Hyperfine-assisted decoherence of a phosphorus nuclear-spin qubit in silicon
Bence Het\'enyi, P\'eter Boross, Andr\'as P\'alyi

TL;DR
This paper investigates the decoherence mechanisms affecting a phosphorus nuclear-spin qubit in silicon, focusing on electric noise sources like phonons and charge noise, and identifies parameter regimes for fast, coherent control.
Contribution
It provides a detailed analysis of electric noise-induced decoherence in electrically controlled nuclear-spin qubits in silicon, guiding optimized nanostructure design for quantum operations.
Findings
Decoherence times are limited by phonons and 1/f charge noise.
Electrical single-qubit operations can be an order of magnitude faster than decoherence.
Dephasing due to 1/f charge noise dominates in optimal parameter regimes.
Abstract
The nuclear spin of a phosphorus atom in silicon has been used as a quantum bit in various quantum-information experiments. It has been proposed that this nuclear-spin qubit can be efficiently controlled by an ac electric field, when embedded in a two electron dot-donor setup subject to intrinsic or artificial spin-orbit interaction. Exposing the qubit to control electric fields in that setup exposes it to electric noise as well. In this work, we describe the effect of electric noise mechanisms, such as phonons and charge noise, and estimate the corresponding decoherence time scales of the nuclear-spin qubit. We identify a promising parameter range where the electrical single-qubit operations are at least an order of magnitude faster then the decoherence. In this regime, decoherence is dominated by dephasing due to charge noise. Our results facilitate the optimized design of…
| Dephasing [Hz] | Relaxation [Hz] | Leakage [Hz] | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1e | |||||||||||||
| 2e | |||||||||||||
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Hyperfine-assisted decoherence of a
phosphorus nuclear-spin qubit in silicon
Bence Hetényi
Institute of Physics, Eötvös University, 1518 Budapest, Hungary
Department of Physics, University of Basel, Klingelbergstrasse 82, CH-4056 Basel, Switzerland
Péter Boross
Institute for Solid State Physics and Optics, Wigner Research Centre for Physics, Hungarian Academy of Sciences, H-1525 Budapest P.O. Box 49, Hungary
András Pályi
Department of Theoretical Physics and MTA-BME Exotic Quantum Phases Research Group, Budapest University of Technology and Economics, 1111 Budapest, Hungary
Abstract
The nuclear spin of a phosphorus atom in silicon has been used as a quantum bit in various quantum-information experiments. It has been proposed that this nuclear-spin qubit can be efficiently controlled by an ac electric field, when embedded in a two-electron dot-donor setup subject to intrinsic or artificial spin-orbit interaction. Exposing the qubit to control electric fields in that setup exposes it to electric noise as well. In this work, we describe the effect of electric noise mechanisms, such as phonons and charge noise, and estimate the corresponding decoherence time scales of the nuclear-spin qubit. We identify a promising parameter range where the electrical single-qubit operations are at least an order of magnitude faster then the decoherence. In this regime, decoherence is dominated by dephasing due to charge noise. Our results facilitate the optimized design of nanostructures to demonstrate electrically driven nuclear spin resonance.
pacs:
I Introduction
The nuclear spin of a phosphorus (P) atom in silicon (Si) is a highly coherent two-level systemKane (1998); Zwanenburg et al. (2013); Steger et al. (2012); Muhonen et al. (2014); Saeedi et al. (2013), and has been used as a qubit in several quantum-information experiments Pla et al. (2013); Freer et al. (2017); Dehollain et al. (2015); Muhonen et al. (2018); Laucht et al. (2015). Single-qubit control of such a nuclear spin have been demonstrated using ac magnetic fields, in the spirit of nuclear magnetic resonancePla et al. (2013); initialization and readout can be performed using the donor electron spinMorello et al. (2010); Pla et al. (2012, 2013).
A recent workBoross et al. (2018) proposes an engineered nanostructure, in which the P nuclear-spin qubit could be efficiently controlled by an ac electric field, offering several practical advantagesBoross et al. (2018); Tosi et al. (2017); Sigillito et al. (2017); Thiele et al. (2014); Godfrin et al. (2017); Tosi et al. (2018), in comparison with the traditionally used ac magnetic field. The proposed setup is a dot-donor structure with two bound electronsLansbergen et al. (2008); Urdampilleta et al. (2015); Harvey-Collard et al. (2017); Rudolph et al. (2016), and the interaction between the control electric field and the nuclear spin is mediated by the interplay of hyperfine interaction and (intrinsic or artificial) spin-orbit interaction. In short, the ac electric field makes the spin of the electrons time dependent, and hyperfine interaction translates the time-dependent electronic spin to a time-dependent Knight field, felt by the nuclear spin due to the hyperfine interaction. Hence, the system of the two electrons functions as a transducer, converting the ac electric field to an effective ac magnetic field for the nucleus.
The above mechanism is useful for electrical control, but it also exposes the nuclear-spin qubit to decoherence due to electric fluctuations. In this work, we describe two electrical noise mechanisms, phonons and charge noise, in the setup described above. Our goal is to estimate the corresponding decoherence time scales of the nuclear-spin qubit. We identify a promising parameter range where the electrical single-qubit operations are at least an order of magnitude faster than the decoherence, and the latter is dominated by dephasing due to charge noise. Our study complements earlier theory works where the decoherence of electron-spin and flip-flop qubits in the dot-donor system were describedTosi et al. (2017); Boross et al. (2016); Huang and Bryant (2018).
The rest of the paper is organized as follows. In Section II, we introduce the model of the dot-donor setup, and describe dephasing of the nuclear-spin qubit due to charge noise, which is the dominant information-loss mechanism in the considered range of parameters. Even though having two bound electrons in the dot-donor system has definite advantages over having only a single electron, we also discuss the latter case, for completeness and because of its conceptual simplicity. In Section III, we analyse qubit relaxation processes and leakage from the qubit subspace due to charge noise. In Section IV, we describe how phonons contribute to relaxation and leakage. Estimates of time scales for the various setups and mechanisms are collected in Table 1. A few remarks are made in Section V, and conclusions are drawn in Section VI.
II Nuclear-spin dephasing due to charge noise
In this section, we introduce the P:Si nuclear-spin qubit and the special dot-donor setup that enables its electrical control. We discuss two different arrangements:Boross et al. (2018). Single-electron setup (1e): A single electron is confined in the dot-donor system. This brings the advantage of conceptual simplicity, but the quality of electric control suffers strongly from electrical noise. Two-electron setup (2e): Two electrons are confined in the system, allowing for efficient electrical control even in the presence of realistic charge noise. Our main goal then is to describe the dephasing of the nuclear-spin qubit due to charge noise in both setups, to calculate the dephasing time , and to identify a parameter range where the dephasing time is longer than the time scale of single-qubit operations. This is indeed possible for the 2e setup, as revealed by the last line of Table 1: the estimated dephasing rate for that particular working point is kHz, whereas the Rabi frequency characterizing the operation time scale is kHz.
II.1 Nuclear-spin qubit with a single donor electron
The setup is shown in Fig. 1. A P atom (red sphere) is embedded in a Si crystal, at distance from the interface with an insulating barrier (e.g. SiO2). The barrier separates the bulk Si from the gate electrode, the latter being used to control the position of the donor electron. An ac component of the voltage on the gate electrode can be used to electrically drive the nuclear-spin qubit; note, however, that in this work we consider only the non-driven case, when the gate voltage is dc.
At low temperature and zero gate voltage, there is a single electron bound to the donor nucleus. A finite dc gate voltage creates an electric field \text{\boldmath{E}}(\text{\boldmath{r}}) in its vicinity. When this electric field is pulling the electron toward the gate strongly enough, then the electron is removed from the donor and sticks to the interface with the barrier, where it is trapped in a quantum-dot-like confinement potential created by the gate electrode. Under certain conditionsTosi et al. (2017), there is a finite gate-voltage value which ensures that half of the electronic wave function is localized on the donor, and the other half is at the interface; this situation is depicted in Fig. 1a, where the gray cloud corresponds to this ‘split’ wave function resembling a bonding state in a diatomic molecule. We refer to this setting as the ionization pointTosi et al. (2017).
If the gate voltage is tuned to the vicinity of the ionization point, then the ‘orbital’ or ‘charge’ degree of freedom of the electron can be described using the two localized orbitals and ; the former is the one localized at the interface, the latter is the one localized on the donor. Then, the effective Hamiltonian that describes the charge in the vicinity of the ionization point can be written asTosi et al. (2017)
[TABLE]
where is the on-site energy difference between the interface and donor orbitals (controlled by the gate voltage), is the tunnelling amplitude, and the Pauli matrices are defined in the basis above, e.g. as . We denote the eigenstates of as and , as a reference to the anti-bonding (higher-energy) and the bonding (lower-energy) state. Note that a low-energy excited orbital, i.e., the valley pair of , is available at the interfaceTosi et al. (2017); Harvey-Collard et al. (2017); Huang and Bryant (2018), with an excitation energy varying from a few tens to a few hundreds of microelectronvolts. We disregard this state in our minimal model, assuming that its excitation energy is much larger than the tunnel coupling.
The two-dimensional minimal model for the electron charge, introduced above, has to be extended with the electronic spin and nuclear spin degrees of freedom, yielding an Hamiltonian
[TABLE]
This incorporates the effects of the homogeneous static magnetic field (), hyperfine interaction between the electronic and nuclear spin (), and intrinsic or artificial spin-orbit interaction (). In this work, we consider artificial spin-orbit interaction and neglect the intrinsic mechanism (see Section V for a discussion). More precisely, we assume the presence of an inhomogeneous magnetic field along x, (see Fig. 1a), where the origin of the axis is chosen halfway between the charge centers of the and orbitals. Then, the Hamiltonian terms read
[TABLE]
where is the hyperfine coupling strength, while and are the electron and nuclear gyromagnetic factors. Furthermore, \text{\boldmath{B}}=(0,0,B) is the homogeneous magnetic field, the operator is the occupation number of the donor site, \text{\boldmath{S}}=(S_{x},S_{y},S_{z}) is the spin of the donor electron, and \text{\boldmath{I}}=(I_{x},I_{y},I_{z}) is the nuclear spin of the P atom. We will denote the eigenstates of () as and ( and ).
Below, we will obtain analytical results for various physical quantities using perturbation theory. In those calculations, the unperturbed Hamiltonian is chosen as , whereas the perturbation is . Above, is the ‘secular’ or ‘diagonal’ part of the hyperfine interaction. We call the eigenstates of unperturbed states. These are product states formed from the previously defined charge and spin states, and therefore we denote them as, e.g., . As long as the perturbation matrix elements between the unperturbed states are weak, the eigenstates of can be labelled with the same labels, such as .
For a particular parameter set studied in Ref. Boross et al., 2018, the energy eigenstates of are shown as the function of the on-site energy difference in Fig. 1b. The basis states of the nuclear-spin qubit are those with the two lowest energies and , highlighted by the zoom-in in Fig. 1b, denoted as and .
II.2 Nuclear-spin dephasing due to 1/f charge noise
Our goal here is to focus on the nuclear-spin qubit, and describe the information-loss mechanisms arising from its interaction with electrical fluctuations. Recent experimentsFreeman et al. (2016); Yoneda et al. (2018) on state-of-the-art silicon quantum devices have shown pronounced significance of charge noise. By comparing various information-loss mechanisms, we will conclude that the most relevant one is dephasing due to charge noise.
To describe dephasing, in this section, we treat the charge noise as a time-dependent on-site energy difference between the interface and the donor felt by the electron. Correspondingly, the noise Hamiltonian reads
[TABLE]
We describe the dynamics of the nuclear-spin qubit under the influence of this noise using the effective qubit Hamiltonian, obtained by projecting the total Hamiltonian on the qubit subspace:
[TABLE]
where , and the qubit Larmor frequency , the longitudinal matrix element , and the transverse matrix element , are defined via
[TABLE]
Furthermore, the Pauli matrices are defined in the two-dimensional qubit subspace, e.g., . In general, both the longitudinal and transverse matrix elements are finite. However, for describing dephasing, it is a good approximation to disregard in our setup, and keep only ; this is what we do from now on. The validity of this approximation is discussed in section V.
We assume that the noise is classical, GaussianMakhlin et al. (2003); Kogan (1996) and has the power spectrumPetit et al. (2018); Freeman et al. (2016); Jung et al. (2004); Dekker et al. (1991)
[TABLE]
where the overline denotes the average over the noise realizations, denotes the overall strength of the noise, is the Boltzmann constant, and is the temperature. From the analysis of Refs. Tosi et al., 2017 (Ref. Yoneda et al., 2018), we estimate (), see Appendix A. In what follows, we will take the greater value for to obtain quantitative results.
In the description of dephasing due to noise, the experimental integration time is often taken into accountMakhlin et al. (2003). For example, the decay of the qubit polarization in a Ramsey-type experimentPla et al. (2013) is inferred by doing many measurement cycles: there are many grid points along the waiting-time axis, and for each waiting time, many measurement cycles are carried out to obtain reliable statistics. The integration time is the total time required to carry out all these measurement cycles; in our estimates, we will assume that the order of magnitude of this integration time is a second. The finite integration time implies that the slow noise components, i.e., those that can be regarded constant during the integration time, will not be able to influence the experiment. This argument implies that dephasing is insensitive to the low-frequency part of the noise spectrum, that is, the part of the spectrum below the integration frequency can be neglected.
With the above assumptions, dephasing can be characterized by an approximately Gaussian decayMakhlin et al. (2003), i.e., the length of the qubit polarization vector decays in time as , with the inhomogeneous dephasing rate given by
[TABLE]
where we have introduced . The energy scale can be expressed from the above numerical estimate of the noise strength ; assuming mK, we find . Note that a necessary formal condition for the approximations leading to Eq. (8) is . In practice, this condition always holds (as long as this is the dominant dephasing mechanism), since it is translated by Eq. (8) to , and the latter holds because in any reasonable dephasing-time measurement, the integration time is orders of magnitude larger than the dephasing time itself.
We evaluate the result Eq. (8) for a particular parameter set (see Table 1) using the nuclear-spin basis states obtained by the numerical diagonalization of of Eq. (2) and the subsequent evaluation of from Eq. (6b). Our numerical estimate for this particular working point is , a rate that is much larger than the esimated electrically induced Rabi frequency kHz at this working point. (For the Rabi frequency estimate, see Ref. Boross et al., 2018.) This is a strong indication that the nuclear spin cannot be used as a qubit in this working point. One way to make this a useful qubit is to reduce the strength of noise by at least 4 orders of magnitude.
The reason for this strong dephasing is as follows. Recall that the working point studied here is the ionization point. Here, a weak electrical perturbation can displace the electron along the dot-donor (y) direction very effectively, which implies a significant change in the electron density on the donor, which in turn implies a significant change in the Knight shift felt by the nuclear spin. This mechanism was implicitly quantified already in Eq. (5) of Ref. Boross et al., 2018, see the third component of \text{\boldmath{b}}_{\text{ac}} therein.
II.3 Nuclear-spin qubit and its dephasing with two donor electrons
In contrast to the 1e setup showing poor coherence properties, much improvement is anticipated for the 2e setupBoross et al. (2018). Importantly, silicon-based dot-donor devices holding an even number of electrons are available experimentallyHarvey-Collard et al. (2017, 2018). Here we introduce the model Hamiltonian for this system following Ref. Boross et al., 2018, recall how electrical control of the nuclear-spin qubit is envisioned, and determine the dephasing rate of the nuclear-spin qubit due to charge noise.
The two electrons in the dot-donor system can fill the orbitals and , both providing two sublevels due to the electron spin. This implies that there are six two-electron states to take into account in a minimal model. We use the standard basis set , , , , , . Here, the first [last] element is the spin singlet state in which both electrons are localized at the interface [donor], also referred to as the (2,0) [(0,2)] charge configuration. Furthermore, the remaining four states are the standard singlet and triplet states in which one electron is localized at each site, also referred to as the (1,1) charge configuration.
We assume that the on-site Coulomb repulsion between the electrons ( meV) is much larger then the tunnel coupling (eV). In the 2e setup, we consider the case when the on-site energy difference is set such that on-site energies of the four (1,1) states and the single (0,2) state are close to each other, and we restrict our attention to the dynamics in this low-energy electronic subspace. That is, we neglect the high-energy state, and model the system by a ten-dimensional Hamiltonian, using the five electronic and the two nuclear-spin basis states.
The Hamiltonian describing this arrangement is the two-electron version of the single-electron Hamiltonian introduced in Eq. (2). The terms which are different from the single-electron case read:
[TABLE]
where is the energy detuning measured from the tipping point . Each terms above acts as the identity on the nuclear spin. Furthermore, the hyperfine Hamiltonian takes the form
[TABLE]
Note that in Eq. (10), we have corrected a few typos that appeared in Eq. (A2b) of Ref. Boross et al., 2018.
Following the 1e case, it is useful to introduce the anti-bonding and bonding singlet energy eigenstates of , i.e., the molecular states formed by and , which we will denote as and , respectively.
We plot the ten energy eigenvalues of this model in Fig 1c, as a function of the detuning parameter , for homogeneous magnetic field , tunnelling amplitude , magnetic-field gradient , and donor-interface distance . Here again, we define the nuclear-spin qubit basis states as the lowest-energy eigenstates: and .
Before presenting our results for the dephasing time caused by charge noise, we recall that an important energy scale for the nuclear-spin qubit is the energy gap between the electronic states and , see Fig. 1c. We denote the value of this gap at zero detuning , as obtained from the electronic Hamiltonian , by . It can be expressed as
[TABLE]
To ensure that the nuclear-spin qubit dynamics upon electrical drive follows regular and fast Rabi oscillationsBoross et al. (2018), it is reasonable to set the value of much larger than the coupling matrix element induced by the inhomogeneous magnetic field between the electronic states and . This relation is satisfied, e.g., with the choice . The parameter values given above satisfy this relation, since they correspond to and .
In the 2e setup, the noise Hamiltonian, derived from its 1e counterpart in Eq. (4), reads
[TABLE]
Projecting the total Hamiltonian onto the two-dimensional subspace of the nuclear-spin qubit, as done for the 1e case in Eq. (5), we obtain the right hand side of Eq. (5) with the following identifications:
[TABLE]
We obtain the dephasing rate from Eq. (8), after evaluating the longitudinal matrix element in Eq. (13b) with the numerically obtained energy eigenstates and . For the above parameter values, we find , see Table 1. Note that this rate is significantly smaller than the Rabi frequency in Table 1 (estimated in Ref. Boross et al., 2018), suggesting that the nuclear spin can be used as a functional qubit in this setting.
Now, we argue that this dephasing is a consequence of the hyperfine interaction, and not influenced significantly by the inhomogeneous magnetic field. This is revealed by a perturbative approach that yields the analytical result for the longitudinal coupling strength
[TABLE]
with and correspondingly, in the working point defined above. The result (14) depends on the hyperfine coupling strength , but does not depend on the magnetic-field gradient .
To obtain Eq. (14), we take as the unperturbed Hamiltonian, take as the perturbation, and neglect the small term for simplicity. Then, we apply time-independent third-order perturbation theory to calculate the perturbation-induced change in the energy splitting of the nuclear-spin qubit states and . According to Eq. (5), we identify this change with , express , and use to obtain Eq. (14).
The perturbative result (14) for dephasing mechanism is visualized in the level diagram shown in Fig. 3. The blue horizontal lines depict the energy levels of the unperturbed Hamiltonian. Arrows represent relevant perturbation matrix elements that contribute to dephasing. In the third-order formula (14), each of the four terms can be associated to a three-step loop drawn by the perturbation matrix elements. For example, the loop corresponding to the first term is .
To extend the perturbative formula (14) of for the case of non-zero , we use the exact eigenvalues and eigenstates of (9a), yielding
[TABLE]
where . In comparison to Eq. (14), the energy denominators are different in (15). The prefactor in Eq. (15) depends on the squared detuning parameter , i.e., this prefactor is suppressed if we move away from the working point from either to the positive or negative direction. For the negative [positive] direction, this dephasing suppression is dominated by the feature that the electronic state acquires a growing weight in the (1,1) [(0,2)] charge configuration, and hence gets less affected by noise (hyperfine interaction).
In Fig. 2a, we plot the numerically calculated dephasing rate as a function of the energy detuning and the magnetic field . In the figure, the above working point is denoted by an ‘x’. Note that in the figure, the tunnel matrix element is changed together with the magnetic field such that is kept fixed, see Eq. (11). The most relevant features in Fig. 2a are as follows.
(i) For T, the dephasing rate decreases as the energy detuning increases, and the dephasing rate is hardly dependent on the magnetic field. (ii) These trends are confirmed by the perturbative result (15). For example, a comparison of the numerical and perturbative result, along a horizontal cut of Fig. 2a containing the working point ‘x’, is shown in Fig. 2b. Using Eq. (15), we can explain that the decreasing trend of the dephasing rate with increasing energy detuning is mostly due to the increasing energy gap between the electronic singlet ground state and the electronic excited states, cf. Fig. 1c. (iii) For magnetic fields much weaker than the working point value, the dephasing rate does depend significantly on . This regime is beyond the validity of the perturbative result (15) due the smallness of the magnetic field.
In conclusion, we have evaluated the inhomogeneous dephasing rate of the nuclear-spin qubit for a P:Si 1e and 2e dot-donor setup subject to (artificial) spin-orbit coupling, and identified a parameter range for the 2e setup where the dephasing time is much longer than the time required for single-qubit operations.
III Relaxation and leakage due to 1/f charge noise
Besides dephasing discussed above, the presence of charge noise also opens up channels for information loss. Here, we focus on the 2e setup, and describe two types of inelastic processes caused by charge noise, see Fig. 4. First, we consider inelastic processes between the two qubit basis states, denoted as and in Fig. 4, to be referred to as relaxation. Second, we consider inelastic processes that bring the system from one of the qubit basis states to a state outside the qubit’s Hilbert space, to be referred to as leakage, shown as and in Fig. 4. Our conclusion is that the time scales of these processes in the vicinity of the working point are much longer than the dephasing time derived in the previous section, hence they hardly affect the functionality of the nuclear-spin qubit.
We use the qubit Hamiltonian of Eq. (5) to describe the relaxation processes, with the adjustment that is treated now as an operator representing the environment producing the noise. Recall that the longitudinal and transverse coupling matrix elements and are evaluated for the 1e [2e] setup via Eq. (6) [Eq. (13)]. According to Bloch-Redfield theoryMakhlin et al. (2003), the downhill and uphill relaxation rates are given by
[TABLE]
Here, is the temperature-dependent Bose-Einstein function, and is the symmetrized noise power spectrum of the operator , which is given by the same formula (7) as in the classical case.
For the 2e setup, the numerical values of the -induced relaxation rates of the nuclear-spin qubit are around 1 Hz, see Table 1. This implies that relaxation due to noise is much less relevant than dephasing. Note that the uphill and downhill relaxation rates are almost the same, in line with the fact that the thermal frequency scale well exceeds the qubit splitting in this point.
The transverse matrix element can be obtained from perturbation theory similarly as in the case of dephasing.
One possible way for the derivation is to apply quasiquasidegenerate perturbation theoryWinkler (2003) to obtain an effective Hamiltonian for the nuclear-spin qubit subspace, identify the off-diagonal element of that Hamiltonian with according to Eq. (5), and express from that equation. From this approach, for the tipping point , we obtain
[TABLE]
The value obtained from this formula is , in good agreement with the numerical result .
The perturbative contributions can again be visualized by drawing the perturbation matrix elements as steps between the energy levels of the unperturbed Hamiltonian; this is shown in Fig. 5. The four terms in the perturbative formula (17) correspond to six three-step paths in Fig. 5 connecting the two qubit basis states. For example, the first term of (17) corresponds to the path . As seen in Fig. 5, all three-step paths connecting the two qubit basis states contain one hyperfine matrix element and one inhomogeneous magnetic field matrix element (besides one noise matrix element), hence we conclude that relaxation in this case is dominated by the interplay of hyperfine interaction and the inhomogeneous magnetic field.
Leakage rates, i.e., noise-induced transition rates from the nuclear-spin qubit basis states toward higher-lying eigenstates (see Fig. 4), can also be described by the Bloch-Redfield result. For example, the leakage from the qubit ground state has the rate
[TABLE]
Here, the sum goes for the possible higher-lying final states , the matrix element is for the 1e case and for the 2e case, and is the distance between the energies of and . The leakage rate for the qubit excited state is expressed analogously to Eq. (III).
As seen in Table 1, the leakage rates for the 2e setup in the working point are of the order of Hz, slower and hence less significant than the previously considered processes. At this working point, the dominant leakage process from is the one toward . Approximating the leakage-rate sum in Eq. (III) with this single contribution, expressing using perturbation theory, and using the relation , we find
[TABLE]
According to this formula, leakage is dominated by the magnetic-field gradient . Similar considerations lead to , i.e., that the leakage from the excited state has an additional contribution from the hyperfine interaction . These results are in line with the level diagram shown in Fig. 5, where the qubit ground state is hybridized with a single sublevel, whereas the qubit excited state is hybridized with both sublevels.
IV Relaxation and leakage due to phonons
Besides charge noise, phonon absorption or emission can also cause transitions between the energy levels. Here we consider the deformation-potential electron-phonon interaction mechanismHerring and Vogt (1956); Yu and Cardona (2010). This mechanism is enhanced in a silicon dot-donor electron system (compared to, e.g., a double-dot or double-donor setup) due to the different valley compositions of the electronic states in the dot and the donorBoross et al. (2016). For the energy distances considered here, only long-wavelength acoustic phonons have to be considered.
We describe the phonon-mediated inelastic transitions using Bloch-Redfield theory, similarly to the case of charge-noise-mediated transitions in section III. As a natural consequence, the phonon-induced transition rates are related to the charge-noise-induced transitions rates by the relative weight of the noise spectral densities at the transition frequency. For example, the phonon-mediated downhill relaxation rate is
[TABLE]
and analogous relations hold for the phonon-mediated uphill relaxation rate and the leakage rates and , with the caveat that in Eq. (20) has to be replaced with the corresponding transition frequencies.
To obtain the noise spectral density , representing the phonons, one starts from the single-electron electron-phonon interaction HamiltonianBoross et al. (2016) for the dot-donor system:
[TABLE]
where is expressed via phonon creation and annihilation operators in Eqs. (12) and (13) of Ref. Boross et al., 2016. The symmetrized phonon noise density is then expressed as (cf. Eq. (7))
[TABLE]
where the time-dependent operators are defined in the interaction picture, the curly brackets denote the anticommutator, and the overline denotes thermal average for the equilibrium phonon bathClerk et al. (2010).
Equation (22) is evaluated as
[TABLE]
Here, the material-specific parameters for silicon are the uniaxial deformation potential parameter , the mass density , and the longitudinal and transverse sound velocities and .
The results obtained for the charge noise model can therefore be converted to the case of phonon-mediated relaxation and leakage using Eqs. (23) and (20). As seen in Table 1, the phonon-induced relaxation rates are approximately 10 orders of magnitude smaller then the relaxation rates due to charge noise. In contrast, the leakage rates corresponding to processes induced by phonons and charge noise are very similar. We emphasize that all of these leakage and relaxation rates are smaller than the dephasing rate.
V Discussion
Artifical vs intrinsic spin-orbit interaction. Ref. Boross et al., 2016 suggests that electrical control of the nuclear-spin qubit should be possible either by relying on an inhomogeneous magnetic field (artificial spin-orbit interaction), or by relying on intrinsic spin-orbit interaction. In a simple phenomenological picture, spin-orbit interaction can influence the dot-donor system in two ways; both effects have been observed in silicon double quantum dotsVeldhorst et al. (2015); Jock et al. (2018); et al. (a, b). On the one hand, it renormalizes the g-factor (with few percents), potentially making it anisotropic and different at the donor and in the dot. On the other hand, it induces a spin-dependent interdot tunnelling matrix element (few tens of MHz). The consequences of the anisotropic and different g-factors are similar to those of the inhomogeneous magnetic field. The consequences of the spin-dependent tunneling term are expected to be qualitatively different. For example, while the inhomogeneous magnetic field provides matrix elements within the (1,1) charge configuration, e.g., between and (see Eq. (9c)), spin-dependent tunnelling provides a matrix element connecting (1,1) states with . Nevertheless, in the vicinity of the (1,1)-(0,2) tipping point, where the singlet electronic ground state is a balanced superposition of (1,1) and (0,2) charge states, we expect that the dynamics induced by spin-orbit interaction is similar to that induced by an inhomogeneous magnetic field.
Neglecting the transverse noise term in the dephasing model. We calculated the nuclear-spin qubit dephasing time due to charge noise in section II. For the dephasing calculation, we disregarded the transverse noise term with the prefactor . This simplification is justified as long as the noisy component of the Larmor frequency is dominated by the longitudinal component proportional to ; formally, that condition reads . For a rough estimate of the importance of in dephasing, we take eV, yielding for the working point of the 2e setup shown in Fig. 2a, and thereby suggesting that our result is accurate in the vicinity of the working point. Note, however that for low magnetic field, far from the working point, the longitudinal matrix element vanishes, see the horizontal white stripe for in Fig. 2a. In this region, the description of dephasing should be refinedShnirman et al. (2002).
Leakage due to uphill charge transitions. For the 2e setup, we have described information loss at a well-defined working point specified in, e.g., Table 1. Departing from this example working point might provide optimized results for certain target quantities, e.g., the qubit quality factor . We leave such optimization for future work, hopefully aided by input from experiments. Nevertheless, we do emphasize one important feature that arises upon decreasing the tunnel coupling with respect to the working point discussed above. Namely, spin-conserving uphill charge transitions from to can destabilize the qubit if the energy gap between the two electronic states is too narrow. The corresponding leakage rate can be calculated, e.g., from Eq. (16b) by using and . For example, at a relatively low tunnel coupling value GHz, this leakage rate is , and is dominantly induced by charge noise.
VI Conclusions
In conclusion, we consider information-loss mechanisms for an electrically controllable phosphorus nuclear-spin qubit in a silicon nanostructure. We identify a parameter set (working point) where the information-loss time scales are longer than the estimated control time, suggesting that this setup is suited to demonstrate coherent electrical control of a nuclear spin. In this working point, the dominant decoherence mechanism is dephasing due to charge noise. Our results are expected to facilitate the optimized design of nanostructures for quantum information experiments with nuclear-spin qubits.
Acknowledgements.
We thank W. A. Coish, L. Cywinski, P. Harvey-Collard, V. Srinivasa for useful discussions. This research was supported by the National Research Development and Innovation Office of Hungary within the Quantum Technology National Excellence Program (Project No. 2017-1.2.1-NKP-2017-00001), and Grant 124723. A. P. was supported by the New National Excellence Program of the Ministry of Human Capacities.
Appendix A Estimate of the strength of the charge noise
In this appendix, we provide the details on how we estimated the strength of the charge noise, as defined in Eq. (7).
Our first estimate is based on Ref. Tosi et al., 2017, which provides a realistic characterization of the power spectrum of electric-field fluctuation in silicon-based nanostructures similar to the one considered in the present work. Namely, at mK, they use the electric-field noise spectrum
[TABLE]
with . This is converted to on-site energy fluctuation via , where is the distance between the charge center of the interface-bound charge state and the charge center of the donor-bound charge state . Using this result for , Eq. (7) as a definition for , and the parameter values and , we can express , as quoted in the main text below Eq. (7).
Our second estimate is based on the recent electron spin qubit experiment reported in Ref. Yoneda et al., 2018. Their Fig. 4b shows the spectral density of the fluctuations of the spin-qubit Larmor frequency . From that log-log plot, we can read off that the data is well described by the relation , where , and . This is directly converted to
[TABLE]
Ref. Yoneda et al., 2018 uses a simple model that establishes a linear relation between the qubit Larmor frequency fluctuation and the quantum-dot on-site energy fluctuation , . This implies that the on-site energy fluctuation is characterized by the spectral density
[TABLE]
which, together with our Eqs. (7) and (25), yields
[TABLE]
To obtain an estimate for our target quantity , we need to express first. To this end, we use the model of Ref. Yoneda et al., 2018, which is based on the physical picture that the noise is caused by fluctuating charge traps, located at a typical distance from the center of the quantum dot. Within their model, the scaling factor is given by
[TABLE]
Here, is the relevant conduction-band effective mass in silicon, is the orbital level spacing of the quantum dot, is the effective electronic g-factor, and is the micromagnet-induced gradient of the longitudinal magnetic field. Using Eqs. (25) and (28) in Eq. (27), and inserting the parameter values , , , and , we obtain the value , as quoted in the main text below Eq. (7).
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