# Probing a composite spin-boson environment

###### Abstract

We consider non-interacting multi-qubit systems as controllable probes of an environment of defects/impurities modelled as a composite spin-boson environment. The spin-boson environment consists of a small number of quantum-coherent two-level fluctuators (TLFs) damped by independent bosonic baths. A master equation of the Lindblad form is derived for the probe-plus-TLF system. We discuss how correlation measurements in the probe system encode information about the environment structure and could be exploited to efficiently discriminate between different experimental preparation techniques, with particular focus on the quantum correlations (entanglement) that build up in the probe as a result of the TLF-mediated interaction. We also investigate the harmful effects of the composite spin-boson environment on initially prepared entangled bipartite qubit states of the probe and on entangling gate operations. Our results offer insights in the area of quantum computation using superconducting devices, where defects/impurities are believed to be a major source of decoherence.

###### pacs:

03.65.Yz, 03.67.-a, 85.25.Cp^{†}

^{†}: New J. Phys.

## 1 Introduction

Superconducting qubits [1] consist of electronic nanocircuits embedding Josephson junctions whose dynamics can, in certain parameter regimes, be restricted to a two-dimensional manifold. These qubits can be used as test-beds for studying quantum mechanics at its most fundamental level [2], and are also potential candidates for the practical implementation of quantum information processors [3].

An interesting and challenging aspect of these endeavours is the process of decoherence, whereby qubits lose their quantum-mechanical nature and are rendered dynamically equivalent to their classical two-level counterparts. In the case of a superconducting charge qubit, such as the Cooper-pair box (CPB), dephasing (phase decoherence) is dominated by low-frequency noise thought to be caused by interactions with two-level fluctuators [4, 5, 6, 7] (TLFs) in the local environment. These TLFs may be charge traps caused by defects/impurities in the Josephson junction or in the substrate. There has been a substantial amount of research on TLFs causing single qubit decoherence in Josephson junction systems. Theoretical works have concerned larger ensembles of TLFs, both incoherent [8, 9, 10, 11, 12, 13, 14] and coherent [5], that randomly switch between two configurations, producing low-frequency fluctuations in the relevant qubit parameters. As discussed in detail in all these works, whenever a large number of TLFs are very weakly coupled to the qubit, their effect can be described by a conventional boson bath with a suitable chosen spectral density. This is however not always the case — there may be situations when only one or a few impurities are important. Indeed, Neeley, et al[6] have demonstrated the existence of coherent TLFs. Lupaşcu, et al[7] provide evidence that these TLFs are in fact genuine two-level systems. In Neeley’s experiment [6] a single TLF that was coupled to the qubit led to an avoided crossing in the qubit energy spectrum. The TLF was used as a proof-of-principle memory qubit, but such TLFs will in general be detrimental to the operation of superconducting qubits. It is therefore desirable to understand the behaviour of TLFs in the vicinity of superconducting qubits in order to better-equip quantum information scientists to manage the challenge of decoherence.

In view of its importance for understanding decoherence in superconducting nanocircuits we study in this paper the effect that a few underdamped, coherent TLFs have on the quantum dynamics of a charge qubit. A single qubit coupled to a single coherent TLF, that was in turn (under-)damped by a bosonic bath was already considered in [15]. We find this type of non-equilibrium environment [16] to be an appealing model of the environment of a Josephson junction qubit because TLFs may be damped by phonons in the substrate, for example. We refer to this as a composite spin-boson environment. The case of a few TLFs, which will be considered here, is rather complex and therefore we resort to extensive numerical calculations. Our approach represents quite a general strategy for probing a composite spin-boson environment, whereby we derive a Markovian master equation for the average dynamics of the probe+TLFs after tracing out the external baths. To allow for the random nature of TLF formation, we select the TLF Hamiltonian parameters according to probability distributions designated in [5]. Of the many environmental properties that could be studied in this scenario, we focus on inferring the presence or absence of coherent coupling between the TLFs. This connectivity of the TLFs has been identified as important in the decoherence of a bipartite qubit system [17], with further-reaching importance for quantum computing.

Performing a more thorough treatment of this situation is increasingly important in light of recent experiments [6, 7] involving superconducting qubits coupling predominantly to only a small number of TLFs. In these experiments, measurements on the qubit were used to infer properties of the TLF (although that wasn’t the focus in [6]). That is, the qubit was used as a probe of the environment [18, 19]. Probing properties of a small collection of TLFs, such as whether or not they interact with each other, necessitates consideration of the full dynamics of the probe plus TLFs under the influence of external baths.

From the theory point of view, identifying structural properties in the environment could be done using some form of noise correlation measurements. Here we focus on inferring environmental features via the analysis of the entanglement that will build up in a probe consisting of two non-(directly) interacting qubits whose remote coupling is mediated by the TLFs present in the surroundings. When the probing is ”local”, so that each probe qubit couples to just one single TLF, the absence of quantum correlation generation would immediately signal a non-connected environment, given that the probe qubits can only become entangled if the fluctators would couple to each other. Entanglement swapping in those circumstances has been discussed in the literature [20, 21, 22]. When probe qubits are subject to the action of a few TLFs, as it happens in qubit realizations in the solid state, we will show that the remote entanglement in the probe bears signatures that can be linked to the connectivity in the environment and can in some cases be related to monogamy constraints [23]. Given that bipartite entanglement has been shown [24] to be lower-bounded by combinations of pseudo-spin observables, we also analyze what information can be extracted from magnetization measurements along a given direction (in the case considered here the magnetization along the z-direction corresponds to the average charge) and study the power spectra of magnetization observables using both single and bipartite probes. We find that a double-qubit probe generally outperforms a single-qubit probe, a result that could perhaps be expected given the extra degrees of freedom available in the composite system. We supplement our analysis of correlation measurements by investigating the decoherence of composite probes initially prepared in a certain maximally entangled state when subject to a composite spin-boson environment, as well as the performance of entangling gate operations when performed in the presence of this type of noise.

The paper is organized as follows. Section 2 sets the scene by describing our model for the double-qubit probe and spin-boson environment. A detailed derivation of the proposed master equation as well as a discussion of its validity domain are presented in the appendix. Numerical results for probing the connectivity of the spin-boson environment are presented in section 3, using both probe entanglement and estimated power-spectrum analyses. We summarize and discuss these results in section 3.3, as well as compare the double-qubit probe to a single-qubit probe. In section 4 we investigate the decoherence of maximally-entangled Bell states induced by a composite spin-boson environment. The performance of bipartite entangling gates in the presence of this form of noise is analyzed and discussed in section 5. Section 6 concludes.

## 2 System

The system we consider is illustrated in figure 1. It consists of two charge qubits (blue spheres) acting as probes of an environment containing TLFs (grey spheres). Each qubit is coupled to a few TLFs (black lines in the figure) but probe qubits are assumed to not directly couple to each other. In the numerical calculations we will consider the case in which there are four TLFs. Four TLFs is a balance between generating the desired spectral features (requiring an ensemble of TLFs [5, 12]) and maintaining reasonable computation time (smaller Hilbert space). Also, it may be the case that only a few TLFs will couple strongly to a Josephson junction qubit, as in recent experiments [6, 7]. We should stress that the conclusions of our work do not depend on this choice.

In the charge basis, each qubit/TLF has a local free Hamiltonian consisting of both longitudinal () and transverse () components: . In the eigenbasis the corresponding pseudo-spin Hamiltonians are , where the spin frequency is . (Throughout this article we denote Pauli operators in the charge basis by , and in the pseudo-spin basis by .) For simplicity, we “engineer” the probe qubit Hamiltonians to have only longitudinal components ().

##### Probe:

We label the identical probe qubits A and B. Choosing uncoupled probe qubits for reasons that will become clear later, the total Hamiltonian for the probe is the sum .

##### Impurities:

We label the four TLF impurities with . The total Hamiltonian for the TLFs is then , where describes coherent couplings between the TLFs, if they exist (defined below). Note that the pseudo-spin basis for the impurities is different to the probe (the axis is rotated relative to ) because the probe and TLF energies will differ, in general. Recent theoretical work [5] suggested specific distributions of these TLF energies in order to account for both low- and high-frequency noise observed in superconducting quantum systems. In our numerical study, we have adopted these distributions to determine the TLF bias energies (linear distribution) and tunnel amplitudes (log-uniform distribution). Throughout the paper we will refer to as the local field. Again, note that our results are independent of the specific choice of frequency distribution and the same qualitative results can be derived when using a different functional form, e.g., a linear or a uniform distribution in a selected interval around the qubit frequency.

##### Interactions:

It is sensible to expect that the dominant interaction in a system of coherent two-level charges is an electrostatic one [10, 25]. That is, charge-charge interactions. We therefore assume bipartite ZZ interactions () between subsystems. Within the TLFs we assume nearest-neighbour ZZ interactions of strength , where . We assume no direct interaction between the probe qubits A and B. So, . For coupling strength between the th impurity and the probe qubits, we have . We define . In the numerical simulations, noting that we expect distant TLFs to have very little impact, we have assumed all couplings and all to avoid unnecessarily cumbersome results. Our conclusions are valid even when small variations in the parameters, of the order of , are considered.

### 2.1 Master equation

The impurities are coupled to independent reservoirs of bosons (e.g., phonons in the substrate), leading to dissipation (damping) as in the spin-boson model [26]. Under appropriate weak-coupling assumptions (see A for our derivation), the dissipative dynamics of the composite system (qubits plus damped TLFs) can be expressed in the following Born-Markov master equation for the joint state of the probe plus impurities:

(1) |

where the total Hamiltonian is

(2) |

The superoperators [27] represent decoherence in the TLFs due to coupling with the bosonic baths, which are at temperature . The decoherence consists of dephasing , emission into the baths , and absorption from the baths . The TLF decoherence rates are proportional to the respective dephasing, emission and absorption rates (see A), which are functions of the temperature and spectral properties of the th bosonic bath (with absorption dramatically reduced at low temperatures). Further, the TLF decoherence rates are also functions of the ratio of local field to bias, [28]. To get a feel for the influence of this ratio, if we assume dissipation-limited dephasing () and sufficiently low temperature (), then dictates the dominance of pure dephasing or relaxation in each TLF. Specifically, so that pure dephasing dominates the TLF decoherence for weak local fields, and relaxation dominates for strong local fields. Following [5], we distribute the random TLF parameters , , and as per the distributions , , . We choose these parameters to take values within the following moderate ranges: ; ; , where is the minimum spin frequency amongst the TLFs. We are free to select sensible values for the overbar quantities and , which we will reference to the tunable probe frequency . Importantly, the TLFs are underdamped (therefore requiring a quantum-mechanical description), so . We take the probe-TLF coupling to be uniform () and weak compared with all of the TLF frequencies: . Our assumption of weak probe-TLF coupling simplifies the master equation derivation significantly (see equation 7; a detailed discussion of an analogous situation can be found in [29]), and is in addition to the standard Born-Markov approximation of weak TLF-bath coupling. Weak probe-TLF coupling is in accord with the recent experiments of [6, 7], as well as the experiment of [4] (see [9]) where MHz and GHz. The TLF-TLF coupling is also assumed to be uniform . Note that the authors of [5] point out that must also be randomly distributed in order to realize noise in the probe. Generating the correct statistics is not within the scope of this paper as we are interested in describing effects when the environment is dominated by only a few fluctuators.

### 2.2 Observable quantities

We restrict our knowledge to the probe subsystem (as would be the case in an experiment). A notable observable quantity on the probe is the magnetization, which is related to a simple sum of Pauli operators: . The appeal of considering the probe magnetization is that it requires only tractable, local measurements on each probe qubit. That is, our results may be easily tested in an experiment. It is worth noting that a result of Audenaert and Plenio [24] shows that measuring correlations along the XX and ZZ ‘directions’ suffice to give a lower bound on the probe entanglement. This can remove the requirement for full tomographic (entanglement) measurements when verifying or quantifying entanglement in the probe.

The time series resulting from measuring the probe’s X-magnetization is . The mean-square power spectrum of is given by

(3) |

where the reduced auto-correlation function is . The angle brackets here denote the expectation value of an operator . In reality, is a discrete quantity (the data is a time series), and so the power spectrum obtained is an estimate (the Fourier transform of the reduced autocorrelation of the time series ). This estimate of average power as a function of frequency can theoretically be improved (by increasing the duration of the experiment, for example), but this may not be practical in reality. Strictly speaking, must be a wide-sense stationary process (time-independent first and second moments) for the power spectrum to exist.

## 3 Results: Detecting the presence of coupling between the TLFs

Can probe observables reveal the degree of connectivity of a composite spin-boson environment? In this section we present numerical results showing that this is indeed the case. Observable quantities we consider are the probe magnetization, its estimated power spectrum, and the remote entanglement between the probe qubits. Entanglement generated between probe qubits that are initially in a separable state is primarily due to the structure of the spin-boson environment (e.g., the presence or absence of TLF-TLF interactions in the surroundings of the probe).

Initially we set the probe to be in a state orthogonal to the eigen-axis: . The TLFs are assumed to be initially in a zero-temperature thermal state, i.e., the ground state of , which we denote as . So, . We plot observable quantities as a function of the ratio of TLF-TLF coupling strength to probe-TLF coupling strength, , which is often believed to be small (see [19], for example).

Section 3.1 considers the estimated power spectrum of . Section 3.2 considers the build up of entanglement in the probe.

### 3.1 Power spectrum of

#### 3.1.1 TLFs with weak local fields.

Consider the case of “weak” local fields in the spin-boson environment where (specifically , where TLF dephasing dominates relaxation: ). In our probing of TLF connectivity, we tune the ratio of probe–TLF splitting to 10, 3 and 1, corresponding to figures 2(a), 2(b) and 2(c), respectively. We observe two effects: 1. For weaker TLF interconnectivity , a decrease is observed in the height of the single dominant peak in the spectrum; 2. For stronger TLF interconnectivity , the spectrum splits into multiple peaks, the most dominant of which is shifted in frequency relative to . This is visible in figure 2 where the gold traces () are the most qualitatively different from the blue traces (). The power in the signal redistributes from one dominant frequency for unconnected TLFs (), to multiple frequencies as approaches unity (highly connected TLFs). Remarkably, the most dominant peak for highly connected TLFs is qualitatively similar to the case of an isolated probe (figure 2(d)) — a single peak at — although the peak visibility (height) is noticeably less than the isolated probe.

#### 3.1.2 Effect of TLF local field.

Above we have established that we can distinguish between highly connected TLFs () and unconnected TLFs () for weak local field strength . It is interesting to ask how stronger local fields affect our ability to distinguish these two values of . To explore this, we increase the ratio of TLF field strength to splitting: , which was less than 1 in figure 2. This varies the range for , which (we remind the reader) we have taken to be . This range ensures a sensible variation in the TLF local field strengths of no greater than one-half of the probe frequency. (We assume that the TLF energies are distributed over a relatively small range as might be expected for systematically formed impurities/defects.)

As the local field increases , two different effects occur: 1. Larger local fields cause relaxation to dominate over dephasing in the TLF decoherence; 2. The TLF eigenstates increasingly align towards the axis, and seem to have a decreasing effect on the probe, perhaps because the interaction is of the type. Evidence to support this is shown in figure 3, which shows a peak visibility (height) reduction of about one order of magnitude as is increased by one order of magnitude from 1/3 to 3 [3(a) to 3(b)]. So, although extra features appear in the power spectrum, they become increasingly difficult to observe. Despite this, there is at least one plot in each column for which and are distinguishable. Thus it is apparent that tuning the probe frequency (selecting a row in figure 3) allows these TLF connectivities to be distinguished for a wide range of values of the TLF local field strength (we obtained similar results for ).

### 3.2 Probe entanglement

Interactions between probe qubits are mediated by the TLFs and entanglement between the probe qubits can be generated in this indirect way. We now consider using the probe entanglement to distinguish between connected and unconnected TLFs. We use the logarithmic negativity as a measure of bipartite entanglement between the probe qubits, defined as [31]

(4) |

where denotes the trace norm, and is the partial transpose of .

#### 3.2.1 TLFs with weak local fields.

Figure 4 shows the logarithmic negativity of for the same data sets as in figure 2 (weak local fields ). We make two observations. Firstly, tuning the probe frequency provides only one benefit for distinguishing from . This is evidenced by the remarkable qualitative similarity between figures 4(a), 4(b), and 4(c). The benefit is the number of probe qubit cycles required to distinguish the two cases (time is shown in units of probe qubit cycles). Secondly, it is clear that strongly coupled TLFs (the gold line) cause less entanglement to generate within the probe. This can be explained by invoking the concept of entanglement monogamy [23, 30]. As the TLF-TLF connectivity increases, the indirect link between the two probe qubits is weakened, and so remote entanglement generation slows. It is important to emphasize which partitions one should consider when invoking monogamy arguments. The relevant quantity is the entanglement shared between each probe qubit and a given TLF; this is the quantity that is sensitive to entanglement sharing in two ways: (1) It decreases as the entanglement in the probe builds up, independently of the connectivity in the TLF environment; (2) It “feels” the TLF-TLF coupling in the sense that, within a selected time interval, the stronger the fluctuators couple, the smaller the entanglement between probe qubit and TLF becomes. As a result, remote entanglement builds up more slowly when fluctuators couple so that it quickly degrades in a decohering environment, as illustrated by results in figure 5.

#### 3.2.2 Effect of the TLF local field.

Unlike the power spectrum (figure 3), the probe entanglement remains useful for distinguishing from for strong local fields in the TLFs where . Figure 5 shows the probe entanglement as a function of time for the same data sets as in figure 3. It is clear that entanglement is generated within the probe for some time, before the TLF decoherence causes it to dissipate. As argued before, this loss of generated probe entanglement occurs faster for highly connected TLFs with , as one might expect, even without no explicit mention of monogamy constraints, since these TLF-TLF connections provide more links between the probe qubits and the TLF decoherence channels. This faster dissipation of generated entanglement for highly-connected TLFs allows us to distinguish between and after 10 to 50 probe qubit cycles, depending on the TLF parameters. Similar conclusions can be drawn for .

### 3.3 Discussion of the results

Since we are performing local measurements on each probe qubit, one might ask if there are any advantages of using a double-qubit probe. An obvious advantage is that entanglement within the probe becomes an accessible quantity that is not possible in a single-qubit probe. This is important for detecting the TLF-TLF connectivity, as we have seen that this task was achievable over a wider range of TLF parameters using the probe entanglement than the power spectra of the probe magnetization (which yielded qualitatively similar results for both types of probes).

In section 3 we were able to distinguish between composite spin-boson environments with high connectivity from those with low connectivity. The parameter ranges for which our findings were robust are: (tunable), . Other parameters (, etc) are restricted to lie within the ranges that ensure validity of the master equation — see A.

For all numerical calculations in this paper we have assumed effectively zero-temperature bosonic baths where . The relevant frequencies for experiments with Josephson qubits are in the vicinity of 10 GHz [4, 32, 6, 7], with cryostat temperatures of the order of 30 mK [4]. These values give , so the low-temperature approximation is good.

In general, determining the probe entanglement would require full quantum-state tomography. Here we consider estimating the probe entanglement from measurements less costly than full quantum state tomography, as described in [24] (and references within). The result is lower bounds on the entanglement — we refer the reader to [24] for details.

For all parameter regimes considered in this paper we found that one of the lower bounds given in [24] — the optimal one given in (5) — provided a remarkably good approximation to the probe entanglement for all times. The other lower bounds in [24] didn’t approximate the probe entanglement well for any time. An example is shown in figure 6. The solid line is the entanglement within the probe (logarithmic negativity), and the dotted line shows the lower bound given by

(5) |

where are the eigenvalues of the matrix

(6) |

The matrix is formed from probe observables (). Note that due to the symmetry of the problem.

## 4 Decoherence of entangled states

Entanglement has been identified as a key resource for quantum information processing. It is therefore important to study the loss of entanglement induced by coupling with an environment, as this coupling is generally unavoidable. In this section we reconsider our double-qubit probe as a double-qubit register (DQR) interacting with the same spin-boson environment (four damped TLFs) as above. Starting the DQR in an entangled pure-state, and the TLFs in their ground state (as before) with weak local fields , we numerically investigate the behaviour of the logarithmic negativity as a function of time. Specifically, we consider the lifetime of distillable entanglement (for which the logarithmic negativity is an upper bound). We compare our results to previous studies of entanglement decay [33, 34], all of which used rather less sophisticated models for the environment. Nevertheless, we find some qualitative similarities between our results and previous work.

Reference [33] consider multiqubit states whereby each qubit is damped by independent baths. We refer to this as ‘direct’ damping, by an equilibrium environment (a reservoir). In our non-equilibrium spin-boson environment, the damping is mediated by the TLFs and we refer to this as ‘indirect’ damping of the DQR. Reference [33] parameterizes time via the probability for a qubit to exchange a quantum of energy with its bath (in the absence of pure dephasing), . Here is the zero-temperature damping rate, and is the mean number of excitations in the bath ( is zero temperature). When the DQR logarithmic negativity falls below an arbitrarily small fraction of its initial value, , the distillable entanglement can be considered zero. The time at which this occurs is . For generalized GHZ states (requiring qubits), and for three different types of direct damping, [33] found that (although they were looking at it from a slightly different perspective, as we comment later). Remarkably, we find numerical evidence of the same qualitative behaviour for the decay of the Bell states in a DQR (see figure 7).

For low temperature mK (as we have considered throughout this paper unless otherwise noted), weak TLF local field , and TLFs with relatively small charge: , we consider the DQR to be initially in each of the four Bell states in turn: , . Figure 7 shows the DQR logarithmic negativity as a function of time, as well as for a DQR initially in the states . It is evident that for . Further, we can see that interacting TLFs (the gold traces) tend to reduce the DQR entanglement faster. This is expected since interacting TLFs provide more connections between the DQR and the baths. For the chosen set of parameters (particularly for the DQR), the states commute with and so don’t evolve, nor couple to the TLFs. We found the same qualitative behaviour for and when the TLF local fields were not strong: . For strong local fields , the linear relationship did not hold in general. This was because the probe entanglement tended to exhibit quite erratic behaviour, such as multiple collapses and revivals.

A comment on the previous work in [33, 34] is appropriate here. In those works, the decay of -particle entanglement was considered as a function of . In [33] it was found that . Here we have fixed and found that . Our focus is slightly different, but it is interesting that the loss of distillable entanglement (logarithmic negativity) is qualitatively the same for direct and indirect damping of bipartite qubit states (within the parameter regimes discussed in the previous paragraph). It is important to remark that the coincidence with the predictions for the decoherence of multipartite states subject to independent reservoirs should not be considered as a general result given that we analyzed a very special case, which is the one of two entangled qubits in selected parameter regimes. What is relevant for our purposes is the fact that the agreement with the analytical prediction in [33] for direct decoherence points out a sharp asymmetry in the processes of entanglement ”destruction” and (remote) entanglement generation in a composite environment, so that there are circumstances where the TLF systems may be essentially invisible when analyzing the decoherence of initially entangled probe states, while the presence of the TLFs would be revealed when monitoring entanglement creation in the probe.

## 5 Effect of spin-boson environment on entangling gate operations

In this section we investigate the effects of the composite spin-boson environment on the performance of entangling gates. Starting the DQR in the separable state , we consider two entangling gates: a ZZ gate (); and an XX+YY gate []. In the ideal case there are no TLFs and bipartite entanglement (quantified again by the logarithmic negativity) is generated between the isolated register qubits in an oscillatory fashion as shown by the solid red curves in figure 8. In the presence of four TLFs, the entangling gate performance is clearly reduced, and further modified depending on the strength of the local fields in the TLFs. This may be understood as follows. We have argued that the presence of a coherent coupling between the TLFs leads to a decrease in the effective interaction strength between the qubits in the probe, i.e., the “effectiveness” of the indirect link between probe qubits is diminished, a result that can be interpreted in terms of monogamy constraints leading to a slow down in the process of remote entanglement creation. In the case of the entangling gates, one could perhaps argue similarly, considering now a bipartition separating the probe qubits. The higher the connectivity in the environment, the slower the entangling gate can operate, as illustrated in figure 9.

At longer times (the order of 100 register-qubit cycles and greater), the DQR appears to approach an entangled steady state for weak local fields . This is shown in figure 9 for the ZZ gate (the same qualitative behaviour occurred for the XX+YY gate). We were unable to obtain analytical results to verify the presence of steady-state entanglement in the DQR generated by either gate (ZZ or XX+YY), when coupled to four TLFs. Our numerical study found that entanglement generated in the DQR was dissipated more rapidly (in less probe qubit cycles) for strong local fields in the TLFs.

## 6 Conclusion

We have considered superconducting qubits which are subject to decoherence dominated by low-frequency noise thought to be produced by interactions with a small number of defects/impurities. We model these impurities as coherent two-level fluctuators (TLFs) that are under-damped by baths of bosonic modes (e.g. phonons). We probed such a composite spin-boson environment by making measurements on a pair of noninteracting qubits that each interact directly with the TLFs. Our extensive numerical study revealed that the presence or absence of coherent coupling (connectivity) between the TLFs can be discriminated in two ways: from the estimated power spectrum of the probe magnetization (requiring relatively long-time measurements) and from entanglement generated within the probe, mediated by the spin-boson environment. We argue that entanglement monogamy considerations [23] allow interpretation of our results in terms of an effective decrease in the remote interaction strength when the environment is connected, which yields to a creation of quantum correlations on a much larger time scale as compared with the uncoupled fluctuator case.

We also showed that this remotely generated entanglement can be well-estimated by a lower bound [24] that requires less experimental effort than the full quantum state tomography required to evaluate the entanglement. The upshot is that this connectivity of the TLFs should be discernible using tractable measurements in a real experiment. This result is important for studies of quantum-mechanical phenomena in Josephson devices (including quantum computing) where it is desirable to minimize the effects of decoherence, for which the TLF-TLF connectivity may play a significant role [17].

When considering the effects of the spin-boson environment on a double-qubit register initially prepared in a maximally-entangled (Bell) state, we showed that the presence of TLFs may be unnoticeable in certain parameter regimes, in the sense that entanglement degradation there is well approximated by the same decrease law as for direct decoherence. This fact emphasizes the possible usefulness of monitoring the reverse process of entanglement generation for environmental probing.

The presence of TLF-TLF coupling also showed a reduction in the performance of entangling gate operations performed on the register. Our extensive numerical study can be supplemented by an analytical treatment of a simpler situation valid for short times, where TLF decoherence can be ignored. These results will be presented elsewhere [35].

## Appendix A Derivation of the master equation

Consider a single charge qubit “system” coupled to a finite number of independent charged impurities that fluctuate coherently between two configurations. These coherent two-level fluctuators (TLFs) are coupled to independent bosonic baths (phonons in the substrate, for example) that produce damping. The total Hamiltonian is the sum of free Hamiltonians for the single qubit, the TLFs, and the baths, and the interaction Hamiltonians:

The free Hamiltonians are , , (the baths can be assumed to be identical so ). The coupling Hamiltonians are (Coulomb interactions), (similarly to , the couplings are assumed to be independent of the baths: ). We denote the charge-basis Pauli operators by . At this stage the TLFs are not interacting.

The TLF-related energies , and are randomly distributed following independent distributions discussed in [5]. The details of these distributions are critical for realizing the experimentally observed noise spectrum of the qubit voltage/bias.

We refer to the eigenbases of and as the pseudo-spin bases, and denote the corresponding Pauli operators as . The Hamiltonians in the pseudo-spin basis are

where . In order to obtain the Master equation we move to an interaction picture with respect to the Hamiltonian

In this picture the evolution equation for the total system is:

where

By iterating once the above equation as usual [36, 29] we obtain

where denote the trace over all of the baths. By assuming a factorized initial state of the form , with the initial state of the “qubit + TLFs” and a thermal state of the th bath, we may make a Born approximation in the coupling constants . The evolution equation becomes

Since the baths are independent and they are all in a thermal state (diagonal in the number basis), by inserting the expression for it is easy to check that

This is basically a sum of the expressions obtained in the standard derivation [36, 29] for the one qubit case. Now we make the next crucial assumption in the derivation. Assuming weak qubit-fluctuator coupling whereby (as in the experiments of [4, 6, 7] — see below), we may approximate the Heisenberg operators of the TLFs in the interaction picture as:

(7) |

where is the sum of the free Hamiltonians. For example, we find that .

One may question the validity of our assumption of weak qubit-fluctuator coupling. For guidance we consider the experiments of [4] (charge qubit), [6] (phase qubit) and [7] (flux qubit), where and , which falls within this weak-coupling regime (the qubit-fluctuator coupling strength in the experiment of [4] is estimated in [9]). In this regime we can insert the result of the one qubit case for every fluctuator :

where the TLF ladder operators are , and the decoherence rates are , and . Here , and are the dephasing rate, the spontaneous emission rate and stimulated emission rate respectively, which can be calculated by knowing the spectral properties and temperature of the bath.

Now we return to the Schrödinger picture. For consistency the Heisenberg operators need to be sent back into the Schrödinger picture with the same used above, so that in fact we just need to remove the argument everywhere above because all the oscillating phase factors accrued actually cancel. Therefore the final result is:

This master equation is valid when and , . The first inequality is needed in the interaction picture (7) and the second inequality is the standard requirement for the Born-Markov approximation.

Within the same framework we can analyze other situations, such as interacting TLFs, and additional qubits coupled to the TLFs. The master equation for interacting TLFs is the same as above, but with the additional Hamiltonian and the requirement that . Additional qubits can be included under similar conditions.

References

## References

- [1] Devoret M H, Wallraff A and Martinis J M 2004 Superconducting qubits: A short review Preprint cond-mat/0411174.
- [2] Leggett A J 2002 J. Phys.: Condens. Matter 14 R415–R451.
- [3] Makhlin Y, Schön G and Shnirman A 2001 Rev. Mod. Phys. 73 357–400.
- [4] Nakamura Y, Pashkin Yu A and Tsai J S 1999 Nature (London) 398 786–788.
- [5] Shnirman A, Schön G, Martin I and Makhlin Y 2005 Phys. Rev. Lett. 94 127002.
- [6] Neeley M, Ansmann M, Bialczak R C, Hofheinz M, Katz N, Lucero E, O’Connell A, Wang H, Cleland A N and Martinis J M 2008 Nat. Phys. 4 523–526.
- [7] Lupaşcu A, Bertet P, Driessen E F C, Harmans C J P M, and Mooij J E 2008 One- and two-photon spectroscopy of a flux qubit coupled to a microscopic defect Preprint arXiv:0810.0590.
- [8] Paladino E, Faoro L, Falci G, and Fazio R 2002 Phys. Rev. Lett. 88 228304.
- [9] Galperin Y M, Altshuler B L, Bergli J, and Shantsev D V 2006 Phys. Rev. Lett. 96 097009, and Preprint cond-mat/0312490.
- [10] Faoro L, Bergli J, Altshuler B L and Galperin Y M 2005 Phys. Rev. Lett. 95 046805.
- [11] Grishin A, Yurkevich I V and Lerner I V 2005 Phys. Rev. B 72 060509.
- [12] Schriefl J, Makhlin Y, Shnirman A and Schön G 2006 New J. Phys. 8 1.
- [13] Abel B and Marquardt F 2008 Phys. Rev. B 78 201302.
- [14] Faoro L and Ioffe L B 2008 Phys. Rev. Lett. 100 227005.
- [15] Paladino E, Sassetti M, Falci G and Weiss U 2008 Phys. Rev. B 77 041303.
- [16] Emary C 2008 Phys. Rev. A 78 032105.
- [17] Yuan S, Katsnelson M I and De Raedt H 2008 Phys. Rev. B 77 184301.
- [18] Schoelkopf R J, Clerk A A, Girvin S M, Lehnert K W, and Devoret M H 2003 Noise and measurement backaction in superconducting circuits: Qubits as spectrometers of quantum noise Noise and Information in Nanoelectronics, Sensors and Standards (Proc. SPIE vol 5115) ed L B Kish et al(Bellingham, WA, USA) pp 356–376.
- [19] Ashhab S, Johansson J R and Nori F 2006 New J. Phys. 8 103.
- [20] Reznik R 2003 Found. Phys. 33 167-176.
- [21] Heaney L, Anders J, Kaszlikowski K and Vedral V 2007 Phys. Rev. A 76 053605.
- [22] De Chiara G, Brukner C, Fazio R, Palma G M and Vedral V 2006 New J. Phys. 8 95.
- [23] Coffman V, Kundu J and Wootters W K 2000 Phys. Rev. A 61 052306.
- [24] Audenaert K M R and Plenio M B 2006 New J. Phys. 8 266.
- [25] Astafiev O, Pashkin Yu A, Nakamura Y, Yamamoto T and Tsai J S 2004 Phys. Rev. Lett. 93 267007.
- [26] Leggett A J, Chakravarty S, Dorsey A T, Fisher M P A, Garg A and Zwerger W 1987 Rev. Mod. Phys. 59 1–85.
- [27] Wiseman H M and Milburn G J 1993 Phys. Rev. A 47 1652.
- [28] Tsomokos D I, Hartmann M J, Huelga S F and Plenio M B 2007 New J. Phys. 9 79.
- [29] Carmichael H J 1999 Statistical Methods in Quantum Optics I: Master Equations and Fokker-Planck Equations (Springer, Berlin).
- [30] Dawson C M, Hines A P, McKenzie R H and Milburn G J 2005 Phys. Rev. A 71 052321.
- [31] Vidal G and Werner R F 2002 Phys. Rev. A, 65 032314.
- [32] Simmonds R W, Lang K M, Hite D A, Nam S, Pappas D P and Martinis J M 2004 Phys. Rev. Lett. 93 077003.
- [33] Aolita L, Chaves R, Cavalcanti D, Acin A, and Davidovich L 2008 Phys. Rev. Lett. 100 080501.
- [34] Hein M, Dür W and Briegel H J 2005 Phys. Rev. A, 71 032350.
- [35] Rivas A, Oxtoby N P, Huelga S F, Plenio M B and Fazio R (in preparation).
- [36] Breuer H P and Petruccione F 2002 The Theory of Open Quantum Systems (Oxford University Press, New York).