Quantum computers promise revolutionary breakthroughs in processing power, but they also pose a severe threat to current cryptographic systems. Post-Quantum Cryptography (PQC) refers to cryptographic algorithms designed to be secure against both classical and quantum attacks. This chapter explains what PQC is, why it matters, the algorithms involved, and how organizations can prepare for a quantum-secure future.
Post-Quantum Cryptography is the field of cryptographic research focused on developing algorithms that are secure even against the immense computational power of quantum computers. These algorithms are not based on the hard mathematical problems that quantum computers can easily solve, such as:
Integer factorization (breaks RSA)
Discrete logarithms (breaks Diffie-Hellman and ECC)
PQC aims to create algorithms resistant to quantum threats while still being efficient on classical computers.
Quantum computers can run algorithms that drastically reduce the time needed to break traditional encryption:
Shor’s Algorithm: Can factor large numbers in polynomial time, effectively breaking RSA and ECC.
Grover’s Algorithm: Speeds up brute-force attacks on symmetric algorithms, though AES and SHA-2 still remain relatively secure with longer keys.
Classical Algorithm | Vulnerable To | Status |
---|---|---|
RSA | Shor’s | Broken |
ECC | Shor’s | Broken |
AES-128 | Grover’s | Weakened |
SHA-256 | Grover’s | Weakened |
ECC relies on the discrete logarithm problem, which is also easily solvable by Shor’s algorithm.
Impact: Any encrypted data captured today could be decrypted in the future when quantum computers mature — known as “Harvest Now, Decrypt Later” attacks.
The goals of PQC are to:
Develop encryption and signature algorithms secure against quantum attacks
Be efficient and practical for implementation on current hardware
Enable smooth migration from classical cryptography
Maintain compatibility with existing protocols like TLS, VPNs, SSH, etc.
Here are some major classes of quantum-resistant algorithms:
Based on hard lattice problems (Learning with Errors, Shortest Vector Problem)
Efficient and widely studied
Example: CRYSTALS-Kyber (encryption), CRYSTALS-Dilithium (signatures)
Uses hash functions (e.g., Merkle trees)
Very secure and well understood
Example: SPHINCS+
Based on decoding random linear codes
Resistant for decades
Example: Classic McEliece
Uses multivariate quadratic equations
Example: Rainbow (not selected by NIST)
The National Institute of Standards and Technology (NIST) launched a global competition to standardize PQC algorithms.
Encryption: CRYSTALS-Kyber
Signatures: CRYSTALS-Dilithium, SPHINCS+
These algorithms will form the future of secure communication, replacing RSA and ECC.
Post-quantum versions of TLS (TLS 1.3) are being tested
Google and Cloudflare have run experiments using hybrid (RSA + PQC) connections
PQC-ready versions of OpenVPN, Signal, and WireGuard are under research
Signed software and firmware using PQC-resistant signatures will ensure long-term integrity
Challenge | Description |
---|---|
Larger Key Sizes | PQC keys are often much larger than RSA/ECC |
Performance Overhead | Some PQC algorithms are slower or more memory intensive |
Compatibility | Existing systems may require updates to support new algorithms |
Migration Complexity | Requires updating certificates, protocols, and devices |
Post-Quantum Cryptography is not a hypothetical concern — it's a necessary evolution in securing data in the coming age of quantum computing. Classical cryptographic systems are vulnerable, and PQC aims to future-proof digital security by developing algorithms resistant to quantum and classical attacks alike.