Inferensys

Glossary

Post-Quantum Cryptography

Cryptographic algorithms designed to be secure against attacks by both classical and large-scale quantum computers, encompassing lattice-based, code-based, and multivariate schemes.
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QUANTUM-RESISTANT SECURITY

What is Post-Quantum Cryptography?

Post-quantum cryptography (PQC) refers to cryptographic algorithms designed to secure data against attacks from both classical and cryptographically relevant large-scale quantum computers.

Post-quantum cryptography is the development of cryptographic primitives that run on conventional hardware but are mathematically structured to resist Shor's algorithm and other quantum attacks. Unlike quantum key distribution, which relies on physical properties, PQC replaces vulnerable RSA and Elliptic Curve Cryptography with hardness assumptions from lattice-based, code-based, and multivariate problems that remain intractable for quantum adversaries.

The NIST Post-Quantum Cryptography Standardization process has selected algorithms like CRYSTALS-Kyber for key encapsulation and CRYSTALS-Dilithium for digital signatures. Migration requires integrating these quantum-resistant primitives into existing protocols like TLS and homomorphic encryption frameworks, ensuring cryptographic agility to swap algorithms before large-scale quantum decryption becomes feasible.

CRYPTOGRAPHIC AGILITY

Key Characteristics of PQC

Post-Quantum Cryptography (PQC) refers to cryptographic algorithms designed to run on classical computers while resisting cryptanalytic attacks from both classical and large-scale quantum adversaries. These schemes are not merely theoretical; they are being standardized by NIST to replace RSA and ECC before a Cryptographically Relevant Quantum Computer (CRQC) arrives.

POST-QUANTUM CRYPTOGRAPHY

Frequently Asked Questions

Clear, technically precise answers to the most common questions about cryptographic algorithms designed to resist attacks from large-scale quantum computers.

Post-quantum cryptography (PQC) refers to cryptographic algorithms designed to be secure against cryptanalytic attacks by both classical and large-scale quantum computers. Unlike current public-key systems such as RSA and Elliptic Curve Cryptography (ECC)—which rely on the hardness of integer factorization and discrete logarithms that Shor's algorithm can efficiently solve—PQC schemes are built on mathematical problems believed to be intractable even for quantum adversaries. The primary families include lattice-based cryptography (relying on problems like Learning With Errors), code-based cryptography (using error-correcting codes), multivariate cryptography (solving systems of polynomial equations), hash-based signatures (leveraging the security of hash functions), and isogeny-based cryptography (operating on maps between elliptic curves). These schemes replace vulnerable primitives in existing protocols, ensuring long-term confidentiality and authentication.

CRYPTOGRAPHIC PARADIGM COMPARISON

PQC vs. Classical Cryptography

A comparative analysis of classical public-key cryptosystems against post-quantum alternatives across security, performance, and deployment dimensions.

FeatureRSA/ECC (Classical)Lattice-Based (PQC)Hash-Based (PQC)

Security Basis

Integer factorization / Discrete logarithm

Learning With Errors (LWE) / Shortest Vector Problem

Preimage resistance of cryptographic hash functions

Quantum Vulnerability

Public Key Size (Typical)

256 bytes (ECC) – 512 bytes (RSA-3072)

800 bytes (Kyber-768) – 1.5 KB (Dilithium)

32 bytes (SPHINCS+ public key)

Signature Size (Typical)

64 bytes (Ed25519) – 384 bytes (RSA-3072)

2.4 KB (Dilithium2) – 4.6 KB (Dilithium5)

8 KB (SPHINCS+-128s) – 50 KB (SPHINCS+-256f)

Encryption Speed (Relative)

Fast (hardware-accelerated)

Comparable to ECC (sub-millisecond ops)

Not applicable (signature-only scheme)

Maturity and Standardization

Decades of deployment; NIST SP 800-56A

NIST FIPS 203/204 (2024); growing adoption

NIST FIPS 205 (2024); conservative security choice

Side-Channel Resistance

Requires constant-time implementations

Requires masking and constant-time implementations

Inherently resistant to certain timing attacks

State Management Required

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.