Quantum information, communication and computing: advances in theory and implementations

Radhika Vathsan

The most successful practical applications of quantum mechanics in information theory have been in the field of communication. This is a very old field that has taken inputs from engineering, pure mathematics and computer science apart from physics. It is only natural that application of quantum techniques here should be among the first to be considered and implemented. Modern technology in optical communication using laser light and optical fiber cables is sufficiently advanced that it can quickly be adapted to using photons as the quantum carriers of information.

János A. Bergou, Mark S. Hillery, Mark E. Saffman

Sulekh Kumar, Momita Kundu, Kamla Kumari +1 more

Quantum information theory represents a revolutionary paradigm that merges quantum mechanics with information science, fundamentally transforming our understanding of computation, communication, and information processing. This chapter provides a comprehensive examination of quantum information theory, exploring its theoretical foundations, practical applications, and transformative potential across multiple domains. We investigate the core principles including quantum bits (qubits), superposition, entanglement, and quantum interference, while analyzing their implications for quantum computing, cryptography, and communication protocols. Through systematic literature review and methodological analysis, we present current research trends, breakthrough developments, and emerging applications. The chapter addresses significant challenges including decoherence, error correction, and scalability issues that currently limit practical implementation. Our discussion encompasses quantum algorithms, quantum error correction codes, and the evolving landscape of quantum technologies. We conclude by identifying future research directions and the potential societal impact of quantum information systems, emphasizing both the unprecedented opportunities and the technical obstacles that define this rapidly advancing field.

Sándor Imre

Jincheng Zhang

Quantum information theory offers unprecedented potential for secure communication and computation, but its practical implementation often faces challenges related to optimization. This paper presents an innovative approach to quantum information processing – Adaptive Topological Structure Optimization (ATSO) – leveraging the unique properties of quantum information theory. We propose an algorithm that dynamically adjusts the topology of quantum states based on feedback from quantum information theory, enabling optimized data encoding and manipulation. This optimization process enhances the fidelity and efficiency of quantum information processing. The core mechanism centers around utilizing quantum entanglement to learn and refine the underlying topological structure, leading to superior performance compared to traditional optimization methods. The research demonstrates the effectiveness of ATSO through simulations and theoretical analysis, highlighting its potential to significantly advance the development of quantum information technologies.

Mladen Pavičić