Post-Quantum Cryptography (PQC) IP core
Post-Quantum Cryptography (PQC) IP cores are hardware-based solutions designed to protect semiconductor devices and SoCs against threats from quantum computers. With the rapid advancement of quantum computing, traditional encryption methods like RSA and ECC may become vulnerable. PQC IP provides quantum-resistant cryptography, ensuring that sensitive data remains secure both today and in the future.
Integrating a PQC IP core allows chip designers and semiconductor companies to future-proof their products, meeting the growing demand for secure and compliant embedded systems.
What Is a Post-Quantum Cryptography IP Core?
A Post-Quantum Cryptography IP core is a pre-designed, pre-verified hardware block that implements quantum-resistant encryption algorithms. These algorithms are specifically engineered to withstand attacks from quantum computers while maintaining high performance, low latency, and low power consumption.
Common features of PQC IP cores include:
- Quantum-Resistant Encryption Algorithms: Lattice-based, hash-based, code-based, and multivariate cryptography.
- Secure Key Generation and Management: Hardware-based generation and storage of cryptographic keys.
- Authentication and Digital Signatures: Ensures integrity and non-repudiation for sensitive communications.
- Low-Power and High-Performance Implementation: Optimized for embedded systems, SoCs, and IoT devices.
PQC IP cores are fully verified for hardware integration, making them reliable for secure SoC and ASIC designs.
Related Articles
- A Comprehensive Post-Quantum Cryptography (PQC) Solution based on Physical Unclonable Function (PUF)
- Accelerating Post-Quantum Cryptography via LLM-Driven Hardware-Software Co-Design
- eFPGA – Hidden Engine of Tomorrow’s High-Frequency Trading Systems
- Post-Quantum Cryptography: Why Open Source alone is Not Enough for Secure IP Deployment
- How to design secure SoCs Part IV: Runtime Integrity Protection
Related Products
- Agile PQC Public Key Accelerator
- PUF-based Post-Quantum Cryptography (PQC) Solution
- PQC CRYSTALS core for accelerating NIST FIPS 202 FIPS 203 and FIPS 204
- Highly-optimized PQC implementations, capable of running PQC in under 15kb RAM
- Highly configurable HW PQC acceleration with RISC-V processor for full CPU offload
See all 24 related products in the Catalog
Related News
- PQShield unveils ultra-small PQC embedded security breakthroughs
- EnSilica cuts post-quantum cryptography (PQC) silicon area with three-in-one IP block
- PUFsecurity, a subsidiary of eMemory, Achieves NIST CAVP Certification for PQC Algorithms, Launches PUFpqc Architecture for Quantum-Resilient SoCs
- Post-Quantum Cryptography Coalition Unveils PQC Migration Roadmap
- PQSecure Partners with Menta to Demonstrate Leakage-Resistant PQC IPs on eFPGA Fabric
The Pulse
- aiMotive announces aiWare5, delivering unrivalled flexibility and scalability for L2+ to L4 automotive AI workloads
- Why Vision LLMs Force A Rethink Of Edge AI Hardware
- eFPGA: The ASIC Power-Up, Not an Off-the-Shelf Substitute
- IC Manage GDP-AI Transforms IP Lifecycle Management with Generative and Agentic AI
- BrainChip Expands AI Ecosystem with Strategic Software Partners
- Cadence Joins OpenTitan as a Tools Partner to Accelerate Open-Source Silicon Security
- TES is extending its on-chip sensor IP portfolio
- UMC Announces Release of 14nm eHV FinFET Platform, Advancing Innovation in Next-Generation Smartphone Displays
- Weebit Nano raises $15 million via strongly supported SPP
- Fractile raises $220M to build the next generation of inference hardware
- Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA
- QuickLogic Announces New Seven-Figure FPGA Hard IP Contract
- A Reconfigurable Multiplier Architecture for Error-Resilient Applications in RISC-V Core
- Siemens democratizes EDA software access for European electronics industry through the Chips JU European Chips Design Platform (EuroCDP) project
- Siemens unveils AI-powered library characterization to accelerate semiconductor design