Software Platform for LFSR-Mersenne Twister Pseudo-Random Sequence Generation and Predictability Analysis
2d ago
Developed software demonstrating classical PRNGs (LFSR, MT) are structurally predictable and hackable, while quantum random sequences remain cryptographically secure against all tested prediction methods.
#QuantumSecurity #Cryptography #RandomnessTheory
You might also wanna read
Transformers Can Learn to Predict Permuted Congruential Generator Sequences Through Curriculum Learning and Scaling Laws
This research paper investigates whether Transformer models can learn to predict sequences generated by Permuted Congruential Generators (PC
Formal Framework for LLM-Verifier Systems: Convergence Theorem and 4/δ Latency Bound
This research paper presents a formal framework for integrating Large Language Models with Formal Verification tools, addressing reliability
Shor's algorithm: the one quantum algo that ends RSA/ECC tomorrow
blog.ellipticc.com·6mo ago
Challenges in Generating Randomness for Computing Applications
Computer scientists explore the challenges of generating suitable randomness in computing applications and the reliance on hash functions. T
Speculative Speculative Decoding: Parallelizing LLM Inference for Faster Performance
Researchers introduce speculative speculative decoding (SSD), a novel technique to accelerate large language model inference by parallelizin
Cloudflare Introduces Merkle Tree Certificates for Post-Quantum Internet Security
Cloudflare is introducing Merkle Tree Certificates as part of its post-quantum cryptography initiative to protect internet security against
