(GIST OF YOJANA) Quantum Computing: Transforming Technology

(May-2023)

Quantum Computing: Transforming Technology

Introduction:

Quantum computing differs from traditional computing, which uses ‘bits’—binary digits of 0s and 1s to represent information.
However, quantum computing uses quantum bits or ‘qubits’ which can exist in multiple states simultaneously, instead of just two states (i.e., 0 and 1).
This property of qubits, known as ‘superposition’ allows quantum computers to perform many computational calculations orders of magnitude faster than classical computing.
Further, quantum computing also borrows inspiration from another property of quantum mechanics called entanglement, wherein two qubits could be connected in such a way that the state of one qubit intrinsically affects the state of the other qubit.
Nations and industries are slowly and steadily gearing up to leverage the quantum computing wave through strategic collaborations and investments in research and innovation.

Impact of Quantum Computing:

Given India’s growing capabilities in the space of information technology (IT) and IT-enabled services, the future of quantum computing is going to drastically revolutionise the skill needs and capabilities of the emerging skill force, which is gradually gearing up in the space of data science, artificial intelligence, machine learning, and decision sciences.
Faster data analysis in industrial data science applications: Quantum computers can perform certain types of calculations significantly faster than classical computing logic. As these types of computations increase in scope and scale, this could enable faster data analysis for business problems in the era of big data, particularly for large datasets created with high velocity.
Improved machine learning outcomes: Machine learning algorithms are increasingly being used for predictive capabilities and enhanced data-driven decision-making.
Quantum computers could potentially improve machine learning by enabling more efficient optimization of these algorithms so that computer vision capabilities become more efficient, accurate, and fast.
Further, in applications of generative artificial -intelligence, quantum computing could provide better recommendations since it is possible to create architectures that analyse real-time additions to the web of knowledge in the digital world to create advice.
Improved optimization for complex problems: Many analytics problems involve finding the optimal solution to a complex problem. Quantum computers can potentially solve these problems much faster than classical computers, enabling more efficient optimization of corn plex systems.
Improved industrialisation: Realisation of industrial maturity levels such as Industry 4.0 and beyond, through platforms like digital twins would be enabled through quantum computing. The Distributed computing networks, federated learning, ‘Internet of Everything’, blockchain, and related technologies can be envisioned to become more efficient in terms of achieving their desired objectives computationally as well as in terms of quality of outcome.
Improved process : efficiencies in digital transformation: Quantum computing may result in faster process automation by analysing real-time data generated in the organisation processes.