# Filter design for hybrid spin gates

###### Abstract

The impact of control sequences on the environmental coupling of a quantum system can be described in terms of a filter. Here we analyze how the coherent evolution of two interacting spins subject to periodic control pulses, at the example of a nitrogen vacancy center coupled to a nuclear spin, can be described in the filter framework in both the weak and the strong coupling limit. A universal functional dependence around the filter resonances then allows for tuning the coupling type and strength. Originally limited to small rotation angles, we show how the validity range of the filter description can be extended to the long time limit by time-sliced evolution sequences. Based on that insight, the construction of tunable, noise decoupled, conditional gates composed of alternating pulse sequences is proposed. In particular such an approach can lead to a significant improvement in fidelity as compared to a strictly periodic control sequence. Moreover we analyze the decoherence impact, the relation to the filter for classical noise known from dynamical decoupling sequences, and we outline how an alternating sequence can improve spin sensing protocols.

The interaction of a quantum systems with its environment is due both to coherent control fields and environmental noise. Suppressing the environmental noise is crucial for extending the coherence time and for colored noise is frequently performed by dynamical decoupling techniques Du et al. (2009); Biercuk et al. (2009); de Lange et al. (2010). Such approaches aim at refocusing undesired couplings by means of a control field or control pulse sequence, without the need of additional ancillas or measurements. Whereas these concepts are well-understood for protecting single isolated qubits, their extension to multiple and interacting quantum systems turns out to be much more challenging Xu et al. (2012); van der Sar et al. (2012); Gordon et al. (2007). In particular the question arises how to decouple a qubit from a noise background while at the same time retaining very specific desired interactions. Such a situation occurs in the construction of decoupled quantum gates: Even though their feasibility has been theoretically proven Khodjasteh and Lidar (2008); Khodjasteh and Viola (2009); West et al. (2010), an actual implementation requires concepts that are tailored to the specifics of the system. Experimental realizations range from decoupled single Xu et al. (2012); Zhang et al. (2014) and multiqubit van der Sar et al. (2012); Dolde et al. (2013); Taminiau et al. (2014) spin gates to single Timoney et al. (2011) and multiqubit gates Piltz et al. (2013) in trapped ions. Another example is given by dipolar recoupling techniques in NMR experiments Lin et al. (2009); Paravastu and Tycko (2006), which aim at the controlled and selective reintroduction of specific interactions for structural information gain.

More generally, control sequences can be used to construct and design filters Cywiński et al. (2008); Kofman and Kurizki (2001); Biercuk et al. (2011); de Sousa (2009); Gordon et al. (2007) transmissive exclusively for very specific interactions and frequencies. This insight has lead to the construction of quantum ‘lock-in’ setups Kotler et al. (2011); Cai et al. (2013) or the design of Hamiltonians Ajoy and Cappellaro (2013) by choosing appropriate control parameters. Moreover decoupling sequences can be intuitively interpreted in the filter framework Cywiński et al. (2008); Gordon et al. (2007); Uhrig (2007), with decoherence arising as the overlap of a filter with the corresponding noise spectrum. Importantly, scanning a narrowband filter in frequency allows for the tomography of the noise spectrum Álvarez and Suter (2011); Bylander et al. (2011), the detection of ac-fields de Lange et al. (2011); Pham et al. (2012) and even the sensing of (single) individual spins Zhao et al. (2012); Taminiau et al. (2012); Kolkowitz et al. (2012a); London et al. (2013); Müller et al. (2014). Furthermore, the insight following from filter descriptions has been used for the optimization of quantum memories Khodjasteh et al. (2013) and for the construction of sensitive mass Zhao and Yin (2014) and mechanical motion Kolkowitz et al. (2012b) spectrometers.

Here we analyze the filter description for the coherent coupling of hybrid spin systems. As an explicit example, though not limited to, we consider the nitrogen vacancy center (NV-center) in diamond, characterized by an electronic spin-1 ground state, and its (hyperfine) coupling to individual (nuclear) spins. Both the detection Zhao et al. (2012); Taminiau et al. (2012); Kolkowitz et al. (2012a); London et al. (2013); Müller et al. (2014) and manipulation Taminiau et al. (2012, 2014) of single nuclear spins, e.g. C, Si or N nuclear spins, via the center spin have been demonstrated. Two relevant regimes emerge and are well-described in such a filter formalism: the weak and strong coupling limit which correspond to close van der Sar et al. (2012) and distant nuclear spins Zhao et al. (2012); Taminiau et al. (2012); Kolkowitz et al. (2012a); Taminiau et al. (2014) from the center, respectively.

Section I is devoted to the filter description in the weak and the strong coupling regime, which represents a good description for short interaction times and hence small rotation angles. This description reveals universal properties around the resonance points of the filter, which allow for tuning of the interaction type and strength. Section II then shows how to extend the applicability of these concepts beyond the short time limit and reveals the ability for tunable gate interactions based on alternating control pulse sequences. An application of this insight is provided in section III, linking first the gate formalism to the decoherence description, followed by providing concepts for the use of the alternating sequences in spin sensing protocols with improved frequency resolution. Appendix A analyzes in detail the limitations of the filter formalism. Appendix B provides the derivation of the filter formulas and Appendix C an analysis of the strong coupling limit for a spin 1/2 control spin. Last, Appendix D reviews the filter-grating description which simplifies the analysis and filter calculation for alternating pulse sequences.

## I Filter formalism for coherent spin interactions

We will consider the generic Hamiltonian

(1) |

describing the interaction of a nuclear (‘target’) spin with energy separation , hyperfine coupled with frequency to an electronic (‘control’) spin. Here () denotes the Pauli matrices acting on the target qubit, and for clarity the analogs on the control spin are denoted by in what follows. describes a -type coupling on the control spin, projected on the (pseudo)spin-1/2 submanifold as selected by a sequence of population inverting -pulses; the latter reflected in the time dependence. Such a form holds for any type of spin couplings with significantly different energy scales which lead to the exclusion of population exchange with the control spin system. In particular we assume the control spin to be of spin-1/2 or spin-1 as in the nitrogen vacancy (NV) center in diamond and the target (nuclear) spin to be a spin-1/2 which applies to a wide variety of potential nuclear spin targets. It is important to note that the target spin is not restricted to spin-1/2 and higher spins can be introduced straightforwardly into the formalism by replacing the spin matrices by their higher order analogs.

For the control spin two specific configurations are considered, dependent on the two-level (sub)-system involved in the control sequence: A spin-1/2 control qubit or the spin-1 sub-manifold =1, both denoted by ‘spin-1/2 control spin’ in the following and describable by . A spin-1 sub-system composed of =0 and one of the states , referred to as ‘spin-1 control’, leading to with and the Pauli z-matrix and identity defined on the coupled sub-manifold, respectively. Herein the stepfunction at the initial time with a sign change at each -pulse time , i.e. for -pulses with the final time and the Heaviside stepfunction .

The effective energy separation of an environmental spin with Larmor frequency () coupled to a control spin-1 by the hyperfine interaction () is characterized by the dressed states of the unconditional (‘-independent’) contributions. Thus, Zhao et al. (2014); Taminiau et al. (2012), which allows for distinguishing even target spins of the same species by their position dependent coupling properties. The orthogonal hyperfine component in (1) is then just the orthogonal component with respect to the dressed energy levels; parallel components can be neglected in the perturbative limit evolution considered below. Adding a continuous resonant Rabi driving on the target spin as has been performed in van der Sar et al. (2012), can be described by the Hamiltonian , and thus corresponds to a global coordinate rotation of the generic form (1) by replacing , and .

In the following the hyperfine coupling induced interaction is analyzed both in the strong and in the weak coupling limit under the influence of a periodic CPMG -pulse control sequence Meiboom and Gill (1958); van der Sar et al. (2012) of pulse separation and total time , i.e. ([1,N]). The effective coupling strength can then be described by a control pulse dependent filter with resonances characterized by widths in frequency. Such a description is based on a first order Magnus expansion and holds true in the limit of small total evolution angles as shown in Appendix A. The extension to much longer timescales is discussed in the subsequent section. Importantly, besides allowing for specific frequency selective gate interactions, the CPMG control sequence leads to a decoherence decoupling de Lange et al. (2010); Naydenov et al. (2011), e.g. extends the coherence time for a quasi-static noise bath to de Sousa (2009) .

### i.1 Weak coupling limit

The weak coupling limit is essentially insensitive to the control spin being either of the ‘spin-1/2’ or ‘spin-1’ type, the latter requiring simply a substitution in the subsequent expressions as a result of its effectively weaker hyperfine coupling. The total conditional evolution in a rotating frame with respect to follows as

(2) |

with the frequency selective filter given by (see Appendix B)

(3) |

and the argument in curly brackets being absent/present for even and odd, respectively. Such a filter defines the effective coupling frequency as and is illustrated in figure 1 (a). It reveals sharp resonances around () with a frequency width inversely to the total time, and a total peak height decreasing as . The rotation axis in the resonance region

(4) |

follows a simple linear behavior, that is

(5) |

where , except for =1 & =0 in which case the restriction holds. This angle dependence is valid in any limit of . Moreover in the limit of large (), or for any at =0, the filter (3) takes on a universal behavior around the resonances

(6) |

resulting in the filter amplitudes for a =0 conditional , and for a =1 -type rotation. Importantly, the independence in (6) ensures a linear accumulation of the rotation in time. On the other hand, the dependence reflects a reduced coupling for higher order resonances. In the validity range of (6), the total rotation angle for a given and turns out to be independent of , however associated with a longer total time for increasing . Moreover, the filter is symmetric in exclusively in the limit (6) of large .

### i.2 Strong coupling limit

In the strong coupling limit the achievable interactions crucially depend on the spin properties of the control qubit. Only for the ‘spin-1 configuration’ a conditional interaction that is scaling linearly in time can be achieved and will be focused on in the following; the ‘spin-1/2 configuration’ leads at most to a scalable (less relevant) unconditional evolution and is briefly outlined in Appendix C.

For a ‘spin-1’ control qubit the evolution in a rotating frame with respect to the hyperfine Hamiltonian can be described by

(7) |

connected to the the original (1) frame evolution by at the end of a basic decoupling sequence . Upper and lower signs here and in the following are in accordance with , dependent on the spin-1 subsystem connected by the control pulses as previously defined. Thus the evolution is characterized by both conditional and unconditional contributions, with the corresponding filters of width defined as (see Appendix B)

(8) | |||||

and illustrated in figure 1 (b). Again the contribution in wavy brackets is present exclusively for being odd.

The resonance (region) condition, in a notation analogous to (4) is given by

(9) |

for the conditional () and unconditional () filter, respectively. The corresponding rotation axis follows as

(10) |

with for , except for and =1, and restricted dependent c-ranges for and .

For large () both the conditional and unconditional filter are well-approximated by the universal form

(11) |

which exactly holds for any on the resonance =0. Thus, =0 leads to a -type rotation with , whereas =1 corresponds to a rotation with . The independence of (11) indicates the additivity in time; the additional independence reveals that the coupling amplitude, despite a modification of the ability for noise decoupling, is preserved for higher order resonances. Out of (8) and (11) it directly follows that the conditional filter is symmetric in in any limit of , whereas this holds true for the unconditional filter exclusively for sufficiently large . The (un)conditional contribution at the unconditional (conditional) resonance peak does not scale in and is thus negligible for a sufficiently large number of pulses; moreover it is zero for =0 and =1 for an even and odd number of pulses , respectively, in any limit except for =1^{1}^{1}1The conditional filter at the unconditional resonance is both zero for =0 and =1 for an odd number of pulses. .

## Ii Sliced gate evolutions and alternating pulse sequences

The filter description and its associated properties discussed previously hold true as long as the interaction time and thus the evolution angle is small (see Appendix A). For gate interactions this forms a severe limitation, which can be overcome by alternating pulse sequences as shown in the following.

We will assume that the total evolution can be split into slices ([0, -1]), with slice consisting of -periodic CPMG-control pulses with characteristic timescale as shown in figure 2 (d). Moreover =0, the total time = and the slice time =-. Then the total evolution can be cast into the form

(12) |

where and for the weak and strong coupling configuration, respectively. denotes the rotating frame evolution operator as defined in (2) and (7) with the index indicating that the replacement has to be made in these expressions for an odd number of preceding pulses. Assuming the rotation angle per slice to be small, its evolution is well-described in the filter description; e.g. for the rotation angle = , which is small as long as is. Following (12) the only modification consists of an effective coordinate rotation between subsequent slices and .

The rotation of the coordinate frame is closely linked to the rotation axis angle of the evolution. This property is analyzed for the weak coupling limit in the following, however the same conclusions hold true for the strong coupling counterpart. After a single slice around a rotation axis following out of conditions (4) and (5), the local coordinate system can be interpreted as being rotated by

(13) |

for the subsequent slice. This rotation, for being even, is just twice the rotation axis angle (see figure 2 (a)). An additional -inversion occurs for being odd, i.e. . However in that latter case also as outlined previously by the index to the evolution operator, and thus the rotation axis is -inverted simultaneously and the subsequent conclusions remain unchanged^{2}^{2}2Such a coordinate frame -inversion does not occur at the unconditional resonance in the strong coupling limit in accordance with the absence of in the relevant evolution operator. .

Thus, to globally maintain a fixed rotation axis , the subsequent slice has to be tuned to . An alternating evolution sequence as depicted in figure 2 (d) therefore allows for significant rotation angles beyond the perturbative limit around an arbitrary but fixed rotation axis (5) as characterized by . This is illustrated for a evolution in figure 2 (c), comparing a non-alternating = pulse sequence for = 1 to a = alternating sequence of =10 slices with = pulses each. Whereas the former simulation shows a clear deviation from the filter based expectation as a result of the small-angle approximation break-down, the latter sliced evolution leads to an (almost) perfect -type conditional -rotation with fidelity .

For an even number of alternating slices (or for =0), such that the rotating frame evolution is equal to the original one. Moreover in this case and for , the effective ‘filter’ for the -axis rotation in analogy to (2) is given by

(14) |

or simply whenever is symmetric in .

Remarkably the =0 resonance peak is purely additive even in the long time limit without any adjustments, a fact that can already be seen in the -independence of the corresponding resonance condition (4). On the contrary, two subsequent =+1 slices would be subtractive to first order as the coordinate frame rotation inverts the global rotation axis for the second slice.

The above insight can also be applied for the interpretation of the long time (large ) evolution of equidistant CPMG sequences (). For that purpose, an -pulse sequence characterized by a resonance parameter according to (4) can be formally sliced into segments of pulses each. The resonance and rotation properties for each slice are then characterized by , as follows by comparing the resonance condition per slice to (4). Choosing sufficiently many slices such that the rotation per slice is small allows for the interpretation within the filter formalism. Namely, as illustrated in figure 2 (b), the rotation of each slice with is followed by a coordinate system rotation ; up to a total rotation for the total sequence. Essentially this equals a rotation of the rotation axis in time. Therefore, based on the slicing approach, the filter description retains its usefulness beyond the perturbative limit.

## Iii Spin sensing and frequency filter for alternating pulse sequences

The conditional coherent interaction induced by Hamiltonian (1) leads to a mutual, time-periodic entanglement of the control and target spin. This effect can be observed as a coherence decay on the control spin subsystem, which along with the frequency selectivity of the control pulse sequence is widely used for sensing individual environmental spins Zhao et al. (2012); Taminiau et al. (2012); Kolkowitz et al. (2012a). More precise, the coherence follows as (with the ladder operator for the control spin) , which in the limit and assuming the target initial state to be completely mixed, leads to

(15) |

For sufficiently short times, the coherence evolution follows as . This latter expression is formally equivalent to the decay under classical noise Zhao et al. (2012), with the corresponding filter Cywiński et al. (2008); de Sousa (2009) and assuming a noise bath with discrete spectrum .

The validity range of (15) is limited by the applicability range of the filter formalism. In practice, as simulated for a CPMG sequence in figure 3 (a), the coherence is well-described by (15) within the initial sign inverting regime , i.e. up to a rotation angle of the conditional evolution. It forms the typical regime used for spin-sensing. Going beyond this timescale reduces the dip depth of the main resonance again, whereas the vicinity regions still increase in depth. This then leads to an oscillatory broadened regime associated with a loss of frequency resolution. More precise, such a regime makes it hard to distinguish different spins of similar frequency as a result of their overlapping signal envelopes; in addition to the drawbacks associated with the (potentially) reduced coherence dip amplitude and the more intricate signal pattern. Moreover the filter formula description (15) breaks down at these timescales; except for =0 (= in figure 3 (a)) as is clear out of the ‘slicing’ analysis of the preceding section. Thus there exists a trade-off between an anticipated increasing sensing resolution in time out of the filter description () and an upper limitation by the onset of the oscillatory broadening at longer times; besides the limitation on the coherence time set by the classical noise background.

Extending the time until the onset of the oscillatory regime can be achieved by lowering the effective coupling amplitude. That way the filter description and its time inverse frequency width scaling retains its validity on a longer timescale, which, provided the (decoupled) coherence time exceeds that timescale, enables to further increase the sensing resolution Zhao et al. (2014). Thus, for a fixed total time, appropriately tuning the coupling strength allows to turn a signal with previously oscillatory broadened envelope and reduced dip depth, into a clearly distinct peak structure of larger or maximal peak depth, each peak width scaling with the inverse total time.

Such an amplitude damping effect is realized by higher order resonances (0) Taminiau et al. (2012), by superimposing a continuous Rabi driving on the control spin Mkhitaryan et al. (2015), or by lowering the effective coupling amplitude by gradually reducing the periodicity of the control sequence Zhao et al. (2014). This latter concept can be achieved by an -pulse sequence composed of alternating slices with pulses each (figure 2 (d)), choosing the inter-pulse timescales such that

(16) |

Here or simply for an even number of slices . That way, at the resonance condition , the system is alternatingly driven at the resonance, i.e. . This corresponds to an (approximate) single axis rotation with a well-controlled and reduced coupling amplitude as discussed in the preceding section.

However, a reduced periodicity comes at a price, namely additional peaks appearing in the sensing spectra. This is best understood by noting that the filter for an times periodic repetition of an -pulse block can be described as the overlap of a grating with a block filter Ajoy and Cappellaro (2013); Zhao et al. (2014) (see Appendix D)

(17) |

We will assume the number of slices to be even, in which case and with a ‘block’ consisting of a single ‘’ sequence. The grating is then given by ( even) and the block filter is calculated analogue to the CPMG filter (see Appendix B) by just adapting to the modified pulse sequence. Thus the total filter can be interpreted as the overlap of a grating with peak width inversely to the total time modulated by a broader block filter of width . Compared to a perfectly ‘symmetric’ grating (=, =1), in which the grating consists of peaks , ( - ) additional peaks per resonance order and separated by emerge for , gradually introduced into the filter by reducing the symmetry of the -pulse blocks Zhao et al. (2014).

Figure 3 (b) illustrates the filters for a sequence of alternating slices, a fixed total pulse number =24 and different pulse numbers per slice. Previously located in the oscillatory regime for a fully periodic =24 sequence (figure 3 (a)), the alternation leads to well-defined peaks of frequency width given by the inverse total time and well-described in the filter framework; though at the expense of the emergence of additional peaks for a given frequency.

## Iv Conclusion

We have shown how the evolution operator of interacting spins subject to a control pulse sequence can be described in a filter description. This holds true for (hyperfine) coupled spins without population exchange in both the limiting cases of strong and weak coupling. A universal behavior can be ascribed to the resonance region, allowing for a straightforward identification of both the interaction type and amplitude. Importantly, it has been shown that the interpretation in the filter framework can be extended to the previously inaccessible limit of long times and large rotation angles. Thus its insight can be used for the construction of tunable decoupled quantum gates. It should be noted that obtaining the exact solution of the conditional spin evolution is a straightforward task van der Sar et al. (2012); Taminiau et al. (2012); Zhao et al. (2012); Kolkowitz et al. (2012a), though its formulation is more involved, and quickly becomes a numerical task involving the inversion of trigonometric functions. In contrast, the filter formulation provides an intuitive approach and combining both methods can lead to further optimizations whenever the limiting cases of strong and weak coupling are not strictly fulfilled. Moreover, we have analyzed the impact on the (control spin) subsystem coherence. Remarkably, the sensing relevant regime is well-described in the filter formulation and is closely related to the filter for classical noise. Furthermore it has been shown that sensing resolution can be improved by alternating sequences with well defined coupling amplitudes as follow directly out of the filter description.

###### Acknowledgements.

This work was supported by an Alexander von Humboldt Professorship, the ERC Synergy grant BioQ and the EU projects DIADEMS, SIQS and EQUAM.## Appendix A Limitations to the filter description

Hamiltonian (1) in a rotating frame with respect to , well suited for the filter analysis in the weak coupling regime , follows as . The evolution operator in the Magnus expansion can then be written as

(18) |

with the first two expansion contributions

(19) |

and the definition . A completely analogue treatment can be carried out for the strong coupling limit in a rotating frame with respect to the hyperfine contribution.

A sufficient condition ensuring absolute convergence of the sum appearing in (18) is given by Casas (2007) , with the matrix norm here and in the following defined as the operator norm.

As the filter description is based on the first order contribution alone, its validity is restricted to timescales on which higher order contributions are sufficiently small. With , a time independent quantity as a result of the unitarily invariant matrix norm, it follows that and and under the assumption of absolute convergence Khodjasteh and Lidar (2008)

(20) |

with a constant .

Recalling the filter definition (see Appendix B) , the first order contribution takes the form and the above estimations allow for an upper bound on time for the filter description validity.

More approximate, for sufficiently many pulses and close to resonance

(21) |

where the ‘coarse grain’ estimation , approximately valid in the quasi-resonant regime for sufficiently long times (large ), has been used. Thus, , which compared to the first order contribution and its associated rotation angle , reveals that the second order contribution is of . Thus, the general validity of the filter description is limited to small rotation angles ; except for the special cases discussed in the main text (e.g. =0 or alternating sequences).

In the weak coupling limit, the evolution operator (2) up to second order takes the form with the first order rotation angle, and and the first and second order filter, respectively. These filter contributions are compared in figure 4, verifying that in the resonance region and thus indeed the second order contribution as expected out of the previous discussion.

## Appendix B Filter function derivation

### b.1 Weak coupling limit

The rotating frame evolution, retaining only the first order Magnus expansion contribution, takes the form

(22) |

with the control pulse jump function as defined in the main text. Thus it essentially remains to calculate and the filter (3) and rotation angle (5) subsequently follow as and , respectively.

Using that the pulse times for an equidistant -pulse sequence are given by , with start and end time and

(23) |

and upon evaluation of the sum using the geometric series property

(24) |

with the upper and lower case corresponding to being even and odd, respectively.

### b.2 Strong coupling limit

Hamiltonian (1) in the rotating frame with respect to the hyperfine contribution and for the ‘spin-1’ control spin configuration (corresponding to upper and lower signs in what follows) takes the form

(25) |

with the ladder operator in the eigenbasis, i.e. and , and . For a periodic (CPMG) -pulse sequence can be expressed as

(26) |

with the pulse times and the initial and final time = and =, respectively.

A separation of (25) into a conditional and unconditional part is obtained by noting that

(27) |

The total evolution in the rotating frame and approximated by the first order Magnus expansion then follows as

(28) |

with

(29) |

The corresponding conditional and unconditional filter as defined in (7) and (8) then follow as , and the rotation angle as defined in (10) is given by .

Thus it remains to evaluate the expressions (29). Inserting the expression (26) for

(30) |

and analogue for . Performing the integration, inserting the expressions for =, separating the ‘special times’ & , and finally using the geometric series property in close similarity to the weak coupling treatment (23), results in the expressions

(31) |

and

(32) |

Upper and lower cases in wavy brackets correspond to the total pulse number being even and odd, respectively.

## Appendix C Spin-1/2 control spin in the strong coupling limit

For the strong coupling limit and assuming the control qubit to be of the ‘spin-1/2 type’, the rotating frame Hamiltonian is given by

(33) |

with and as defined in Appendix B.2.

Thus, the rotating frame evolution follows as

(34) |

with , and the definition . With (26) and using the same procedure as in Appendix B the filters are readily evaluated to

(35) |

Upper and lower cases in curly brackets correspond to an even and odd number of total pulses , respectively. Remarkably, the conditional filter does not lead to a scalable evolution, i.e. it scales inversely with the pulse number or is even zero for an even number of pulses. More precise, at most a single pulse unit contributes to the evolution and thus such a configuration is not suitable for conditional gate interactions. In contrast, the unconditional contribution is scalable and does reveal a discrete peak structure.

## Appendix D Grating block-filter construction in the weak coupling limit

The filter in accordance with the definition (2) as follows from a first order Magnus expansion in the weak coupling limit is given by

(36) |

with the step function as previously defined describing a pulse sequence consisting of periodic repetitions of -pulse blocks. Taking into account that the time integration involved can be split into periodic time intervals with , and , allows to rewrite (36) as

(37) |

where in the last step the periodicity property has been used. Out of (37) and (17) it is straightforward to identify the grating as

(38) |

that upon evaluation of the sum using the geometric series property results in

(39) |

Correspondingly the ‘block filter’ is identified as . For a block with pulses per slice, i.e. , the block filter follows as with as defined in (24).

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