Why in the News?
The Raman Research Institute (RRI), Bengaluru team has mastered the Leggett–Garg Inequality (LGI)–based quantum randomness certification technique.
What is Quantum Randomness?
- Overview: Quantum randomness means true unpredictability, results that even nature or science cannot predetermine. They arise from the laws of quantum physics, not from computer programs or hidden causes.
- Ordinary Computers: In normal computers, random numbers come from formulas called pseudorandom generators. They look random but can be predicted if someone knows the starting point (the “seed”).
- Quantum Systems: In quantum physics, when you measure something tiny, like the spin of an electron or the path of a light particle (photon), the result is decided only at the moment of measurement. No one, not even nature, “knows” the answer before that.
- Why it Matters: True randomness is important for data security, safe online transactions, scientific research, and encryption, where predictability can lead to hacking or errors.
What has RRI achieved?
- Discovery: Scientists at the Raman Research Institute (RRI), Bengaluru, led by Prof. Urbasi Sinha, have found a way to create and verify true quantum randomness using a regular cloud-based IBM quantum computer.
- Why it’s Important: Earlier, proving quantum randomness needed expensive lab equipment. Now it can be done remotely and cheaply, accessible to anyone with internet and quantum cloud access.
- How it Works: The RRI team used just one qubit (the quantum version of a computer bit) to show that the randomness came from quantum effects, not from hardware noise or computer errors.
- Key Finding: This demonstrates that even imperfect quantum computers can still generate trustworthy and verifiable random numbers, a capability that classical computers cannot achieve.
What is the Leggett–Garg Inequality (LGI)–Based Test?
- Basic Idea: The Leggett–Garg Inequality (LGI) is a scientific test that checks whether something behaves like everyday objects (predictable) or like quantum systems (unpredictable).
- How it was Used: The RRI scientists measured one qubit at three different times to see if its behavior followed normal physics or quantum rules.
- Two Conditions Checked:
- LGI Violation – confirmed the qubit was behaving in a truly quantum way.
- No Signalling in Time – ensured that each measurement was independent and not influenced by the previous one.
- Result: Meeting both tests proved that the numbers generated were certified as truly random, coming purely from quantum physics, not from any background noise or interference.
Real-life Applications:
- Cybersecurity: Such randomness can make unbreakable encryption keys, protecting sensitive data from hackers.
- Cloud Computing: People using quantum computers online can now access trusted random numbers for research or secure systems anywhere in the world.
- Testing Quantum Machines: Helps scientists check the quality of quantum computers, since randomness shows how genuinely quantum the machine is.
- Better Science: Used in simulations, artificial intelligence, and data analysis where unpredictability makes results more reliable.
- Big Scientific Message: Confirms that the quantum world is truly uncertain, proving one of the most fascinating truths of modern science, that randomness is built into nature itself.
[UPSC 2025] Consider the following statements:
I. It is expected that Majorana 1 chip will enable quantum computing. II. Majorana 1 chip has been introduced by Amazon Web Services (AWS). III. Deep learning is machine learning. How many of the statements given above are correct? (a) I and II only (b) II and III only (c) I and III only * (d) I, II and III |
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