at θ = 4.2 K, bounded by phonon relaxation and direct hyperfine interaction at high and low magnetic fields, respectively. While coupling to Fermi reservoir degrades T1,e, it is shown to play a crucial role in counteracting Auger recombination21 and enabling electron spin initialisation with near-unity fidelity22.
Results
Quantum dot structures and experimental techniques
Figure 1a sketches conduction band energy profile which is controlled with external bias VS to tune an InAs QD into Coulomb blockade regime, where it is charged deterministically23 with a single electron (1e). The trion state with two electrons and one hole can be accessed through resonant optical excitation, and observed in resonance fluorescence (ResFl). Magnetic field Bz along the sample growth axis splits the electron spin-up \(\left|\uparrow \right\rangle\) and spin-down \(\left|\downarrow \right\rangle\) energies (Fig. 1b), enabling selective excitation of the optically allowed transition between \(\left|\uparrow \right\rangle\) electron and the trion \(\left|\uparrow \downarrow \Uparrow \right\rangle\) with a spin-up hole \(\left|\Uparrow \right\rangle\). Weak recombination enabled by hyperfine and heavy–light hole mixing β ≪ 1 can ‘shelve’ the dot14 into \(\left|\downarrow \right\rangle\) state, quenching ResFl intensity IResFl until electron returns to \(\left|\uparrow \right\rangle\) through a spin flip with rate ξ↑↓. Such shelving provides an efficient way both for initialisation and readout of the electron spin14,22. Furthermore, hyperfine interaction \({\hat{{\mathcal{H}}}}_{{\rm{hf}}}\propto (\hat{{\bf{I}}}\hat{{\bf{s}}})\) of electron spin s with nuclear spins I enables electron–nuclear flip–flops, so that repeated electron spin initialisation creates a net nuclear spin polarisation PN, which can be monitored through optically measured hyperfine shifts Ehf in the splitting of the \(\left|\uparrow \right\rangle\) and \(\left|\downarrow \right\rangle\) states7,17.
Electron and nuclear spin dynamics are measured using a pump-delay-probe protocol (Fig. 1c). The decay of optically pumped electron [nuclear] spin polarisation over dark period TDark is probed by measuring IResFl [Ehf]. Figure 1d shows an example of time-resolved ResFl, which is used to derive the residual electron spin polarisation Pe after a delay TDark (see the “Methods” section). Measurements of Pe at different TDark reveal electron spin relaxation (symbols in Fig. 1e), while examples of nuclear spin relaxation Ehf(TDark) are shown in Fig. 1f. Fitting (lines in Fig. 1e, f) is used to derive the intrinsic spin-relaxation rates of electron Γe = 1/T1,e = 2ξ↑↓ and nuclei ΓN = 1/T1,N.
Effect of Auger recombination on spin initialisation
We make a systematic comparison of spin dynamics in a thin-barrier sample (tB = 37 nm, Fig. 2a–c), similar to structures used previously10,14,15, and a thick-barrier structure (tB = 52 nm, Fig. 2d–f), approximating a QD isolated from the Fermi reservoir. Examining the bias dependence of continuous excitation resonance flourescence intensity IResFl in a thin-barrier sample, we observe a 1e plateau at Bz = 0 T (triangles in Fig. 2a), while at high Bz (circles and squares in Fig. 2a) ResFl is strongly suppressed, indicating spin ‘shelving’10,14. A striking difference is observed in a thick-barrier sample (Fig. 2d), where fluorescence intensity and spin ‘shelving’ contrast are reduced (Fig. 2a), which may at first suggest the lack of electron spin initialisation. However, this is ruled out by time-resolved ResFl (e.g. Fig. 1d), which reveals spin-pumping fluorescence pulses of similar intensity for all tB. We ascribe the reduction in IResFl and the peculiar two-stage electron spin decay in a thick-barrier sample (squares in Fig. 1e) to the Auger process21,24, where electron–hole recombination ejects the second electron with a rate γA (Fig. 1b). Following the ejection, an empty QD does not contribute to ResFl, hence Pe ≈ 1 observed initially. During TDark an unpolarised electron can return from the Fermi reservoir with recharging rate r, giving rise to the fast component of the Pe(TDark) decay (squares in Fig. 1e at TDark < 100 μs), whereas the slow component corresponds to resident electron spin relaxation with rate Γe.
Using rate equation modelling (see details in the “Methods” section) of the four-level system shown in Fig. 1b, we find good description of the experiments (dashed line Fig. 1e) and derive r ≈ 1.26 × 105 s−1, \({\varGamma }_{{\rm{e}}}={T}_{1,{\rm{e}}}^{-1}\approx 3.3\) s−1. Importantly, the level Pe ≈ 0.77 reached after dot recharging (TDark ≈ 100 μs) gives a direct measure of the electron spin initialisation fidelity in a thick-barrier sample, revealing the fundamental limitations arising in an isolated (tB → ∞) QD. In a thin-barrier sample, Auger recombination is counteracted by fast recharging: the resulting spin initialisation fidelity is higher, but can never reach unity. The maximum spin initialisation fidelity is an algebraic function of QD properties such as relaxation rates and heavy-light hole mixing. (The exact expression can be found in Supplementary Note 2.) Analysis shows that fidelity is improved for faster recharging r, larger trion mixing β and slower spin flip ξ↑↓. Conversely, in the limit of infinitely slow recharging r → 0 spin initialisation becomes impossible (Pe → 0), imposing a practical lower limit on the tunnel coupling with the Fermi reservoir.
Fundamental limits of electron spin lifetimes
Figure 2 shows that electron (Fig. 2b, e) and nuclear (Fig. 2c, f) spin relaxation rates are reduced at the centre of the 1e plateau15,25. This Coulomb blockade regime is of most interest, as it corresponds to a stable electron spin qubit, and is examined in more detail in Fig. 3. The dependence of Γe on magnetic field is well described (solid lines in Fig. 3a) by
where for the field-dependent mechanism assisted by spin–orbit interaction and phonons we find \({\varGamma }_{{\rm{e}},{\rm{ph}}}\approx 2.27\pm 0.48\,{\mathrm {{s}}}^{-1}\times {{\rm{T}}}^{-{k}_{{\rm{ph}}}}\) and kph ≈ 4.1 ± 0.13 in both samples. The exponent is in good agreement with kph = 4 predicted26 and observed experimentally9 for this mechanism in high-temperature regime μBgeBz ≲ kBθ, where phonon thermal occupation factor gives rise to an additional \(\propto\! {B}_{z}^{-1}\) factor in Γe. This condition is well satisfied for our experiments at Bz ≤ 8 T, θ ≥ 4.5 K and typical g-factor values ∣ge∣ ≈ 0.4. By contrast, in previous studies at Bz ≤ 12 T, θ ≈ 1 K the onset of low-temperature regime was observed9, where phonon thermal occupation factor is ≈1, resulting in kph = 5.
Cotunneling involves virtual injection of a second electron into the dot, followed by return of a spin-flipped electron to the Fermi reservoir14,27. The fitted cotunneling-induced relaxation rate in a thin-barrier (tB = 37 nm) sample Γe,cotun ≈ 532 ± 65 s−1 = (0.0019 ± 0.0002 s)−1 is larger than Γe,cotun ≈ (1.65 ± 0.21 s)−1 found for a thicker tB = 52 nm. Since Γe,cotun is field independent, the increase in Γe at very low Bz ≲ 0.2 T (squares in Fig. 3a) is likely due to energy-conserving electron–nuclear flip–flops, which become allowed when electron Zeeman energy is comparable to nuclear quadrupolar energy. By extrapolating the phonon (dotted line) and hyperfine (dash-dotted line) mechanisms we roughly estimate the fundamental minimum of the electron spin relaxation rate in an isolated (tB → ∞) QD as \({\varGamma }_{{\rm{e}},\min }\gtrsim {(20\,{\rm{s}})}^{-1}\), expected to occur at Bz ≈ 0.4 T for θ ≈ 4.5 K. Similarly slow electron spin relaxation rates were reported in strain-free III–V QDs28, although at lower temperatures θ < 0.1 K.
Figure 3b shows Γe measured in cotunneling-dominated low-field regime in samples with different barriers. A considerable variation between individual dots for the thin barrier tB = 37 nm can be due to random atomic-scale positioning of the individual Si dopants29 and Si segregation30 at the interface between tunnel barrier and Fermi reservoir. By contrast, in a thick-barrier sample (tB = 52 nm) the dot is coupled to a large number of dopants, smoothing out atomic-scale variations and leading to consistent Γe.
In low-field regime the barrier thickness tB controls both the electron spin relaxation rate Γe and recharging rate r, but we find that r exceeds Γe by approximately five orders of magnitude, as exemplified in Fig. 1e. The recharging of an empty QD is a first-order tunnelling process, whereas cotunneling in a charged QD is a second-order process31,32, which qualititatively explains the difference in rates. Moreover, the charge state of the dot itself may affect the conduction band energy profile, altering the tunnel coupling. An accurate first-principle quantitative description of the rates would require development of a detailed theoretical model.
Nuclear spin relaxation mechanisms
The marked difference in nuclear spin relaxation rate ΓN (solid symbols in Fig. 3a) of the two samples at low magnetic fields suggest cotunneling as the dominant channel, whereas at Bz ≳ 2 T cotunneling is negligible. This is in contrast to previous studies under similar conditions (tB = 35 nm, Bz = 5 T), which identified cotunneling and nuclear spin diffusion15 as dominant mechanisms. We examine diffusion by varying the spin pumping time (squares in Fig. 3c): Taking the difference in ΓN at short and long pumping, the diffusion rate is estimated to be as small as ΓN,diff ≲ 10−4 s−1 (at Bz = 8 T). Slow diffusion is due to quadrupolar freezing of nuclear spin flip–flops15,17. Moreover, optical pumping through wetting layer states used in this work (as opposed to resonant optical pumping in ref. 15), is likely to polarise nuclear spins not only in the dot but also in its vicinity, further suppressing the diffusion. Thus cotunneling and spin diffusion alone do not account for all the relevant nuclear spin relaxation mechanisms.
To explain the entire ΓN(Bz) dependence, we treat the average spin of the QD electron as a random process. Uniquely for self-assembled QDs, noncollinear hyperfine interaction permits nuclear spin relaxation without electron spin flip13—this mechanism is expected to be more efficient than direct electron–nuclear spin flips15. The transition rate ΓN,ij between states \(\left|i\right\rangle\) and \(\left|j\right\rangle\) of a single nuclear spin is proportional to spectral power density33 of the fluctuating electron spin sz(t) at the nuclear spin transition frequency νij. Using first-order perturbation theory13 we have
where Ahf is the hyperfine constant, \({M}_{ij}=\langle i| {\hat{I}}_{z}| j\rangle\) is the matrix element of the nuclear spin operator \({\hat{I}}_{z}\), and electron spin correlation time is approximated by τe ≈ 1/Γe. This model describes a higher-order nuclear spin relaxation process, mediating by electron spin relaxation, which in turn is dominated by phonons at high fields or cotunneling at low fields. In the high field limit \(| {M}_{ij}{| }^{2}\propto {B}_{z}^{-2}\), \({\varGamma }_{{\rm{e}}}\propto {B}_{z}^{4}\) and \({\nu }_{ij}^{2}\propto {B}_{z}^{2}\) (see the “Methods” section) leading to \({\varGamma }_{{\rm{N}}}\propto {\rm{const}}\), which agrees with the weak field dependence of ΓN observed for both samples at Bz ≳ 4 T (solid symbols in Fig. 3a). Moreover, temperature dependence at high field (Fig. 3d) is close to linear ΓN ∝ θ at θ ≲ 15 K, matching the Γe ∝ θ dependence34 of the underlying phonon-mediated electron spin relaxation process. Superlinear growth of ΓN at θ ≳ 15 K is likely due to two-phonon processes26,35, with scaling predicted to range between ∝θ2 and ∝θ9.
For quantitative description (see the “Methods” section) we use experimentally measured Γe and estimate νij and Mij from magnetic resonance spectra36,37. The results (dashed lines in Fig. 3a) are in good agreement for the thin barrier (tB = 37 nm), where electron correlation time is short. The discrepancy for the thick-barrier sample (tB = 52 nm) is most prominent at Bz ≲ 2.5 T, revealing the limitations of the electron-spin fluctuation model (Eq. (2)) in the previously unexplored regime of a nearly isolated long-lived electron spin. To examine the cause, we note that \({\tau }_{{\rm{e}}}^{2}{\nu }_{ij}^{2}\gg 1\) except for possible quadrupolar anti-crossings of the nuclear spin levels37,38, so that Eq. (2) can be rewritten as
The right side of this equation is a function of magnetic field and quantum dot structural properties, such as chemical composition and strain inhomogeneity, but it does not depend on tunnel coupling to Fermi reservoir. If τe = 1/Γe, the equation predicts independence of ΓN/Γe on tunnel barrier. This is seen to be the case in Fig. 4 for samples with tB = 37 and 42 nm, whereas the thick barrier sample (tB = 52 nm) shows excessive ΓN/Γe.
The exact reason for the increased ΓN/Γe in the thick barrier sample is not clear. One likely possibility is additional nuclear spin relaxation mechanisms where hyperfine interaction fluctuates without electron spin flips, resulting in τe < 1/Γe. For example, modulation of the hyperfine interaction can occur through electron wavefunction density shifts, arising from fluctuating electric fields of the itinerant carriers in the Fermi reservoir33,39, or charge traps16. Charge noise in the studied structures is indeed present and evidenced, e.g. by fluctuating electron spin relaxation rates at the edges of 1e plateau (circles in Fig. 3e). Future experiments using, e.g. bias modulation spectroscopy may elucidate the roles of different nuclear spin relaxation mechanisms and lead to more accurate theoretical models. Further improvements to nuclear spin relaxation description can be sought through a microscopic model that takes into account quadrupolar anti-crossings of the individual nuclear spin levels37,38, which may accelerate relaxation and reenable frozen spin diffusion. A contribution of direct nuclear–phonon interaction33,40 is also possible, as its rate ΓN ≈ 10−4−10−3 s−1 is comparable to the lowest ΓN observed here in electron-charged QDs.
Discussion
Experiments presented here establish a comprehensive picture of electron–nuclear spin relaxation in self-assembled QDs in a wide range of practically accessible conditions. Present experiments require Bz ≳ 0.15 T to initialise the spins22 and resolve the Zeeman-split optical transitions for spin probing. Extension to lower fields could shed light on the less explored regime where electron spin relaxation abruptly slows down from Γe ≈ 109 s−1 at zero field8,41 to Γe ≈ 1 s−1 observed here at 0.15 T. For the practically interesting range Bz ≳ 0.15 T, electron spin relaxation is fundamentally limited by phonon coupling, which is similar in other types of QDs. Hence, electron spin lifetimes exceeding 1 s should be achievable in GaAs electrostatic28 and epitaxial42 QDs, as well as in II–VI QDs43,44. By contrast, nuclear spin relaxation studied here is specific to self-assembled III–V QDs, and is governed by noncollinear hyperfine interaction. All experiments here were conducted in Faraday geometry, whereas noncollinear interaction is expected to be even stronger for magnetic field tilted away from the sample growth axis37, which may lead to faster nuclear spin relaxation in Voigt geometry. The techniques employed here, can also be applied to establish the less explored fundamental limits of nuclear spin dynamics in electron-charged strain-free QDs28,42, where noncollinear interaction will be small, but nuclear spin diffusion might be more prominent.
Methods
Samples and experimental techniques
The samples are low-density InAs self-assembled QDs (≲1 QD per μm2) grown on a GaAs substrate. The dot layer is positioned at the centre of a λ/2 optical cavity formed by a bottom Bragg mirror consisting of 15 GaAs/AlAs pairs and a top reflector with 2 pairs (estimated quality factor Q ≈ 60). Cavity mode is centred at 950 nm, which matches the long-wavelength tail of the QD wavelength distribution. The Fermi reservoir is formed by a doped GaAs layer (Si concentration of 1.1 × 1018 cm−3, thickness ≈ 80 nm). The doped layer is located beneath QDs and is separated by a GaAs layer of thickness tB = 37–52 nm, depending on the structure. Each sample is processed into a Schottky diode structure with an Au/(In–Ge) ohmic back contact45 annealed from the top surface, and a 5 nm-thick semitransparent Ti Schottky top contact. External bias is applied to the top contract and controls the charge states of QDs. In order to form an electron spin qubit, the dot is charged deterministically with one electron (1e). This is achieved by tuning the energy of the 1e state to ≈10 meV below the Fermi energy EF (Fig. 1a), while the two-electron (2e) state remains depopulated, since its energy exceeds EF by ≈10 meV, which is ≳20 times the thermal energy kBθ at liquid helium temperature θ ≈ 4.2 K (Boltzmann constant kB ≈ 86.17 μeV K−1). The dot is then charged by an electron tunnelling from the Fermi reservoir.
The sample is mounted in a bath cryostat equipped with a superconducting coil producing magnetic field up to 8 T in Faraday geometry (field parallel to sample growth direction and optical axis z). An aspheric lens mounted near the sample is used for optical excitation of the QD and for light collection. Photoluminescence (PL) spectroscopy (see Supplementary Fig. 1) is used for initial QD characterisation. In nuclear spin dynamics experiments the dot is excited using diode lasers operating at 850 nm (resonant with InGaAs wetting layer). Nuclear spin polarisation (cooling) is achieved with a circularly polarised high power (≳100 times the power of ground state exciton saturation) laser, with typical pump pulse duration of TPump ≈ 8 s. A short (TProbe ≈ 10 ms) low power (approximately corresponding to ground state exciton saturation) probe pulse is used to excite PL, which is then analysed on a double grating spectrometer to derive the hyperfine shifts Ehf in the splitting of a QD Zeeman doublet. The relaxation of the nuclear spin polarisation is derived by measuring Ehf in the probe as a function of delay TDark between the pump and the probe. The resulting Ehf(TDark) dependencies (e.g. Fig. 1f) are fitted with stretched or compressed exponentials \(\propto\! {{\rm{e}}}^{-{({T}_{{\rm{Dark}}}/{T}_{1,{\rm{N}}})}^{\eta }}\), where η is the parameter describing stretching (η < 1) or compression (η > 1).
In ResFl experiments the dot is excited with a linearly polarised single-mode tunable diode laser. The scattered laser is rejected using cross-polarised detection46, and the collected fluorescence is directed to an avalanche photodiode detector, whose photon-counting pulses are measured with a pulse counter and a digital oscilloscope. Typical linewidths measured in continuous excitation ResFl spectra on a negatively charged trion are ≈0.5 GHz at low power (non-saturating excitation). Electron spin initialisation at finite magnetic field is witnessed through ResFl intensity IResFl, which is significantly reduced when electron is initialised into the \(\left|\downarrow \right\rangle\) state, taking the dot out of resonance with optical driving of the \(\left|\uparrow \right\rangle \leftrightarrow \left|\uparrow \downarrow \Uparrow \right\rangle\) transition (compare squares and circles with triangles in Fig. 2a). Electron spin relaxation is accelerated and spin shelving is destroyed when the bias is tuned to the level where Fermi reservoir is resonantly tunnel-coupled with 1e (VS ≈ 0.1 V in Fig. 2a) or 2e (VS ≈ 0.33 V in Fig. 2a) quantum dot state, resulting in two peaks in the IResFl(VS) dependence (squares and circles in Fig. 2a).
In electron spin dynamics measurements pulsing of the resonant laser is achieved with acousto-optical modulators providing on/off ratio better than 107. The power of the pump and probe pulses is close to ResFl saturation conditions and typical duration is TPump ≈ TProbe ≈ 5–10 μs, which is significantly longer than the spin pumping time. As a result, time-resolved ResFl exhibits short pulses (Fig. 1d) with amplitudes IResFl,Pump and IResFl,Probe. At the start of each measurement cycle, and prior to optical pump pulse, the bias is adjusted for resonant electron tunnelling in order to counteract optical nuclear spin pumping and depolarise the electron (see further details in Supplementary Note 1). The rising edge of the fluorescence pulse corresponds to the rise time of the laser intensity in a pulse that pumps the initially depolarised electron. The exponentially decaying falling edge of the fluorescence pulse traces the gradual shelving (initialisation) of the dot into the \(\left|\downarrow \right\rangle\) electron spin state. The loss of electron spin polarisation during the delay TDark results in partial recovery of the fluorescence intensity measured in the probe pulse. The residual polarisation Pe (i.e. electron spin polarisation at the start of the probe normalised by polarisation at the end of the pump pulse) is then derived as Pe = (IResFl,Pump − IResFl,Probe)/IResFl,Pump. This way complete loss of electron polarisation (Pe = 0) is observed as IResFl,Probe = IResFl,Pump, while IResFl,Probe = 0 implies no loss (Pe = 1) or Auger recombination that empties the dot. By measuring Pe at different TDark the decay of electron spin polarisation is obtained as shown in Fig. 1e by the symbols.
Unless stated otherwise, all error estimates in the text and error bars in figures are 95% confidence intervals.
Modelling of the electron spin relaxation dynamics
We simulate the dynamics of the four-level system shown in Fig. 1b using a simplified noncoherent rate equation model. The relaxation rates of all possible transitions are shown in Fig. 1b, and when resonant optical pumping is present we add a transition \(\left|\uparrow \right\rangle \to \left|\uparrow \downarrow \Uparrow \right\rangle\) with rate P. We assume symmetric rates in electron spin flips \(\left|\uparrow \right\rangle \leftrightarrow \left|\downarrow \right\rangle\), which is justified when electron Zeeman energy is smaller than the thermal energy kBθ. The system of first-order differential rate equations is
In simulations we set γR = 109 s−1, which is typical for InAs/GaAs QDs47. In order to simulate the pump-delay-probe experiment we use initial population probabilities \(({p}_{\left|0\right\rangle },{p}_{\left|\uparrow \right\rangle },{p}_{\left|\downarrow \right\rangle },{p}_{\left|\uparrow \downarrow \Uparrow \right\rangle })=(0,1/2,1/2,0)\), and propagate the equations numerically over pump pulse (with P ≠ 0), dark delay (P = 0), and probe (P ≠ 0). The values of γA, P, β, r, ξ↑↓ are used as fitting parameters. The evolution of the trion state population \({p}_{\left|\uparrow \downarrow \Uparrow \right\rangle }(t)\) reproduces the experimentally measured time-resolved ResFl (e.g. Fig. 1d). The simulated \({p}_{\left|\uparrow \downarrow \Uparrow \right\rangle }(t)\) traces are integrated over pump and probe intervals and are used to calculate the residual electron polarisation Pe in the same way IResFl,Pump and IResFl,Probe are used to calculate Pe from experimental data (e.g. Fig. 1e). The fitting parameters are adjusted to achieve two-objective optimisation: one objective is to minimise the root mean square difference between simulated and experimental Pe(TDark) traces, the other objective is to match the characteristic exponential time in the falling edge of the ResFl intensity produced by the pump pulse. An example of the Pareto-optimal fitted Pe(TDark) is shown by the dashed line in Fig. 1e, in good agreement with experiment (squares). The calculated falling edge time (87 ns) is also in good agreement with the experimental value ≈91 ns.
From fitting we find r ≈ 1.26 × 105 s−1 (95% confidence interval [0.47 × 105 s−1, 3.34 × 105 s−1]) and ξ↑↓ ≈ 1.65 s−1 [1.16 s−1, 2.34 s−1], which correspond to the characteristic timescales of the fast and slow components, respectively, in the two-stage decay (squares in Fig. 1e). For Auger rate we obtain γA ≈ 1.09 × 107 s−1 [0.66 × 107 s−1, 3.11 × 107 s−1]. This is approximately five times higher than γA ≈ 0.23 × 107 s−1 reported previously from time-resolved ResFl experiments21. The discrepancy could be due to the difference in QD structures, high optical pump power used in our experiments, limitations of a non-coherent rate equation model, and uncertainty in the fitted parameters. The uncertainty is increased by the interdependence of the fitting parameters γA, P, β, r, ξ↑↓, which is inevitable since five parameters are used to fit essentially four degrees of freedom (fast and slow rates of the two stage Pe(TDark) decay, Pe following fast decay and the characteristic time of the falling edges in fluorescence pulses). This uncertainty can also be understood to arise from the limited information provided by the ResFl measurement, which does not distinguish between spin shelving into the \(\left|\downarrow \right\rangle\) state and Auger recombination into the \(\left|0\right\rangle\) state, restricting the ability to monitor the full dynamics of the four-level system. The remaining best fit values are P ≈ 2.5 × 109 s−1 [0.34 × 109 s−1, 3.16 × 109 s−1] and β ≈ 5.2 × 10−3 [0.75 × 10−3, 20.1 × 10−3].
Modelling of the nuclear spin relaxation rate
We start by noting that at all magnetic fields used in this study (Bz = 0.15–8 T) nuclear spin relaxation in an empty dot (0e) is at least an order of magnitude slower than at the centre of the 1e charging plateau. (In 0e regime we measure ΓN ≈ 6.0 × 10−4 s−1 at Bz = 0.15 T, which reduces at higher fields below the minimum measurable level of ΓN < 10−4 s−1.) This suggests that electron is the dominant mediator of nuclear spin relaxation in a Coulomb blockade regime (1e). Electron–nuclear coupling is given by the hyperfine Hamiltonian
where the summation goes over all nuclei, Ahf,k is the hyperfine constant of the kth nucleus, \(({\hat{s}}_{x},{\hat{s}}_{y},{\hat{s}}_{z})\) are the components of the electron spin-1/2 operator and \(({\hat{I}}_{x,k},{\hat{I}}_{y,k},{\hat{I}}_{z,k})\) are the components of the spin operator of the kth nucleus. The flip–flop term \(\propto ({\hat{s}}_{x}{\hat{I}}_{x}+{\hat{s}}_{y}{\hat{I}}_{y})\) of this interaction permits spin exchange between nuclear spin I and electron spin s, but at sufficiently large magnetic field, where electron Zeeman energy significantly exceeds nuclear Zeeman and quadrupolar spin splitting, such flip–flops are strongly suppressed. For a depolarised nuclear spin ensemble in an InAs QD, this threshold field would be on the order of 0.03 T, corresponding to statistical fluctuation \(\propto {A}_{{\rm{hf}},k}\sqrt{N}\) of the nuclear hyperfine field acting on the electron. However, in self-assembled QDs the principal strain axis is generally misaligned36,37 from the growth axis z, resulting in nuclear eigenstates which are superpositions of \({\hat{I}}_{z}\) eigenstates. Under these conditions nuclear spin states are mixed by the non-flip–flop part of the hyperfine interaction \({A}_{{\rm{hf}},k}{\hat{I}}_{z,k}{\hat{s}}_{z}\). This noncollinear interaction enables transitions between nuclear spin states \(\left|i\right\rangle\) and \(\left|j\right\rangle\) without transfer of spin to the electron. Using first-order perturbation and Weisskopf–Wigner approximation one arrives to Eq. (2) for nuclear spin relaxation rate between the pair of states \(\left|i\right\rangle\) and \(\left|j\right\rangle\), where we have assumed the same hyperfine constant Ahf,k = Ahf/N for all nuclei.
In order to calculate matrix element Mij of \({\hat{I}}_{z}\) we consider spin I = 3/2 and assume that the principal component of electric field gradient is characterised by quadrupolar shift frequency νQ, and is tilted by angle α from the z-axis. Using first-order perturbation approach we calculate Mij in the opposite limits of small magnetic field (γNBz ≪ νQ, where γN is the nuclear gyromagnetic ratio) and high magnetic field (γNBz ≫ νQ). For each individual nucleus the pair (\(\left|i\right\rangle\), \(\left|j\right\rangle\)) with the largest off-diagonal matrix element is then selected leading to:
For intermediate fields we interpolate the matrix element with a monotonic function: \(| M({B}_{z}){| }^{2}=1/(| M{| }_{{B}_{z}\to 0}^{-2}+| M{| }_{{B}_{z}\to \infty }^{-2})\), and the nuclear spin transition frequency is taken to be \({\nu }_{ij}^{2}={({\gamma }_{{\rm{N}}}/2\pi )}^{2}({B}_{z}^{2}+{B}_{z,\min }^{2})\), where non-zero \({B}_{z,\min }\) reflects the fact that at Bz = 0 the spin states are split by nuclear quadrupolar effects. This model is a simplification since nuclear spin levels (anti)cross38 at Bz ≈ 2πνQ/γN, where nucleus experiences a nearly zero effective magnetic field. The perturbative approach breaks down as Mij is enhanced and νij ≈ 0 at these anticrossing points (typically occurring at Bz ≈ 1 T)37, hence the introduction of \({B}_{z,\min }\) which softens the singularities in Eq. (2). While spin relaxation would be enhanced in such resonant nuclei, it would also prevent their optical polarisation, thus we effectively neglect their contribution to the overall measured nuclear spin decay in our simplified model.
In order to calculate the nuclear spin decay rate according to Eq. (2), we take \({\tau }_{{\rm{e}}}={\varGamma }_{{\rm{e}}}^{-1}\), equivalent to assuming that electron spin flips are the only source of noise acting on the nuclear spins. For Γe we use Eq. (1) taking best fit parameters for each QD sample. Based on NMR spectroscopy of similar QDs36,37, we model strain inhomogeneity within the quantum dot by considering a uniformly distributed quadrupolar shift νQ ∈ [0, 16] MHz with principal axis uniformly distributed on a part of a sphere with α ∈ [0°, 76°]. The large values of α ≈ 76° account for As nuclei, whose quadrupolar shifts are dominated by atomic scale disorder, arising from Ga and In alloying36. The gyromagnetic ratio is also varied uniformly γN/2π ∈ [7.4, 9.2]MHz T−1 to account for five different isotopes48 present in the dot (113In, 115In, 69Ga, 71Ga, 75As). We take \({B}_{z,\min }=0.06\) T and use an average value Ahf = 50 μeV for all the isotopes49. The number of nuclei is taken to be N = 4 × 104. The nuclear spin relaxation rate at a given magnetic field Bz is then calculated by averaging over all parameter distributions to take into account the contributions of the individual nuclei in a QD.
Despite the simplifications, the model is in good agreement with experimental dependence ΓN(Bz) in the tB = 37 nm sample (thin dashed line in Fig. 3a) and tB = 42 nm sample (Supplementary Fig. 2). Qualitative comparison with Eq. (2) is possible in the high field limit where \({\varGamma }_{{\rm{e}}}\propto {B}_{z}^{4}\), \(| {M}_{ij}{| }^{2}\propto {B}_{z}^{-2}\) and \({\nu }_{ij}^{2}\propto {B}_{z}^{2}\) leading to \({\varGamma }_{{\rm{N}}}\propto {\rm{const}}\), which agrees with the weak field dependence observed for all samples at Bz ≳ 4 T. By contrast, at fields Bz ≲ 4 T, nuclear spin relaxation rate is determined by a combination of different factors prohibiting simple analytical description. Better description of the ΓN(Bz) dependence, including the discrepancies with the thick-barrier (tB = 52 nm) sample experiments, would require a more detailed model, which takes into account hyperfine fluctuations unrelated to electron spin flips, contributions of both noncollinear and direct hyperfine interaction, electron–nuclear spin feedback17, quadrupolar anticrossings36,37 of the individual nuclear spin levels and electron-mediated nuclear–nuclear interactions15.
Data availability
The data that support the findings of this study are available from the corresponding authors upon reasonable request.
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Acknowledgements
I.M.G. processed samples into Schottky diodes with input and advice from S. Kumar, B. Royal, I. Farrer, N. Babazadeh, K. Kennedy, A.U., and B. Harrison. E.C. acknowledges P. Patil, I. Farrer and J. Heffernan. Royal Society provided funding support to E.A.C. through University Research Fellowship and grant RGF\EA\180117, and to G.G. and E.A.C. through grant RG150465. Experimental costs were part-funded through EPSRC grant EP/N031776/1.
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G.G., E.A.C. and A.U. developed time-resolved resonance fluorescence techniques. G.G., G.R., and E.A.C. developed nuclear spin lifetime measurement techniques. G.G. and E.A.C. conducted spin lifetime measurements. I.M.G., C.M. and E.A.C. conducted photoluminescence experiments. E.C. grew the samples. G.G. and E.A.C. analysed the data and wrote the manuscript. E.A.C. coordinated the project.
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Gillard, G., Griffiths, I.M., Ragunathan, G. et al. Fundamental limits of electron and nuclear spin qubit lifetimes in an isolated self-assembled quantum dot. npj Quantum Inf 7, 43 (2021). https://doi.org/10.1038/s41534-021-00378-2
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DOI: https://doi.org/10.1038/s41534-021-00378-2
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