Beyond blockchain

Exploring Quantum Computing

Alongside blockchain engineering, I am currently studying Quantum Computing through the Indian Institute of Science (IISc), Bengaluru. It is part of a deliberate habit of continuous technical development — following the next shift in computing and the cryptography that blockchains depend on.

Indian Institute of Science (IISc), BengaluruStatus: In progress
Learning path

Classical → Blockchain → Distributed → Quantum

  1. 01Classical ComputingTesting, IT systems, software engineering
  2. 02BlockchainSmart contracts, tokens, protocols
  3. 03Distributed SystemsConsensus, cross-chain, trust models
  4. 04Quantum ComputingCurrently studying at IISc
Why it matters

Why a blockchain architect studies quantum

The questions I am learning to ask — framed as a student of the field, not as a claim of expertise.

Signatures are the exposed layer

Blockchains rely on elliptic-curve signatures such as ECDSA (secp256k1) and Ed25519. Shor's algorithm, on a sufficiently large fault-tolerant quantum computer, would break them — which is why post-quantum signature schemes matter to anyone designing long-lived on-chain systems.

Hashes degrade more gracefully

Grover's algorithm offers only a quadratic speed-up against hash functions, so primitives like Keccak-256 and SHA-256 are far less affected. Understanding that difference helps separate real risk from hype.

Crypto-agility is an architecture concern

Assets tokenized today — real estate, stablecoin reserves — may need to stay secure for decades. Designing for key rotation, upgradeable verification and migration paths is an architecture decision, not a future problem.