Code-Based KEMs & Encryption
Research and analysis of code-based key encapsulation and public-key encryption, including compact representations and long-term security assumptions.
Research-driven post-quantum security grounded in coding theory, structured cryptographic systems, and real-world constraints.
QSPARC Labs conducts research in post-quantum cryptography with an emphasis on code-based security and error-correcting structures. Our work explores how modern coding theory can support cryptographic systems that remain analyzable, efficient, and resilient under long-horizon threat models.
We prioritize explicit threat models, correctness analysis, and measurement-driven evaluation. Where appropriate, we develop experimental implementations and system prototypes to study trade-offs in memory, bandwidth, and computation in constrained and adversarial environments.
Research and analysis of code-based key encapsulation and public-key encryption, including compact representations and long-term security assumptions.
Design and evaluation of decoding strategies, constant-time techniques, and side-channel-aware implementations for practical cryptographic systems.
Exploring key establishment and seeded key architectures that integrate physical entropy sources and constrained-device realities.
Metrics, distance analysis, and structural tools that inform reliable and secure code-based cryptographic systems.
Designing transition-friendly approaches for post-quantum adoption, including hybrid models and deployment considerations.
QSPARC Labs contributes through peer-reviewed research, technical manuscripts, and system prototypes. Some materials are shared selectively while patent filings and review processes are in progress.
Researchers and collaborators may request access to preprints or validation notes where appropriate.
We support the post-quantum ecosystem through careful evaluation, interoperability-minded engineering, and open technical dialogue. Our focus is advancing code-based and hardware-integrated approaches that can be assessed and adopted responsibly.
We welcome collaboration on review, benchmarking methodology, and implementation alignment—especially where long-term security and data integrity are critical.
Collaborate with QSparc Labs →Lab Notes will share short, accessible updates on research themes, evaluation results, and system-level lessons as public release cycles begin.
For technical briefings or research discussions, get in touch.