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Quantum computing : back action 2006 : Kanpur, India 6-12 March 2006

Debabrata Goswami

Published Jan 1, 2006• 0 citations
OpenAlex

Abstract

This conference focused on the issue of quantum computation with a very unique perspective of its back action rather than its future, which has usually been the focus. Leading international researchers working on quantum computing from computer science, information technology, physics, and chemistry present their most recent scholarly research indicating the current impact of quantum computing on science and technology.

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Quantum computing isn't merely another step forward in technology; it represents a leap into an entirely new paradigm for understanding information. By harnessing the strange but powerful principles of quantum mechanics, quantum computers use qubits that can exist in multiple states at once, connect instantly through entanglement, and solve certain problems far faster than any classical machine. This paper explores the fundamentals of quantum computing, from its theoretical roots to the breakthroughs and setbacks shaping its present. We examine the engineering and scientific challenges - from fragile qubits to daunting scalability issues - and the immense promise they hold for fields like cryptography, artificial intelligence, drug discovery, and materials science. Finally, we consider the future impact of this technology, both its opportunities and its risks, and how it may redefine industries, research methods, and even our approach to solving humanity's hardest problems. The purpose of this paper is to examine the fundamental principles, developmental trajectory, current challenges, and prospective impacts of quantum computing across scientific, industrial, and societal domains. Given its potential to reshape computational capabilities and address complex global challenges, this study holds significance for researchers, policymakers, and industry leaders seeking to understand and navigate the transition toward quantum technologies.
Abstract Advances in quantum technologies have prompted renewed interest in computational models that extend beyond the capabilities of classical systems. Quantum computing, grounded in the principles of quantum mechanics, introduces novel mechanisms for information processing that challenge conventional assumptions in computer science. This paper critically examines the role of quantum computing across core computer science domains by integrating foundational theory with application-oriented research. Existing studies in cryptography, optimization, artificial intelligence, database search, and system simulation are analyzed to assess both demonstrated capabilities and practical constraints. The discussion emphasizes the increasing relevance of hybrid quantum–classical approaches in the current technological landscape, while identifying key limitations related to scalability, noise, and algorithmic feasibility. By consolidating theoretical insights with applied perspectives, this work provides a realistic assessment of the present state of quantum computing and outlines research directions essential for its effective integration into future computational systems.
Abstract Advances in quantum technologies have prompted renewed interest in computational models that extend beyond the capabilities of classical systems. Quantum computing, grounded in the principles of quantum mechanics, introduces novel mechanisms for information processing that challenge conventional assumptions in computer science. This paper critically examines the role of quantum computing across core computer science domains by integrating foundational theory with application-oriented research. Existing studies in cryptography, optimization, artificial intelligence, database search, and system simulation are analyzed to assess both demonstrated capabilities and practical constraints. The discussion emphasizes the increasing relevance of hybrid quantum–classical approaches in the current technological landscape, while identifying key limitations related to scalability, noise, and algorithmic feasibility. By consolidating theoretical insights with applied perspectives, this work provides a realistic assessment of the present state of quantum computing and outlines research directions essential for its effective integration into future computational systems.
Quantum computing is an emerging paradigm that leverages quantum mechanical principles, including superposition, entanglement, and interference, to perform computations beyond classical capabilities. Current devices in the Noisy Intermediate-Scale Quantum (NISQ) era face challenges such as noise, errors, and scaling limitations, yet have demonstrated early signs of quantum advantage. Applications span chemistry, materials science, optimization, cryptography, and secure communications. This review provides a comprehensive overview of quantum computing fundamentals, examines potential benefits and risks, and discusses strategies to advance quantum technologies toward practical applications, highlighting India@2047’s vision of technological leadership.