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Chinese Physics Letters

Fractals in Quantum Information Process

Feng Bi, Chuan‐Feng Li

Published Jan 1, 2013• 3 citations
Publisher

Abstract

In the recent work of Kiss et al. [ Phys. Rev. Lett. 107 (2011) 100501 ], the evolvement of two-qubit quantum states in a measurement-based purification process is studied. As they pointed out, the purification results manifest sensitivity to the applied initial states. The convergence regions to different stable circles are depicted on a complex plane. Because of the result patterns' likeness to typical fractals, we make further study on the interesting patterns' connection to fractals. Finally, through a numerical method we conclude that the boundaries of different islands of the patterns are fractals, which possess a non-integral fractal dimension. Also, we show that the fractal dimension would vary with the change of the portion of the noise added to the initial states.

DOI
10.1088/0256-307x/30/1/010306

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In the recent work of Kiss et al. [ Phys. Rev. Lett. 107 (2011) 100501 ], the evolvement of two-qubit quantum states in a measurement-based purification process is studied. As they pointed out, the purification results manifest sensitivity to the applied initial states. The convergence regions to different stable circles are depicted on a complex plane. Because of the result patterns' likeness to typical fractals, we make further study on the interesting patterns' connection to fractals. Finally, through a numerical method we conclude that the boundaries of different islands of the patterns are fractals, which possess a non-integral fractal dimension. Also, we show that the fractal dimension would vary with the change of the portion of the noise added to the initial states.
Entanglement purification is a vital protocol to produce a high-quality entangled state from an ensemble of identical states. Based on the particular scheme of entanglement purification [Phys. Rev. A 87, 052316 (2013)], the effect of phase fluctuation is investigated. The convergence pattern of the initial states can be divided into two kinds of regions, corresponding to the purified outcomes being a maximally entangled state (MES) or a separable state. And there is the fractal-like structure near the boundary between these two regions. It is found that the phase noise plays a positive role in generating an MES for an initial states near some fractal boundary, which can only become the separable one if the noise is absent. It is also found that the minimal iteration steps to achieve the maximally entangled state with the phase noise can be decreased, which can save the resource in the protocol.
This paper explores the potential of fractal dimension as a quantum field parameter, proposing a novel algorithm that utilizes quantum entanglement to establish a non-local, probabilistic connection between the field's structure and its fractal properties. The core claim is that quantifying the fractal dimension of a field using this approach offers a radically different perspective compared to traditional methods, potentially unveiling previously unseen patterns and complexities within the field's geometry. We outline the algorithm's methodology, detailing the use of quantum entanglement to generate a probabilistic field that evolves in response to the data, ultimately leading to a refined fractal dimension estimate. This work addresses fundamental questions about the relationship between geometry, quantum mechanics, and the representation of complex systems.
Entanglement-purification protocols, developed for the sake of high-fidelity communication through noisy quantum channels, are highly nonlinear quantum operations and can offer a very useful context to studies of nonlinear complex maps. Recently it was demonstrated that the feedback mechanism used in a typical purification protocol can cause the evolution dynamics of qubits to exhibit chaos [Kiss et al., Phys. Rev. Lett. 107, 100501 (2011)]. In this work we extend the investigation by considering the natural time evolution of qubits during a purification process, leading to a number of interesting findings that reflect the competition between the natural unitary evolution of qubits and nonlinear purification operations. As a result, the overall evolution dynamics of entanglement can be much richer. Possible applications are also proposed.
This paper proposes a novel framework for quantum information processing rooted in the principles of fractal geometry. The core claim is that the dimensionality of quantum systems can be inherently linked to fractal structures, offering a fundamentally new approach to data storage and computation. We investigate the utilization of fractal patterns to encode quantum states, exploiting the enhanced information density and computational potential afforded by fractal geometry. Specifically, we explore methods for representing and manipulating quantum states within fractal spaces, utilizing concepts such as self-similarity and non-integer dimensions. The theoretical framework presented demonstrates a potential pathway to significantly increased storage capacity and more efficient quantum algorithms. The key innovation lies in the direct mapping of quantum information onto fractal landscapes, which promises to unlock new possibilities in quantum technologies. The exploration includes examining different fractal types (e.g., Mandelbrot set, Sierpinski triangle) and their suitability for specific quantum information tasks. The research highlights the potential for designing quantum systems with intrinsic fractal properties, leading to enhanced robustness and scalability. Ultimately, this work aims to establish a foundational understanding of how fractal geometry can be leveraged to revolutionize quantum information processing.
The dynamics of an ensemble of identically prepared two-qubit systems is investigated which is subjected to the iteratively applied measurements and conditional selection of a typical entanglement purification protocol. The resulting dynamics exhibits strong sensitivity to initial conditions. For one class of initial states two types of islands characterize the asymptotic limit. They correspond to a separable and a fully entangled two-qubit state, respectively, and their boundaries form fractal-like structures. In the presence of incoherent noise an additional stable asymptotic cycle appears.
This paper proposes a novel approach to quantum information compression based on fractal compression techniques. Quantum states, particularly those exhibiting inherent correlations and complex structures, possess a degree of self-similarity that can be effectively exploited. The core idea is to identify and represent these self-similar patterns using fractal compression algorithms, thereby reducing redundancy and improving storage efficiency. We demonstrate a theoretical framework for applying fractal compression to quantum information, outlining key compression algorithms and the mathematical principles underpinning the process. The efficiency of this method is evaluated through theoretical analysis and conceptual modeling, highlighting its potential advantages over traditional quantum compression methods. The core claim is that quantum information can be compressed with higher efficiency by exploiting the inherent fractal patterns within quantum states. The central mechanism involves developing compression algorithms that identify and exploit the self-similar structures within quantum states, reducing redundancy and improving storage efficiency. This work lays the groundwork for future research and development in fractal quantum compression.