Open access peer-reviewed chapter

Experimental and Numerical Study of an Optoelectronics Flexible Logic Gate Using a Chaotic Doped Fiber Laser

Written By

Juan Hugo García-López, Rider Jaimes-Reátegui, Samuel Mardoqueo Afanador-Delgado, Ricardo Sevilla-Escoboza, Guillermo Huerta-Cuéllar, Didier López-Mancilla, Roger Chiu- Zarate, Carlos Eduardo Castañeda-Hernández and Alexander Nikolaevich Pisarchik

Submitted: 27 November 2017 Reviewed: 15 February 2018 Published: 05 November 2018

DOI: 10.5772/intechopen.75466

From the Edited Volume

Recent Development in Optoelectronic Devices

Edited by Ruby Srivastava

Chapter metrics overview

1,114 Chapter Downloads

View Full Metrics

Abstract

In this chapter, we present the experimental and numerical study of an optoelectronics flexible logic gate using a chaotic erbium-doped fiber laser. The implementation consists of three elements: a chaotic erbium-doped fiber laser, a threshold controller, and the logic gate output. The output signal of the fiber laser is sent to the logic gate input as the threshold controller. Then, the threshold controller output signal is sent to the input of the logic gate and fed back to the fiber laser to control its dynamics. The logic gate output consists of a difference amplifier, which compares the signals sent by the threshold controller and the fiber laser, resulting in the logic output, which depends on an accessible parameter of the threshold controller. The dynamic logic gate using the fiber laser exhibits high ability in changing the logic gate type by modifying the threshold control parameter.

Keywords

  • optical logic devices
  • optoelectronics
  • fiber laser
  • chaos

1. Introduction

An important advantage of erbium-doped fiber lasers (EDFLs) over other optical devices is a long interaction length of the pumping light with active ions that leads to a high gain and a single transversal-mode operation for a suitable choice of fiber parameters. The EDFL with coherent radiation at the wavelength of 1560 nm is an excellent device for applications in medicine, remote sensing, reflectometry, and all-optical fiber communications networks [1, 2]. Rare-doped fiber lasers subjected to external modulation from semiconductor pump lasers are known to exhibit chaotic dynamics [3, 4, 5, 6, 7, 8, 9, 10, 11, 12]. Besides, a very important advantage of the EDFL working in a chaotic regimen is its application to the development of basic logic gates [13], since it can process different logical gates and implements diverse arithmetic operations. The simplicity in switching chaotic EDFL between different logical operations makes this device more suitable for general proposes than traditional computer architecture with fixed wire hardware.

Using a chaotic system as a computing device was proposed by Sinha and Ditto [14], who applied for this purpose a chaotic Chua’s circuit with a simple threshold mechanism. After this pioneering work, chaotic computational elements received considerable attention from many researchers who developed new designs allowing higher capacity for universal general computing purposes enable to reproduce basic logic operations, such as AND, OR, NOT, XOR, NAND, and NOR [15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]. Likewise, a single chaotic element has the ability in reconfiguring into different logic gates through a threshold-based control [15, 16]. This device is also known as reconfigurable chaotic logic gate (RCLGs) and, due to its inherent nonlinear components, has advantages over standard programmable gate array elements [19] where reconfiguration is obtained by interchanging between multiple single-purpose gates. Also, discrete circuits working as RCLGs were proposed to reconfigure all logic gates [17, 18]. Additionally, reconfigurable chaotic logic gates arrays (RCGA), which morph between higher-order functions, such as those found in a typical arithmetic logic unit (ALU), were invented [20]. Recently, some of the authors of this work proposed an optoelectronics flexible logic gate based on a fiber laser [27, 28].

Here, we describe in detail the implementation of the optoelectronics flexible logic gate based on EDFL, which exploits the richness and complexity inherent to chaotic dynamics. Using a threshold controller, NOR and NAND logic operations are realized in the chaotic EDFL.

This chapter is an extension of the article “Optoelectronic flexible logic gate based on a fiber laser. Eur. Phys. J. Special Topics. 2014” [27]. It is organized as follows. The theoretical model of the diode-pumped EDFL is described in Section 2. The experimental setup of the optical logic gate based on the EDFL is given in Section 3. Likewise, the discussion of theoretical and experimental results on the application of the NAND and NOR logic gates based on the EDFL as a function of the threshold controller is presented in Section 4. Finally, main conclusions are given in Section 5.

Advertisement

2. Theoretical arrangement

The EDFL is known to be extremely sensitive to external disturbances, which can destabilize its normal operation. This makes this device very promising for many applications where small-amplitude external modulation is required to control the laser dynamics. The mathematical model and experimental arrangement of the EDFL used in this work have been developed by Pisarchik et al. [6, 7, 8, 9, 10, 11, 12].

2.1. EDFL theoretical model

Based on the power balance approach, we model diode-pumped EDFL dynamics by considering both the excited-state absorption (ESA) in erbium at the 1560-nm wavelength and the averaged population inversion along the pumped active fiber laser. The model addresses two evident factors, the ESA at the laser wavelength and the depleting of the pump wave at propagation along the active fiber, leading to undumped oscillations experimentally observed in the EDFL without external modulation [6, 12]. The energy-level diagram of the theoretical model used in this work is shown in Figure 1.

Figure 1.

Erbium-doped fiber laser energy diagram.

Using a conventional system for EDFL balance Equations [6, 7], which describe the variations of the intra-cavity laser power P (in units of s−1), that is, the sum of the contrapropagating waves’ powers inside the cavity and the averaged population N (dimensionless variable) in the upper laser level “2,” we can write EDFL equations as follows:

dPdt=2LTrPrωα0Nξη1αth+PspE1
dNdt=σ12rωPπr02ξN1Nτ+PpumpE2

where N can take values between 0 ≤ N ≤ 1 and is defined as N=1n0L0LN2zdz, with N2 as the upper laser-level population density “2,” n0 is the refractive index of an erbium-doped fiber, and L is the length of the active fiber medium; σ12 is the cross section of the absorption transition from the state “1” to the upper state “2,” σ12 is the stimulated cross section of the transition in return from the upper state “2” to the ground state “1,” in magnitude practically are the same, that is, σ21 = σ12, that gives ξ=σ12+σ21σ12=2; η=σ23σ12 is the coefficient ratio between excited-state absorption (σ23) and the ground-state absorption cross sections (σ12); τr=2n0L+l0c is the photon round-trip time in the cavity (l0 is the length intra-cavity tails of FBG couplers); α0=N0σ12 is the small-signal absorption of the erbium fiber at the laser wavelength (N0 = N1 + N2 is the total erbium ions’ populations density in the active fiber medium); αth=γ0+ln1/RB2L is the cavity losses at threshold (γ0 being the passive fiber losses, RB is the total reflection coefficient of the fiber Bragg grating (FBG) couplers); τ is the lifetime of erbium ions in the excited state “2″; rω is the factor addressing a match between the laser fundamental mode and erbium doped core volumes inside the active fiber, given as

rω=1exp2r0ω02,E3

where r0 is the fiber core radius and w0 is the radius fundamental fiber mode. The spontaneous emission Psp into the fundamental laser mode is taken as

Psp=y103τTτλgω02r02α0L4π2σ12.E4

Here, we assume that the erbium luminescence spectral bandwidth (λg being the laser wavelength) is 10−3. Ppump is the laser pump power given as

Ppump=PP1expβα0L1Nn0πr02L,E5

where Pp is the pump power at the fiber entrance and β=αpα0 is the dimensionless coefficient that accounts for the ratio of absorption coefficients of the erbium fiber at pump wavelength λp to that at laser wavelength λg. Eqs. (1) and (2) describe the laser dynamics without external modulation. We add the modulation to the pump parameter as:

Ppump=Pp01+Amsin2πFmt,E6

where Pp0 is the laser pump power without modulation, Am and Fm are the modulation amplitude and frequency, respectively.

We perform numerical simulations for the laser parameters corresponding to the following experimental conditions from references [6, 7]: L = 90 cm, n0 = 1.45 and l0 = 20 cm, giving Tr = 8.7 ns, r0 = 1.5 × 10−4 cm, and w0 = 3.5 × 10−4 cm. The value of w0 is measured experimentally and using Eq. (3) resulting in rw = 0.308. The coefficients characterizing the resonant-absorption properties of the erbium fiber at the laser and pump wavelengths are α0 = 0.4 cm−1 and β = 0.5 (corresponding to direct measurements for doped fiber with erbium concentration of 2300 ppm); σ12 = σ21 = 3 × 10−21 cm2 and σ23 = 0.6 × 10−21 cm2 giving ξ = 2 and η = 0.2; τ = 10−2 s [6, 7]; γ0 = 0.038 and RB = 0.8 with a cavity losses at threshold of αth = 3.92 × 10−2. The laser wavelength is λg = 1.56 × 10−4 cm (photon energy hvg = 1.274 × 10−19 J) corresponding to the maximum reflection coefficients of both FBG’s.

The laser threshold is defined as ε = Pp/Pth, where

Pth=Nthτn0πp2L1expβα0L1ythE7

is the threshold pump power, Nth=1ξ1+αthrωα0 is threshold population of the level “2” and the radius of the pump beam wp = w0. In the numerical simulations, we choose the pump power Pp = 7.4 × 1019 s−1 that yields the laser relaxation oscillation frequency f0  30 kHz.

In order to understand the dynamics of the EDFL, the bifurcation diagram of the local maxima of the laser power versus the pump modulation frequency Fm is calculated. To perform numerical simulations, we normalize Eqs. (1) and (2) (as described in the appendix of reference [29]) and obtain the following equations:

dxdt=axybx+cy+rω,E8
dydt=dxyy+rω+e1expβα0L1N2+rωξ2rω,E9

Figure 2 presents the time series of the laser intensity at the following driven frequencies: (a) Fm = 3 kHz, the laser behavior is chaotic, (b) Fm = 4 kHz, the EDFL response is a period 4, (c) Fm = 3 kHz, the EDFL response is a period 3, (d) Fm = 7 kHz, the EDFL response is a period 2, (e) Fm = 10 KHz, chaos, (f) Fm = 15 kHz and (g) Fm = 20 kHz, a period 1 with decreasing amplitude as the modulation frequency is increased.

Figure 2.

Time series of laser intensity P, with Am = 1, and (a) Fm = 3 kHz, (b) Fm = 4 kHz, (c) Fm = 3 kHz, (d) Fm = 7 kHz, (e) Fm = 10 kHz, (f) Fm = 15 kHz, and (g) Fm = 20 kHz.

The constant parameters of Eqs. (8) and (9) are shown in Table 1 [30].

Constant parameterValues (a.u.)
a6.6207 × 107
b7.4151 × 106
c0.0163
d4.0763 × 103
e506

Table 1.

Normalized constant parameters of Eqs. (8) and (9).

Figure 3 shows the numerical bifurcation diagram of the laser peak intensity versus the modulation frequency (0–20 kHz) for the 100% modulation depth (Am = 1). The laser dynamical behavior (periodic or chaotic) is determined by the modulation frequency.

Figure 3.

Numerical bifurcation diagram of laser peak intensity versus modulation frequency (Fm) for Am = 1.

In this work, we are interested in a chaotic regime. Figure 4 shows the times series corresponding to chaos for Fm = 10 kHz.

Figure 4.

Time series of laser intensity P for Fm = 10 kHz and Am = 1.

Advertisement

3. Implementation of the optoelectronics flexible logic gate using the EDFL

Figure 5 shows the scheme of the proposed optoelectronics flexible logic gate using the EDFL. The reconfigurable logical gate contains two principal elements: a chaotic EDFL and a threshold controller. The dynamics behavior of the EDFL is described by the balance Eqs. (1) and (2). The threshold controller compares laser power P with value VT generated by the controller that releases output VT = E if P > E and VT = P otherwise, with E as threshold value. This output signal VT is added to the diode pump current Ppump with a coupling coefficient K. The logic gate output subtracts VT from P yielding V0 = P − VT. Next, we consider the laser and the controller models separately.

Figure 5.

Arrangement of the optoelectronics logic gate. E is the threshold controller, Vc determines the logic response, I1,2 is the logic input which takes the value of either Vin or 0, VT is the output controller signal, P is the laser output intensity, Ppump is the diode laser pump intensity, Pp is the continuous component of the pumping, Am and Fm are the modulation depth and frequency, and K is the gain factor.

3.1. Threshold controller

In our numerical simulations, we use the laser power P calculated by Eqs. (1), (2), and (6) as the input signal for the threshold controller. The output signal VT from the controller is used to control the diode pump current as:

Ppump=Pp1+Amsin2πFmt+KVTE10

The threshold controller has two logic inputs 0 and 1, which generate the corresponding values I1 and I2, where I1,2 = 0 for input 0 and I1,2 = Vin otherwise, where Vin is a certain value to define the threshold for E. A type of the logic gate is determined by a parameter Vc. The procedure to obtain this parameter is explained in detail in section Results and Discussions.

The controller generates an initial value E defined by the inputs I1 and I2 being either 0 or Vin and takes the value:

E=Vc+I1+I2E11

so that there are three possible options:

E=VCfor00,VC+Vin,for0VinVin0,VC+2Vin,forVinVin.E12

The controller output is determined as:

VT=EifP>E,PifPE.E13

where VT becomes the threshold signal.

Figure 6 shows the electronic circuits in the controller to generate E, VR, V0, and Ppump signals. The electronic components used in the controller are presented in Table 2.

Figure 6.

Electronic circuits of the threshold controller.

Electronic componentValue
R1–R9100 Ω
R10–R15, R17, R19–R2810 kΩ
R16100 KΩ
R182.2 MΩ
C1, C2100 μF
D1, D2Zener diode
OA1 − OA6LM741CN
I/OPhoenix connector

Table 2.

Parameters for electronic components of circuits shown in Figure 6.

3.2. EDFL experimental arrangement

The experimental arrangement presented in Figure 7 consists of EDFL pumped by a laser diode (LD) from Thorlabs PL980 operating at 1560 and 977 nm, respectively. The Fabry-Perot fiber laser cavity with total length of 4.81 m is formed by an active, long EDFL of 88-cm length, and a 2.7-μm core diameter, incorporating two fiber Bragg gratings (FBG1 and FBG2) with 0.288 and 0.544-nm full widths on half-magnitude bandwidth, having, respectively, 〜100% and 〜96% reflectivity at the laser operating wavelength. A fiber laser formed by an erbium doped fiber (EDF) and two Bragg gratings (FBG1 and FBG2), is externally driven by the harmonic pump signal Ppump=Pp1+Amsin2πFmt+KVT (through a sum circuit CI 741) applied to a diode pump laser (LD) current via a laser diode controller (LDC) from a wave function generator (WFG). A single-mode fiber is used to connect the optical components.

Figure 7.

Experimental scheme of the optoelectronics logical gate based on EDFL.

The current and temperature of the LD are controlled by a laser diode controller (LDC) (Thorlabs ITC510). The 145.5-mA pump current is selected to guarantee that the laser relaxation oscillation frequency is around Fr = 30 kHz to provide a 20-mW power; which is above a 110-mA EDFL threshold current. A harmonic modulation signal Amsin2πFmt from wave function generator (WFG) (Tektronix AFG3102) is supplied to the diode pump current. The fiber laser output after passing through a polarization controller (P), wavelength division multiplexer (WDM), and an optical isolator (OI) is recorded with a photodiode (PD), and the electronic signal is compared with the signal generated by the threshold controller. The threshold controller with E=Vc+I1+I2 is a summing circuit (CI 741) with dynamical control signal Vc and inputs logic signals I1,2 controlled by a USB NI 6803, VT is a comparator circuit between laser intensity P and threshold controller E. The logic gate output V0 is sent back to the driver (Ppump) of the EDFL to change its dynamics. The signals P from the EDFL, I1,2, VT, and V0 from the threshold controller are analyzed with a multichannel oscilloscope.

Advertisement

4. Results and discussions

4.1. Numerical results

In order to use the arrangement of the optoelectronics logic gate shown in Figure 5, it is necessary to determine Vc and Vin signals and find the required logic gates NAND or NOR. The value of Vc was gradually changed (−20 V < Vc < 2 V) and for each value of Vc the value of Vin was changed (2 V < Vin < 20 V). Figure 8 shows the values of Vc versus Vin which we use to determine the logical gates NAND and NOR. If we set the parameter Vin = 10 V and Vc varies from −1 to −9 V, we get the NOR gate; but if Vc changes from −11 to −20 V, the NAND gate is used.

Figure 8.

Diagram of values for Vc and Vin to determine the logic gate type, either NAND or NOR.

The numerical results of NOR and NAND operations of the reconfigurable dynamic logic gate Eqs. (1), (2), and (10)(13) are shown in Figure 9 for Am = 1 V and Fm = 10 kHz.

Figure 9.

Numerical simulation results. (a)–(b) inputs I1,2, (c) dynamical control signal Vc, (d) threshold controller signal VT, (e) logic gate output V0, and (f) recover logic output from signal V0.

For the time interval from t = 0 to 6.5 ms, we have a NOR logic gate, where the signal from Vc = − 3 V to Vin = 15 V produces three different combinations of the threshold controller VT as

  1. For input I1,2=VinVin, E=27 resulting in PE and the threshold level VT=P, that yields V0=0.

  2. For input I1,2=0Vin/Vin0, E=12 resulting in PE and the threshold level VT=P, that yields V0=0.

  3. For input I1,2=00, E=Vc=3 resulting in P>E and the threshold level VT=E, that yields V0=PE.

For the time interval from t = 6.5 to t = 13 ms, Figure 9 shows a NAND logic gate, where the signal from Vc = −20 V to Vin = 15 V produces three different combinations of the threshold controller VT as

  1. For input I1,2=VinVin, E=Vc+I1+I2=Vc+2Vin=10 resulting in PE and the threshold level VT=P, that yields V0=0.

  2. For input I1,2=0Vin/Vin0, E=Vc+I1+I2=Vc+Vin=5 resulting in P>E and the threshold level VT=E, that yields V0=PE.

  3. For input I1,2=00, E=Vc=20 resulting in P>E and the threshold level VT=E, that yields V0=PE.

4.2. Experimental results

Similar to the results of the numerical simulations, a change was made in the parameters for Vc versus Vin to determine required NAND or NOR logic gates. Figure 10 shows the values of Vc versus Vin which we use to determine the NAND and NOR logic gates. If we set the parameter Vin = 160 mV and changes Vc = −10.7 mV, we get the NOR gate, but if we change Vc = −170.3 mV, the NAND gate is used.

Figure 10.

Diagram of values for Vc and Vin to determine the logic gate type, either NAND or NOR.

Figure 11 and Table 3 show the experimental results of the dynamic NOR and NAND logic operations for Am = 700 mV, Fm = 15 kHz, and Vin = 200 mV. The NOR gate corresponds to the time series from t = 0 ms to t = 8 ms for Vc = ©40 mV, and for the NAND gate for the time series from t = 8 to t = 16 ms for Vc = −220 mV. By comparing Figure 9 with Figure 11, we can see a good agreement between the numerical and experimental results.

Figure 11.

Experimental results. (a)–(b) inputs I1,2, (c) dynamical control signal Vc, (d) threshold controller signal VT, (e) logic gate output V0, and (f) recover logic output from signal V0.

(I1, I2)TimeThreshold controller EVTVO
(mV)(ms)(mV)(mV)(mV)
NOR003–4E=Vc40EPVO=PVT=PE
7–8VT=E
Vin0orVin01–3E=Vc+Vin160E>PVO=PVT=PP=0
5–7VT=P
VinVin0–1E=Vc+2Vin360E>PVO=PVT=PP=0
4–5VT=P
NAND0011–12E=Vc˜220EPVO=PVT=PE
15–16VT=E
Vin0orVin09–11E=Vc+Vin20EPVO=PVT=PE
13–15VT=E
VinVin8–9E=Vc+2Vin180E>PVO=PVT=PP=0
12–13VT=P

Table 3.

Experimental data for implementation of NOR and NAND optoelectronics logical gates.

Advertisement

5. Conclusions

In this chapter, we have described the implementation of an optoelectronics logic gate based on a diode-pumped EDFL. We have demonstrated good functionality of our system for NOR and NAND logic operations, taking advantage of optical chaos and a threshold controller. The system was controlled by a split signal from the threshold controller, allowing the diode pump laser to mismatch between the output threshold controller signal and the output EDFL signal. The numerical results obtained from the EDFL equations have displayed good agreement with the experimental results. We have demonstrated that the chaotic dynamic behavior of the diode-pumped EDFL and the electronic threshold controller can be successfully used to obtain NAND or NOR logic gates to be constructive bricks of different logic systems. The main contribution of the developed optoelectronics logic gate is addressed in optical computing. The proposed device is more adaptable and faster than a conventional wired hardware, since it can be implemented as an arithmetic processing unit or an optical memory RAM.

Advertisement

Acknowledgments

We gratefully acknowledge support and funding from the University of Guadalajara (UdeG), (R-0138/2016) under the project: Equipment of the research laboratories of the academic groups of the CULAGOS with orientation in optoelectronics, Agreement RG/019/2016-UdeG, Mexico.

References

  1. 1. Digonnet M, Snitzer E. Rare earth doped fiber lasers and ampliers. In: Digonnet MJF, editor. Marcel Dekker, Chapter 5; 1993. ISBN-13: 978-0824704582, ISBN-10: 0824704584
  2. 2. Luo LG, Chu PL. Optical secure communications with chaotic erbium-doped fiber lasers. Journal of the Optical Society of America B. 1998;15:2524-2530. DOI: https://doi.org/10.1364/JOSAB.1-5.002524
  3. 3. Saucedo-Solorio JM, Pisarchik AN, Kiŕyanov A V, Aboites V. Generalized multistability in a fiber laser with modulated losses. Journal of the Optical Society of America B. 2003;20:490-496. DOI: https://doi.org/10.1364/JOSAB.20.000490
  4. 4. Pisarchik AN, Barmenkov YuO, Kiryanov AV. Experimental characterization of the bifurcation structure in an erbium-doped fiber laser with pump modulation. IEEE Journal Quantum Electronics. 2003;39:1567-1571. DOI: 10.1109/JQE.2003.819559
  5. 5. Pisarchik AN, Barmenkov Yu O, Kiryanov AV. Experimental demonstration of attractor annihilation in a multistable fiber laser. Physical Review E. 2003;68. DOI: https://doi.org/10.1103/PhysRevE.68.066211
  6. 6. Reátegui RJ, Kiryanov AV, Pisarchik AN, Barmenkov Yu O, Ilichev NN. Experimental study and modelling of coexisting attractors and bifurcations in an erbium-doped fiber laser with diode-pump modulation. Laser Physics. 2004;14:1277
  7. 7. Pisarchik AN, Kiryanov AV, Barmenkov Yu O, Jaimes-Reategui R. Dynamics of an erbium-doped fiber laser with pump modulation: theory and experiment. Journal of the Optical Society of America B. 2005;22:2107. DOI: https://doi.org/10.1364/JOSAB.22.002107
  8. 8. Huerta-Cuellar G, Pisarchik AN, Barmenkov Yu O. Experimental characterization of hopping dynamics in a multistable fiber laser. Physical Review E. 2008;78. DOI: https://doi.org/10.1103/PhysRevE.78.035202
  9. 9. Pisarchik AN, Jaimes-Reátegui R. Control of basins of attraction in a multistable fiber laser. Physics Letters A. 2009;374:228. DOI: https://doi.org/10.1016/j.physleta.2009.10.061
  10. 10. Huerta-Cuellar G, Pisarchik AN, Kiryanov AV, Barmenkov Yu O, Del Valle Hernández J. Prebifurcation noise amplification in a fiber laser. Physical Review E. 2009;79:1. DOI: https://doi.org/10.1103/PhysRevE.79.036204
  11. 11. Pisarchik AN, Jaimes-Reátegui R, Sevilla-Escoboza R, Huerta-Cuellar G, Taki M. Rogue waves in a multiestable system. Physical Review Letters. 2011;107:1. DOI: https://doi.org/10.1103/PhysRevLett.107.274101
  12. 12. Pisarchik AN, Jaimes-Reátegui R, Sevilla-Escoboza JR, Huerta-Cuellar G. Multistable intermittency and extreme pulses in a fiber laser. Physical Review E. 2012;86:1. DOI: https://doi.org/10.1103/PhysRevE.86.056219
  13. 13. Ditto WL, Murali K, Sinha S. Chaos computing: Ideas and implementations. Philosophical Transactions of the Royal Society A. 2008;366:653-664. DOI: 10.1098/rsta.2007.2116
  14. 14. Sinha S, Ditto W L. Dynamics based computation. Physical Review Letters. 1998;81;2156. DOI: https://doi.org/10.1103/PhysRevLett.81.2156
  15. 15. Sinha S, Munakata T, Ditto WL. Flexible parallel implementation of logic gates using chaotic elements. Physical Review E. 2002;65:1. DOI: https://doi.org/10.1103-/PhysRevE.65.036216
  16. 16. Sinha S, Ditto WL. Computing with distributed chaos. Physical Review E. 1999;60:363. DOI: https://doi.org/10.1103/PhysRevE.60.363
  17. 17. Murali K, Sinha S, Ditto W L. Construction of a reconfigurable dynamic logic cell. Pramana. 2005;64:433. DOI https://doi.org/10.1007/BF02704569
  18. 18. Murali K, Sinha S, Ditto WL. Implementation of a NOR gate by a chaotic chua’s circuit. International Journal of Bifurcation and Chaos. 2003;13:2669. DOI: https://doi.org/10.1142-/S0218127403008053
  19. 19. Taubes G. Computer design meets Darwin. Science. 1997;277:1931. DOI: https://doi.org/10.1126/science.277.5334.1931
  20. 20. Ditto W, Sinha S, Murali K. US Patent Number 07096347. 2006
  21. 21. Prusha BS, Lindner J F. Nonlinearity and computation: implementing logic as a nonlinear dynamical system. Physics Letters A. 1999;263:105. DOI: https://doi.org/10.1016/S0375-9601(99)00665-9
  22. 22. Cafagna D, Grassi G. Dynamic behaviour and route to chaos in experimental boost converter. International Symposium on Signals, Circuits and Systems. 2005;2:745. DOI: 10.1109 /ISSCS.2005.1511348
  23. 23. Chlouverakis KE, Adams MJ. Optoelectronic realisation of NOR logic gate using chaotic two-section lasers. Electronics Letters. 2005;41:359. DOI: http://dx.doi.org/10.1049/el:20058026
  24. 24. Jahed-Motlagh MR, Kia B, Ditto WL, Sinha S. Fault tolerance and detection in chaotic computers. International Journal of Bifurcation and Chaos. 2007;17:1955-1968. DOI: https://doi.org/10.1142/S0218127407018142
  25. 25. Murali K, Miliotis A, Ditto W L, Sinha S. Logic from circuit elements that exploit nonlinearity in the presence of a moise floor. Physics Letters A. 2009;373:1346. DOI: https://doi.org/10.1016/j.physleta.2009.02.026
  26. 26. Ditto WL, Miliotis A, Murali K, Sinha S. The chaos computing paradigm. In: HeinzGeorg Schuster, editor. Reviews of Nonlinear Dynamics and Complexity. Vol. 3. Weinheim: WILEY-VCH Verlag GmbH & Co. KGaA; 2010. p. 1-35. ISBN: 978-3-527-40945-7
  27. 27. Jaimes-Reategui R, Afanador-Delgado SM, Sevilla-Escoboza R, Huerta-Cuellar G, Hugo G-LJ, Lopez-Mancilla D, Castañeda-Hernandez C, Pisarchik AN. Optoelectronic flexible logic gate based on a fiber laser. The European Physical Journal Special Topics. 2014;223:2837-2846. DOI: 10.1140/epjst/e2014-02297-4
  28. 28. García-López JH, Jaimes-Reátegui R, Afanador-Delgado SM, Sevilla-Escoboza R, Huerta-Cuellar G, Casillas-Rodríguez FJ, López-Mancilla D, Pisarchik AN. Optoelectronic flexible logic-gate using a chaotic erbium doped fiber laser, experimental results. In: Latin America Optics and Photonics Conference. OSA Technical Digest (online) (Optical Society of America, 2014), paper LTu4A.36. DOI: https://doi.org/10.1364/LAOP.2014.LTu4A.36
  29. 29. Jaimes-Reátegui R. Dynamic of Complex System with Parametric Modulation Duffing Oscillators and a Fiber Laser (Thesis). Leon, Guanajuato, Mexico: Center for Optical Research; 2004
  30. 30. Afanador Delgado SM. Implementación opto-electrónica de una compuerta lógica dinámicamente configurable usando un láser de fibra (thesis). Lagos de Moreno, Jalisco, Mexico: CULagos, University of Guadalajara; 2014

Written By

Juan Hugo García-López, Rider Jaimes-Reátegui, Samuel Mardoqueo Afanador-Delgado, Ricardo Sevilla-Escoboza, Guillermo Huerta-Cuéllar, Didier López-Mancilla, Roger Chiu- Zarate, Carlos Eduardo Castañeda-Hernández and Alexander Nikolaevich Pisarchik

Submitted: 27 November 2017 Reviewed: 15 February 2018 Published: 05 November 2018