Electronic and Optical Billiards - Taylor Lab

Chaos and Fractals in Nanostructure Billiards

Nanotechnology is used to construct semiconductor devices that induce chaos (an exponential sensitivity to initial conditions) in the flow of electrons over nano-scale distances. Due to the spectacular advances made in semiconductor growth and fabrication techniques, it is possible to study ballistic electrons - where the host material is so pure and the channel size so small that electrons travel along classical trajectories determined by the shape of the device channel (Fig. 1 bottom) rather than material induced scattering events (Fig. 1 top).


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Figure 2 shows how the channel walls are formed using electrostatic gates deposited on the surface of the semiconductor. By applying a negative gate bias, depletion regions are formed in the sheet of electrons located below the surface at the interface between the layers of GaAs and AlGaAs. By shaping the gate patterns to form an enclosed region, the device becomes analogous to a billiard table (Fig. 3).

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The current project investigates billiard shapes designed to induce chaos in the classical electron trajectories. The Sinai billiard, shown in Fig. 4, is of particular interest. The 'empty' square has been predicted to support stable (i.e., non-chaotic) trajectories. By inserting a circle at the centre of the square, the billiard is transformed into the 'Sinai' geometry, named after the Russian chaologist who, back in 1972, predicted that this billiard would generate chaotic trajectories. Figure 5 shows the state-of-the-art multilevel gate architecture we use to investigate Sinai's proposal - the fundamental transition to chaotic behaviour in a controllable, physical environment. Whereas transitions to chaos have previously been observed in systems such as a pendulum and a dripping tap, here we induce the transition in the flow of fundamental particles - electrons. In addition to addressing fundamental aspects of chaology, the results are of interest to the electronics industry, where the ability to exploit the extreme sensitivity of chaotic behaviour is important. This work serves as a demonstration of the precision with which semiconductor technology can tune electronic properties of small devices.

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At milli-Kelvin temperatures, the quantum wave properties of electrons becomes important, allowing the study of 'quantum chaos' - the quantum behaviour of classically chaotic systems. As highlighted in Fig. 6, quantum behaviour can often be both surprising and remarkable! We found that the transition to the Sinai billiard was accompanied by the emergence of a form of fractal behavior known as exact self-similarity (ESS) in the billiard's magnetoconductance. This is shown in the left-hand image of Fig. 7. Exact self-similarity - the exact repetition of a pattern at different magnifications - is rare in physical systems. Whereas it is common in mathematical systems (see Fig. 7(left)), physical systems such as coastlines (see Fig. 7(right)) are described by another form of fractal behavior - statistical self-similarity (SSS), where the patterns at different magnifications are described simply by the same statistics. In contrast to the Sinai billiard, the 'empty' billiard's magnetoconductance obeys SSS. Thus the device of Fig. 4 represents a unique physical system where both forms of fractal behaviour - ESS and SSS - can be induced and the transition between the two forms studied.

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Figure 8 shows a billiard which, by tuning the relative biases applied to two central gates, is being used to identify the precise geometry required to generate ESS. If this can be established, the result opens up many fascinating possibilities.

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One example, shown in Fig. 9, is designed to study how fractal systems 'add'. If two systems - one generating ESS (left) and the other SSS (right) - are added in series, is the combined system fractal? And if so, does the current direction determine whether the magnetoresistance shows ESS or SSS? This 'artificial' capacity to design fractal systems is not possible in nature. Another fundamental question being asked is 'how does fractal behaviour disappear?' We are answering this question by studying the dependence of the fractal dimension - the parameter frequently used to quantify fractal behavior. Perhaps surprisingly, we are finding that as we adjust the billiard parameters and suppress the quantum chaos, the range of magnifications over which we observe the fractal behaviour does not diminish. Instead, the fractal dimension gradually reduces until a the non-fractal value (unity) is reached. This work is being carried out in a collaboration with Arizona State University and RIKEN laboratories (Japan).

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Coupled with these investigations, we are maximising the fractal effect (presently observed over 3 orders of magnitude in magnetic field) by refining the semiconductor environment. In a collaboration with the
University of NSW in Australia, billiards are being investigated in a semiconductor system where electrons travel over a remarkable 100 microns (ie 100 times larger than the billiard) before suffering a material-induced scattering event. In a collaboration with Cambridge University (UK), the relationship between fractal behaviour and the degree of 'softness' in the billiard's electrostatic potential profile is being studied. This is demonstrated in Fig. 10. The system consists of two parallel electron sheets located at different depths. Formed by the same surface-gates, the billiard defined in the 'deeper' electron sheet is shaped by a 'softer' profile than for the 'shallow' case. This system will also be used to study the effect of electron interaction effects on the fractal phenomenon.

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A collaboration with Nottingham University (UK) models the classical and quantum behavior of the billiards. The results indicate that the softness of the potential profile - shown in the simulation in Fig. 11 - is crucial. The softness generates a 'mixed trajectory system' composed of both chaotic and stable trajectories. Figure 12 shows a Poincare plot of the classical trajectories, revealing a remarkably rich behavior. Figure 13 shows a classical trajectory superimposed on the quantum wave function in the bottom-left corner of the Sinai Billiard. This comparison reveals a remarkable correspondence between classical and quantum behaviour - a phenomenon called 'scarring'. The central plunger is thought to act as a 'trajectory selector', controlling how the two families (chaotic and stable) of trajectories interact.

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Figure 14 shows the resulting ESS for the model Sinai billiard. These theoretical studies are being extended to, and compared with, wave chaos in light. Recent work indicates that an analogous chaotic effect can occur in optical billiards (shaped glass cavities). This phenomenon is being pursued both in terms of fundamental research and potential applications.


Chaos and Fractals in Optical Billiards

Until recently, experiments on optical wave chaos have focussed on microwave cavities. However, following a recent theoretical paper that highlighted the potential of optical systems for the study and technical exploitation of wave chaos, the above model for soft-walled electron billiards has been extended to consider hard-walled optical billiards. These calculations show that an analogous mixed trajectory system and fractal behavior can be generated by specific billiard geometries. Whereas the electron quantum interference was varied using magnetic fields, in the optical system, the interference is varied by adjusting the incident light's wavelength. The ratio of billiard size to wavelength required for the predicted fractal effect is broad. Initial studies will focus on the direct analogies with fractals in electron billiards. In particular, a 'trajectory filter' procedure can also be used in the optical billiards to generate exact self-similarity. The exact self-similarity is generated by specific stable orbits that hit the billiard walls at selected locations. Thus if the optical billiard's walls are left unsilvered except at these specified locations, the 'unwanted' trajectories that generate statistical self-similarity will escape. Figure 15 shows Poincare sections obtained in simulations of optical billiards performed by our collaborators at the Nottingham University. These Poincare sections illustrate the evolution from a non-chaotic to a chaotic phase-space as the ends of a rectangular optical cavity are tilted with respect to the sides (ie. the cavity is transformed into a parallelogram). Experiments to examine such a system will commence in the coming few months.

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Studies will be later extended to include a range of complex interference effects associated with the fractal ray dynamics, including the investigation of potential applications in the optics industry.

Selected References (1997-2006)

 

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