Introduction
Quantum Computing is a new paradigm of computing that uses the principles of quantum mechanics to process information. Unlike classical computers, which use bits (0 or 1), quantum computers use quantum bits (qubits) that can exist in multiple states simultaneously, enabling them to solve certain complex problems much faster than conventional computers.
Quantum computing has the potential to revolutionise fields such as cryptography, drug discovery, artificial intelligence, material science, finance and climate modelling.
Basic Principles of Quantum Computing
Quantum Bit (Qubit)
A qubit is the basic unit of quantum information.
Unlike a classical bit, which can be either 0 or 1, a qubit can exist in a superposition of both states simultaneously.
Examples of physical qubits include:
- Trapped ions
- Superconducting circuits
- Photons
- Neutral atoms
- Quantum dots
Superposition
Superposition allows a qubit to exist in multiple states at the same time until it is measured.
This enables a quantum computer to evaluate many possible solutions simultaneously, providing massive computational parallelism.
Entanglement
Quantum entanglement is a phenomenon in which two or more qubits become intrinsically linked, such that the state of one qubit instantly determines the state of the other, regardless of the distance separating them.
Entanglement allows quantum computers to perform coordinated computations beyond the capabilities of classical systems.
Quantum Interference
Quantum algorithms use interference to amplify the probability of correct solutions while suppressing incorrect ones, thereby increasing computational efficiency.
How Quantum Computers Differ from Classical Computers
| Feature | Classical Computer | Quantum Computer |
| Basic Unit | Bit (0 or 1) | Qubit |
| Processing | Sequential/Parallel | Quantum Parallelism |
| Data Representation | Binary | Superposition |
| Speed | Limited for certain complex problems | Exponentially faster for specific problems |
| Applications | General-purpose computing | Specialized computational problems |
Technologies Used
Major quantum computing technologies include:
- Superconducting qubits
- Trapped-ion quantum computers
- Photonic quantum computers
- Neutral atom quantum computers
- Topological quantum computing (under development)
Applications
Cryptography
Quantum computers can efficiently solve mathematical problems underlying many existing public-key cryptographic systems, such as RSA and Elliptic Curve Cryptography (ECC), necessitating the development of post-quantum cryptography.
Drug Discovery
They can simulate molecular interactions and protein structures more accurately, accelerating the discovery of new medicines and vaccines.
Artificial Intelligence
Quantum machine learning may improve:
- Pattern recognition.
- Optimisation.
- Large-scale data analysis.
Material Science
Quantum simulations can help design:
- Better batteries.
- High-temperature superconductors.
- Advanced semiconductors.
- Novel industrial materials.
Climate and Weather Modelling
Quantum computing can improve simulations of:
- Climate systems.
- Ocean circulation.
- Weather forecasting.
- Carbon capture technologies.
Finance
Applications include:
- Portfolio optimisation.
- Risk analysis.
- Fraud detection.
- Option pricing.
Logistics
Quantum optimisation can improve:
- Supply chain management.
- Traffic routing.
- Airline scheduling.
- Manufacturing processes.
Advantages
- Solves certain optimisation problems much faster than classical computers.
- Enables accurate simulation of quantum systems.
- Accelerates scientific research.
- Enhances artificial intelligence and machine learning.
- Improves complex decision-making and optimisation.
Challenges
Decoherence
Qubits lose their quantum properties when interacting with the external environment, introducing errors into computations.
Error Correction
Quantum systems are highly susceptible to noise, requiring sophisticated quantum error correction techniques and many physical qubits to create a single reliable logical qubit.
Cryogenic Requirements
Many quantum computers, especially those using superconducting qubits, must operate at temperatures close to absolute zero using liquid helium.
Scalability
Building large-scale, fault-tolerant quantum computers remains a significant engineering challenge.
High Cost
Quantum hardware is expensive to build, maintain and operate.
Quantum Computing in India
National Quantum Mission (NQM)
Launched in 2023 with an outlay of ₹6,003.65 crore for the period 2023–24 to 2030–31, the mission aims to establish India as a global leader in quantum technologies.
Objectives
- Develop intermediate-scale quantum computers with 50–1,000 physical qubits over the mission period.
- Advance quantum communication and secure quantum networks.
- Develop quantum sensors and metrology.
- Promote quantum materials and devices.
- Build a skilled quantum workforce and strengthen indigenous research.
Implementing Ministry
Department of Science and Technology (DST) under the Ministry of Science and Technology.
Major Areas
- Quantum Computing
- Quantum Communication
- Quantum Sensing
- Quantum Materials
Global Developments
Countries investing heavily in quantum technologies include:
- United States
- China
- European Union
- Canada
- Japan
- United Kingdom
- Australia
Leading companies include:
- IBM
- Microsoft
- Intel
- IonQ
- Rigetti
- Quantinuum
Significance
Quantum computing is considered a strategic frontier technology due to its potential impact on:
- National security.
- Defence.
- Cybersecurity.
- Scientific research.
- Healthcare.
- Economic competitiveness.
- Space technology.
Way Forward
- Increase investment in quantum research and indigenous hardware.
- Develop fault-tolerant and scalable quantum computers.
- Strengthen international collaboration.
- Accelerate development of post-quantum cryptography.
- Build quantum-ready human resources through education and research.
- Foster industry–academia partnerships to translate research into commercial applications.
Conclusion
Quantum computing represents a transformative leap beyond classical computing by harnessing the principles of quantum mechanics. Although large-scale practical quantum computers are still under development, their potential to solve previously intractable problems makes them one of the most strategically important technologies of the 21st century. For India, initiatives like the National Quantum Mission provide a significant opportunity to build indigenous capabilities, enhance technological self-reliance and emerge as a global leader in the quantum era.



