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Quantum cascade detector utilizing the diagonal-transition scheme for high quality cavities

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Abstract

A diagonal optically active transition in a quantum cascade detector is introduced as optimization parameter to obtain quality factor matching between a photodetector and a cavity. A more diagonal transition yields both higher extraction efficiency and lower noise, while the reduction of the absorption strength is compensated by the resonant cavity. The theoretical limits of such a scheme are obtained, and the impact of losses and cavity processing variations are evaluated. By optimizing the quantum design for a high quality cavity, a specific detectivity of 109 Jones can be calculated for λ = 8μm and T = 300K.

© 2015 Optical Society of America

1. Introduction

Quantum cascade detectors (QCD) originated from the concept of quantum cascade lasers (QCL) [14]. It was found, that, by not biasing a QCL, it can be operated as a photovoltaic detector [5]. At this time, photovoltaic quantum well infrared photodetectors had already been demonstrated and showed very promising performance [6,7]. By specifically designing a quantum cascade structure for detection, rather than lasing, a significant performance increase compared to unbiased QCLs could be achieved, which established the topic of QCDs [811]. To date, detection has been shown in a broad spectral range, namely from the near-infrared to the THz, but only in the near-infrared and mid-infrared has room-temperature operation with decent device performance been demonstrated [1215]. Because of their versatility, QCDs are perfectly suited to use in combination with sophisticated cavities and have been demonstrated to yield performance increase with photonic crystals or plasmonic antennas [1618]. The highest possible performance is obtained when the quality factor (Q-factor) of the cavity and the detector material match. So far, this has been achieved by reducing the doping of the detector and thereby increasing its Q-factor [19,20]. By that, the noise was reduced significantly, but the responsivity remained unchanged.

An alternative way to adjust Q-factors was introduced with a new QCD design concept, the diagonal-transition QCD [21], that showed a performance increase of almost an order of magnitude compared to other QCDs at the same wavelength. Here, the optically active transition occurs between two energy levels that are localized in adjacent wells. The dipole matrix element can be controlled, to match the cavity Q-factor, by changing the thickness of the separating barrier. A thicker barrier reduces the absorption strength, while the extraction efficiency and the resistance of the device is increased. In this way, both the responsivity and the detectivity can be increased. We will show that by fully utilizing both reduced doping and the diagonality of the optically active transition, the detector performance can be significantly enhanced.

2. Quantum design

The performance of photodetectors is commonly quantified through the responsivity or specific detectivity as figure of merit. The responsivity R is a measure of the unit of electrical output per optical input power. In the case of QCDs, it can be written as

R=λqhcηpeN,
where λ is the wavelength, q the elementary charge, h the Planck constant, c the vacuum speed of light, η the absorption efficiency, pe the extraction efficiency and N the number of QCD cascades. The specific detectivity D* also contains a noise term and describes the signal to noise behavior. In the Johnson noise limit, the specific detectivity for QCDs near zero bias can be expressed as
Dj*=RR0A4kBT,
where R is the responsivity, R0 is the device resistance, A the device area, kB the Boltzmann constant and T the temperature. By combining the QCD with a resonant cavity, the lifetime of photons in the QCD active region is increased, which increases the absorption efficiency η. This so-called resonant absorption enhancement is only efficient if the cavity and the photodetector material have similar Q-factors. The Q-factor is defined as
Q=2πEnergystoredEnergydissipatedpercycle
and can be linked to the absorption coefficient of a material by
Q=n2κ=2πnλα
where ñ = n + is the refractive index, λ the wavelength and α the absorption coefficient related to the entire QCD period. It is assumed that the entire cavity is filled by the absorbing QCD material. Usually, both quantum-well infrared photodetectors and QCDs have an absorption coefficient that corresponds to a significantly lower Q-factor than that of resonant cavities. Typical values of α are 1000 – 2000cm−1. Using above equation, this corresponds to a detector Q-factor of approximately 25 – 12.5 in a InGaAs/InAlAs heterostructure, at λ = 8μm. Such high absorption is necessary to get reasonable absorption efficiencies in typically used double-pass mesa structures. A higher detector Q-factor (or equivalently, lower detector absorption) can be obtained by the reduction of the doping. It was shown that the specific detectivity could be significantly increased by reducing the doping of a quantum well infrared photodetector and combining it with a photonic crystal slab resonant cavity [20]. The benefit of lower doping is the reduction of the noise current density. In QCDs, a lower doping density increases the resistance, but according to Eq. 2, an c times higher resistance increases the specific detectivity by only c. With the diagonal-transition QCD, another means to control the absorption coefficient has been introduced, namely the diagonality of the optically active transition. The bandstructure of the diagonal-transition QCD that has been used for this analysis is depicted in figure 1. The material system is InGaAs/InAlAs lattice matched to InP. The layer thicknesses in nm are 4.4/5.4/1.85/2.2/4.4/2.6/4.4/2.8/ 4.4/2.954.6/3.14.5/2.2/4.55/3.4/4.7/3.6/4.9/3.8. The Barriers are indicated in bold. In grown structures, the underlined layers are doped. The general conclusions are also valid for other QCD designs, where the optically active transition occurs between two adjacent wells. The optical transition is indicated by the black arrows. By controlling the thickness of the barrier between the two active energy levels (indicated by the shaded green region), the overlap integral and the dipole matrix element can be tuned. A thicker barrier increases the extraction efficiency and gives a higher electrical resistance [21]. This yields a performance improvement despite the lower absorption coefficient of the diagonal-transition QCD, even without a resonant cavity. In contrast to the doping density, both the responsivity and the specific detectivity are directly proportional to the extraction efficiency. A number of simulations for varying doping density and barrier thickness was performed, using a single-particle Monte-Carlo transport simulator for quantum cascade devices [22]. The following transport mechanisms were included: acoustic deformation potential, optical deformation potential, polar optical phonons, alloy scattering and interface roughness scattering. Using the obtained scattering rates, the resistance, the responsivity and the specific detectivity was calculated. The resistance was calculated based on the model from [23]. A variation of the doping density generates a change of the bandstructure through band-bending, that can be compensated by a careful quantum design. This can be done in the range of sheet doping density used in this analysis. At even higher doping densities the relationship between extraction efficiency, resistance and sheet doping is strongly non-linear and the figures of merit deteriorate. That is why we limited the sheet doping density to n2D = 1012 cm−1. We chose to perform the simulations without self-consistency for rapid prototyping of designs. Of course, for the design of growth structures, self-consistent simulations are necessary.

 figure: Fig. 1

Fig. 1 Bandstructure of the diagonal-transition QCD that is used for this analysis. It is based on a diagonal-transition scheme, thus the resistance, the extraction efficiency and the absorption can be controlled by the thickness of the barrier between the active wells, indicated by the shaded green region.

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In Fig. 2, the absorption coefficient α, the extraction efficiency pe and the resistance R0 of the QCD are depicted as a function of the doping density n2D and the barrier thickness d. The range of the barrier thicknesses was from 1–5nm. With this we obtained dipole matrix elements of the optically active transition of 2.67–0.45nm. Arbitrary values of α can be reached by a variety of combinations of n2D and d. Each different set of n2D and d for a given α has a different extraction efficiency and resistance. Generally, the resistance and extraction efficiency are higher for designs with lower absorption.

 figure: Fig. 2

Fig. 2 Absorption coefficient α, extraction efficiency pe and resistance R0 as two-dimensional plots versus the thickness of the active barrier and the sheet doping density at T = 300K. Standard QCDs have a typical absorption coefficient in the range of 1000 – 2000cm−1. Such high absorption is obtained for either a low barrier thickness or a high doping density (or a combination of both), yielding low extraction efficiency and low resistance. High extraction efficiency and high resistance can only be obtained for devices with a low absorption coefficient.

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3. Quality factor optimization

To find the optimal performance in terms of either responsivity or specific detectivity we have to formulate an equation that describes the dependence of the absorption efficiency η on the absorption coefficient α of the QCD, which is valid regardless of the used cavity. To obtain the results for a particular example, one needs to obtain the different Q-factors that describe the cavity and use it in the equation. The temporal coupled mode theory [24] is a powerful tool that can be used to evaluate such a problem. We obtain the following equation for the absorption efficiency:

η=21QcQd4(ω0ω1)2+(1Qc+1Qd+1Ql)2,
where Qc is the so-called cavity Q-factor that describes the coupling of the resonator mode to freespace radiation, Qd the detector Q-factor that describes the intersubband absorption strength of the QCD material, Ql the loss Q-factor describing the total loss of the device and ω0 the resonance frequency of the cavity mode. The spectral width of a mode with a given Q-factor can be obtained using ωFWHM = ωres/Q. We assume in this analysis a constant frequency ω = ω0, such that the frequency dependent term in Eq. 5 vanishes. With this equation we evaluate the impact of variations of the different Q-factors on the performance of the device. To obtain the behavior of the resonant cavity photodetector under ideal circumstances, we initially neglect all losses and set 1Ql=0. We can calculate the responsivity and specific detectivity as a function of n2D and d, by combining Eq. (5) with Eqs. (1) and (2) and applying it to the values from Fig. 2.

Figure 3 shows the responsivity and detectivity as a function of n2D and d for a coupling strength of Qc = 200. The maximum of the responsivity for each fixed doping density occurs at the critical coupling condition, i.e. when η is maximum or, equivalently, Qc = Qd. If we look at the responsivity at a higher doping density, its maximum occurs at a higher barrier thickness, because a thicker barrier is necessary to maintain the same detector absorption. However, the maximum of the specific detectivity does not occur at the critical coupling condition. For a fixed doping density the maximum of the detectivity is at thicker barriers than the responsivity. The reason is the inclusion of the resistance in its definition, which is larger for thicker barriers. Generally formulated, the maximum of the specific detectivity occurs at a lower value of Qd than Qc. For different values of Qc, we will find the maxima at different values of n2D and d, or equivalently at a different Qd. Also, the magnitude of the overall maxima will change depending on Qc.

 figure: Fig. 3

Fig. 3 Calculated responsivity and Detectivity at T = 300K versus the barrier thickness and sheet doping density. All losses were neglected and 1Ql was set to zero. The maximum of the responsivity occurs for the so-called critical coupling condition, i.e. when the absorption efficiency is maximal or equivalently when Qd = Qc. The maximum of the specific detectivity occurs at a lower Qd.

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The behavior of the maximum responsivity and the maximum specific detectivity versus Qc, under ideal conditions, is shown in Fig. 4. Both show an increase for higher values of Qc. The responsivity has a steep initial increase, because in this region the transition gets more diagonal and the extraction efficiency rises. For even higher Q-factors, the extraction efficiency saturates, and thus the responsivity converges towards the maximum responsivity for this wavelength and for a chosen number of 30 periods. The specific detectivity is directly proportional to the responsivity and the square root of the resistance. We have seen that for high values of Qc, and thus high values of Qd, the responsivity saturates. However, since the resistance increases with Qd, the specific detectivity gets arbitrarily large.

 figure: Fig. 4

Fig. 4 Optimum responsivity and specific detectivity versus the cavity Q-factor, where the losses are neglected. For each value of Qc, Qd(n2D, d) was optimized for R and then again for Dj*. The optimum of the responsivity occurs at the critical coupling condition, when Qc = Qd. The steep initial increase of the responsivity at low Qc comes from the increasing extraction efficiency. At higher values of Qc, it converges to the maximal achievable responsivity for η = 0.5 at λ = 8μm and for the chosen number of 30 periods. The specific detectivity has an additional R0 term in its definition. For higher detector Q-factors Qd, the resistance is also increasing. That means, without losses, there is no theoretical limit for the specific detectivity.

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In reality, losses of different origins impose an upper limit to reasonable Q-factors. The most dominant loss mechanisms originate from the finite dimensions of the cavity (often referred to as the horizontal Q-factor) and free carrier absorption in the waveguide. The impact of loss in the system is evaluated by a combined loss Q-factor, that is obtained by using the following summation

1Ql=i1Qi,i{1,2,3,,N}
where Qi are the loss Q-factors from N different sources. The horizontal Q-factor is strongly dependent on the device geometry. In the case of a photonic crystal cavity it is higher for a larger number of photonic crystal periods. Using an electromagnetic solver [25], we estimated the horizontal Q-factor by exciting a two-dimensional photonic crystal mode and obtain the evanescent decay of the mode. We calculated for a 100 × 100μm2 device a horizontal Q-factor of approximately 2000 at a wavelength of 8μm, which can be increased further by making the resonator larger. Typical waveguide losses of dielectric slabs are in the range of 5 – 20cm−1, which corresponds to Q-factors in the range of Ql = 103 – 104. Figure 5 shows the absorption efficiency as a function of Qc for different values of Ql. If 1/Ql ≠ 0, the critical coupling condition, changes to 1/Qd = 1/Qc + 1/Ql. Without loss, the maximum absorption efficiency is independent of Qc. An increasing loss gives a decreasing upper limit for reasonable detector Q-factors.

 figure: Fig. 5

Fig. 5 Optimum absorption efficiency versus Qc for different values of waveguide losses. For each value of Qc and given Ql, Qd was optimized for η. The optimum occurs at the critical coupling condition, which changes to 1/Qd = 1/Qc + 1/Ql, if losses are taken into account. An increasing loss imposes an upper limit for reasonable detector Q-factors.

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To further investigate the consequences of a mismatch between optimally designed Q-factors and a possible deviation, Fig. 6 shows the absorption efficiency of four devices, each with a different value of Qc, versus the detector Q-factor Qd. If no loss is included, the absorption efficiency of each curve has a maximum at Qc = Qd. On a logarithmic x-scale, all peaks have the same shape and are symmetric, centered around Qc. For a factor of two between optimal Qd and actual Qd, the absorption efficiency is still at approximately 90% of its peak value, independent of Qc. The inclusion of loss reduces the maximum absorption efficiency. However, the curve retains its shape, thus giving the same impact of a Q-factor mismatch as without losses.

 figure: Fig. 6

Fig. 6 Absorption efficiency for different values of Qc versus the QCD Q-factor, without any losses. The absorption efficiency gets maximal for Qc = Qd. For a mismatch of a factor of two the absorption efficiency is still at approximately 90% of its peak value. When loss is included the limit of the absorption efficiency decreases for higher losses, but the shape remains, giving the same impact of a Q-factor mismatch as without losses.

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The maximum performance of a resonant cavity QCD is evaluated for a range of values of total loss Q-factor in Fig. 7. At zero loss, the responsivity converges to the maximum achievable responsivity of 107mA/W, which is obtained from Eq. 1 with η = 0.5, pe = 1 at λ = 8μm and 30 periods. By making 1/Ql larger, i.e. increasing the total losses, the maximum responsivity is obtained at lower values of 1/Qd and 1/Qc. When Ql has the same order of magnitude as Qd, the responsivity decreases significantly. However, the specific detectivity is proportional to the responsivity and the square root of the resistance. While the responsivity decreases for higher Ql, the specific detectivity compensates the reduction by an increase of the resistance. The maximum of the specific detectivity is found at higher values of Qd than for the responsivity. The most important consequence is, that a reduction of loss, increases the specific detectivity significantly.

 figure: Fig. 7

Fig. 7 Optimum responsivity and specific detectivity for this QCD design, versus the cavity Q-factor Qc for different Ql. For each value of Qc, Qd(n2D, d) was optimized for R and then again for Dj*. For increasing Ql, the responsivity converges against the maximum achievable responsivity of 107mA/W for η = 0.5 at this wavelength and 30 periods at T = 300K. For lower Ql, the optimal performance is only achieved with a QCD of equivalently lower absorption.

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4. Conclusion and outlook

We have presented a detailed analysis of a resonant cavity quantum cascade photodetector utilizing a diagonal-transition scheme. The diagonality of the optically active transition was introduced as new means to obtain quality factor matching between the photodetector and the resonant cavity. Neglecting losses and for high Q-factors, the maximum of the responsivity converges to its highest possible value for η = 0.5 and the chosen number of periods. The maximum of the specific detectivity gets arbitrarily large for increasing Q-factors. In reality such high values are inhibited by losses. We calculated the influence of varying losses on the device performance to obtain reasonable values for a detector Q-factor to design QCDs. The impact of a mismatch between designed Q-factors and possible deviations was analyzed. A deviation by a factor of two of Qc from its optimum value for given Ql and Qd, but keeping the correct resonance position, reduces the absorption efficiency by only 10%. The responsivity and specific detectivity was calculated for a range of loss values. The calculation predicts a possible responsivity of 95mA/W and a specific detectivity of approximately 109 Jones at T = 300K for QCDs with a diagonal optically active transition and optimized Q-factors. The optimum detectivity was obtained with a sheet carrier density of n2D = 4.9×1010 cm−2 and a barrier width of d = 4.8nm. The resonance width is approximately 0.3cm−1.

Acknowledgments

The authors acknowledge the support by the Austrian Science Funds (FWF) in the framework of the Doctoral School Building Solids for Function (project W1243), the project NextLite (SFB F49-09) and the FP7 EU-project ICARUS.

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Figures (7)

Fig. 1
Fig. 1 Bandstructure of the diagonal-transition QCD that is used for this analysis. It is based on a diagonal-transition scheme, thus the resistance, the extraction efficiency and the absorption can be controlled by the thickness of the barrier between the active wells, indicated by the shaded green region.
Fig. 2
Fig. 2 Absorption coefficient α, extraction efficiency pe and resistance R0 as two-dimensional plots versus the thickness of the active barrier and the sheet doping density at T = 300K. Standard QCDs have a typical absorption coefficient in the range of 1000 – 2000cm−1. Such high absorption is obtained for either a low barrier thickness or a high doping density (or a combination of both), yielding low extraction efficiency and low resistance. High extraction efficiency and high resistance can only be obtained for devices with a low absorption coefficient.
Fig. 3
Fig. 3 Calculated responsivity and Detectivity at T = 300K versus the barrier thickness and sheet doping density. All losses were neglected and 1 Q l was set to zero. The maximum of the responsivity occurs for the so-called critical coupling condition, i.e. when the absorption efficiency is maximal or equivalently when Qd = Qc. The maximum of the specific detectivity occurs at a lower Qd.
Fig. 4
Fig. 4 Optimum responsivity and specific detectivity versus the cavity Q-factor, where the losses are neglected. For each value of Qc, Qd(n2D, d) was optimized for R and then again for D j *. The optimum of the responsivity occurs at the critical coupling condition, when Qc = Qd. The steep initial increase of the responsivity at low Qc comes from the increasing extraction efficiency. At higher values of Qc, it converges to the maximal achievable responsivity for η = 0.5 at λ = 8μm and for the chosen number of 30 periods. The specific detectivity has an additional R 0 term in its definition. For higher detector Q-factors Qd, the resistance is also increasing. That means, without losses, there is no theoretical limit for the specific detectivity.
Fig. 5
Fig. 5 Optimum absorption efficiency versus Qc for different values of waveguide losses. For each value of Qc and given Ql, Qd was optimized for η. The optimum occurs at the critical coupling condition, which changes to 1/Qd = 1/Qc + 1/Ql, if losses are taken into account. An increasing loss imposes an upper limit for reasonable detector Q-factors.
Fig. 6
Fig. 6 Absorption efficiency for different values of Qc versus the QCD Q-factor, without any losses. The absorption efficiency gets maximal for Qc = Qd. For a mismatch of a factor of two the absorption efficiency is still at approximately 90% of its peak value. When loss is included the limit of the absorption efficiency decreases for higher losses, but the shape remains, giving the same impact of a Q-factor mismatch as without losses.
Fig. 7
Fig. 7 Optimum responsivity and specific detectivity for this QCD design, versus the cavity Q-factor Qc for different Ql. For each value of Qc, Qd(n2D, d) was optimized for R and then again for D j *. For increasing Ql, the responsivity converges against the maximum achievable responsivity of 107mA/W for η = 0.5 at this wavelength and 30 periods at T = 300K. For lower Ql, the optimal performance is only achieved with a QCD of equivalently lower absorption.

Equations (6)

Equations on this page are rendered with MathJax. Learn more.

R = λ q h c η p e N ,
D j * = R R 0 A 4 k B T ,
Q = 2 π Energy stored Energy dissipated per cycle
Q = n 2 κ = 2 π n λ α
η = 2 1 Q c Q d 4 ( ω 0 ω 1 ) 2 + ( 1 Q c + 1 Q d + 1 Q l ) 2 ,
1 Q l = i 1 Q i , i { 1 , 2 , 3 , , N }
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