Post-quantum cryptography encompasses cryptographic algorithms, typically based on lattice-based cryptography, hash-based signatures, or code-based systems, engineered to resist cryptanalytic attacks executed on a sufficiently powerful quantum computer. Unlike quantum key distribution, PQC is a software-based solution deployable on existing classical hardware, designed to replace current public-key cryptosystems like RSA and ECC, which are vulnerable to Shor's algorithm.
Glossary
Post-Quantum Cryptography

What is Post-Quantum Cryptography?
Post-quantum cryptography (PQC) refers to cryptographic algorithms designed to secure data against attacks from both classical and large-scale quantum computers, ensuring long-term confidentiality and integrity.
The primary goal is to ensure long-term data confidentiality and integrity in a future where large-scale quantum computers can break current asymmetric standards. Standardization efforts, led by NIST, are actively selecting and formalizing these new algorithms, including CRYSTALS-Kyber for key encapsulation and CRYSTALS-Dilithium for digital signatures, to facilitate a global migration to a quantum-resistant infrastructure.
Primary Families of Post-Quantum Cryptography
The five major families of cryptographic algorithms believed to resist attacks from large-scale quantum computers, as identified by the NIST Post-Quantum Cryptography Standardization process.
Frequently Asked Questions
Clear, technically precise answers to the most common questions about cryptographic systems designed to resist quantum attacks and their critical role in future-proofing privacy-preserving machine learning.
Post-quantum cryptography (PQC) refers to cryptographic algorithms designed to remain secure against cryptanalytic attacks mounted by large-scale, fault-tolerant quantum computers. The necessity arises from Shor's algorithm, which efficiently solves the integer factorization and discrete logarithm problems that underpin virtually all currently deployed public-key cryptography, including RSA and Elliptic Curve Cryptography (ECC). A sufficiently powerful quantum computer would render these classical systems completely broken, exposing all encrypted communications, digital signatures, and key exchange protocols to retroactive and future decryption. PQC algorithms rely on mathematical problems believed to be hard for both classical and quantum computers, such as lattice problems, code-based decoding, multivariate polynomial systems, and hash-based signatures. The transition is urgent due to the harvest now, decrypt later threat, where adversaries capture encrypted data today with the expectation of decrypting it once quantum capabilities mature.
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Explore the foundational cryptographic primitives and schemes that constitute the post-quantum landscape, directly enabling the next generation of privacy-preserving machine learning.

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.
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