面向数据中心的量子弹性安全：基于 QRNG-RoT FPGA 框架及现场演示.pdf

1、1|Lattice Semiconductor ConfidentialMamta Gupta AVP,Marketing Lattice SemiconductorCarlos Abellan CEO,QusideOct 2025Trust infrastructure for secure and intelligent computeLattice Semiconductor Confidential2Trust infrastructure is evolvingQuantum-safe,hybrid and crypto-agile cryptographic systems req

2、uired globally.June 23rd,2025A Coordinated Implementation Roadmap for the Transition to Post-Quantum CryptographyJune 23rd,2025Roadmap for the migration to post-quantum cryptography for the Government of Canada(ITSM.40.001)August 4th,2025Senators Propose Bipartisan Bill to Establish National Strateg

3、y for Migrating to Quantum Computing CybersecurityDigital trustCryptographyEntropy(a.k.a.,random numbers)Lattice Semiconductor Confidential3The Fundamentals of Digital Trust Require ModernizationCryptography/Algorithmic layer/Entropy Physical layerBoth quantum-safe algorithms and strong entropy are

4、essential for security systemsThe“entropy blindness”gapEntropy must be verified in runtimeExplosion of key needs in Agentic AIHybrid&agility intensify entropy needsRequired from TLS to RoT coresWhat we deliver today:Locally Verified Entropy at scaleoRuntime verified entropy via quantumoUltrafast per

5、formance via photonicsoHigh volume scale via semiconductorsThe two key components of a quantum-resistant Digital Trust systemLattice Semiconductor Confidential4Entropy sources shall be locally verified,in runtimeNever trust,always verify.4-level randomness frameworkLearn more at*:https:/bit.ly/qrng-

6、paperLevel 4:Quantified uncertaintyLevel 3:Engineered chaosLevel 2:Opportunistic randomnessLevel 1:Illusion of randomnessLattice Semiconductor Confidential5Locally verified entropyLocally Verified Entropy-Zero trust principles applied to entropy layerRandom number generator01101001011Statistical tes