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RESOURCE · 2/1/2025

Quantum Computing

The Next Frontier in Technology

Kankana Ghosh
Kankana Ghosh
OP
Quantum Computing
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Quantum Computing: The Next Frontier in Technology


Quantum Computing Image

Table of Contents

  1. Introduction
    1.1 Differences Between Classical and Quantum Computers
    1.2 Working Principles
  2. Key Initiatives in Quantum Computing
  3. Applications of Quantum Computing
  4. Challenges
  5. Future Impact
  6. Conclusion


1. Introduction

Quantum computing leverages quantum mechanics to solve problems that classical computers cannot. Unlike classical bits (qubits), quantum bits can represent 0, 1, or both simultaneously, enabling exponentially faster computations.

1.1 Differences Between Classical and Quantum Computers

  1. Classical computers use binary bits, while quantum computers use qubits.
  2. Qubits enable parallel processing through superposition.
  3. Quantum computers excel in solving specific complex problems.
  4. Classical computers are stable, while quantum systems are prone to errors.
  5. Quantum computers require environments near absolute zero to function.

1.2 Working Principles

  • Superposition: Qubits exist in multiple states simultaneously, enabling parallel computations.
  • Entanglement: Qubits are interconnected, allowing instant data sharing regardless of distance.

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2. Key Initiatives in Quantum Computing

India

  • National Quantum Mission: Developing 50–100 qubit systems and quantum communication networks.

United States

  • IBM Quantum System One: A cloud-accessible, 127-qubit quantum computer.

China

  • Jiuzhang: A photonic quantum computer achieving quantum supremacy.

European Union

  • Quantum Flagship Program: Focused on quantum processors and communication networks.

Australia

  • Silicon-Based Quantum Project: Developing scalable quantum processors.


3. Applications of Quantum Computing

  • Healthcare: Accelerating drug discovery and molecular simulations.
  • Cryptography: Introducing quantum-safe encryption techniques.
  • AI and Machine Learning: Enhancing faster training and predictive analytics.
  • Finance: Optimizing portfolios and improving risk assessments.
  • Climate Science: Providing advanced weather models and climate change solutions.

4. Challenges

  1. High susceptibility to errors caused by environmental interference.
  2. Expensive infrastructure requiring supercooled environments.
  3. Limited availability of skilled professionals in the field.
  4. Dependency on imported hardware and specialized components.

5. Future Impact

  • Transforming industries like healthcare, logistics, and finance.
  • Driving breakthroughs in scientific research.
  • Enhancing data security with quantum-safe encryption technologies.
  • Accelerating economic growth through innovation and advanced applications.
  • Offering sustainable solutions to tackle global challenges.
    future impact

6. Conclusion

Quantum computing holds immense potential to revolutionize technology, industries, and scientific research. While challenges remain, continued investments in R&D, workforce development, and infrastructure will unlock its transformative capabilities, shaping a future powered by quantum innovation.



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