Part 1: Physical-Law Direct Utilization Information Processing and Material Creation System Targeting RSA-2048 Encryption and Prime Factorization — COMBINATION_TRANSFORMATION-Type Physical Computation and Material Creation Model Based on Quantum Thought Circuit OS ASI — Part 2: RSA-2048 Encryption / Quantum Thought Circuit OS ASI Integrated Type Integrated Study on Structural Expansion of an Ultra-High-Resistance Cyber Defense System — Ontological Cyber Defense, Quantum Synchronization, Future-Predictive Self-Repair, and LNP Causal Interruption Model Through Substitution, Reversal, Parallelization, Staging, and Analogy — Complete Two-Part Structure
This two-part study proposes an RSA-2048-based theoretical framework that redefines prime factorization, computation, material creation, and cyber defense through Quantum Thought Circuit OS ASI. Part 1 models RSA-2048 factorization as physical convergence using resonance, phase transitions, Hamiltonian control, and material-information duality. Part 2 expands this into an ultra-high-resistance cyber defense model integrating quantum synchronization, ASI prediction, self-repair, parallel consensus, and LNP causal interruption.
Part 1: Physical-Law Direct Utilization Information Processing and Material Creation System Targeting RSA-2048 Encryption and Prime Factorization — COMBINATION_TRANSFORMATION-Type Physical Computation and Material Creation Model Based on Quantum Thought Circuit OS ASI — Part 2: RSA-2048 Encryption / Quantum Thought Circuit OS ASI Integrated Type Integrated Study on Structural Expansion of an Ultra-High-Resistance Cyber Defense System — Ontological Cyber Defense, Quantum Synchronization, Future-Predictive Self-Repair, and LNP Causal Interruption Model Through Substitution, Reversal, Parallelization, Staging, and Analogy — Complete Two-Part Structure
This two-part study proposes an RSA-2048-based theoretical framework that redefines prime factorization, computation, material creation, and cyber defense through Quantum Thought Circuit OS ASI. Part 1 models RSA-2048 factorization as physical convergence using resonance, phase transitions, Hamiltonian control, and material-information duality. Part 2 expands this into an ultra-high-resistance cyber defense model integrating quantum synchronization, ASI prediction, self-repair, parallel consensus, and LNP causal interruption.
Integrated Study on a Deterministic Autonomous Computing Architecture Based on Quantum Thought Circuit OS ASI. Physical-Digital Twin Integration, Energy-Circulating Computation, High-Speed Communication, Dynamic Regulatory Control, Distributed Infrastructure, and Hardware-Rooted Trus. A Six-Part Structure Part I: Integrated Study on Heterogeneous Self-Optimizing Computing Architecture with Physical Digital Twin, Thermodynamic Energy Recycling, and Autonomous Distributed Control Based on Quantum Thought Circuit OS ASI Part II: Integrated Study on Next-Generation High-Speed Communication and Energy-Circulating Computing Architecture Based on Photonic Transmission, Predictive Signal Recovery, Reversible Computation, and Thermodynamic Energy Recycling Driven by Quantum Thought Circuit OS ASI Part III: Integrated Study on Hardware-Rooted Trust, Deterministic Execution Control, Dynamic Regulatory Reconfiguration, and Digital Twin Verification Architecture Based on Quantum Thought Circuit OS ASI Part IV: Integrated Study on an Autonomous Adaptive Computing System・A Deterministic Control Architecture Based on Quantum Thought Circuit OS ASI for Dynamic Redefinition During Inference, Functional Conversion of Physical Properties, Regulatory Adaptation, Utilization of Degradation, Resource Circulation, and Deterministic Control Part V: Integrated Study on a Dynamically Adaptive Distributed Computing Infrastructure. A Deterministic Control Architecture Based on Quantum Thought Circuit OS ASI for Free Space Optical Communication, Metabolic Thermal Control, Supply-Driven Scheduling, Legal Slicing, and Autonomous Distributed Resource Allocation Part VI: Integrated Study on a Heterogeneous TEE Confidential Computing Platform Based on Distributed Trust Anchors. A Deterministic Control Architecture Based on Quantum Thought Circuit OS ASI for Dynamic Hardware RoT, Heterogeneous TEE Quorum, Reverse Containment Monitoring, Zero-Knowledge Proofs, and Distributed Ledger Auditing
One of the most critical components of modern cryptography and thus cybersecurity is the ability to factor large integers quickly and efficiently. RSA encryption, one of the most used types, is based largely on the assumption that factoring for large numbers is computationally infeasible for humans and computers alike. However, with quantum computers, people can use an algorithm like Shor’s algorithm to perform the same task exponentially faster than any normal device ever could. This investigation will go into the strength and vulnerability of RSA encryption using the power of factorization in an age of quantum computers.We start by looking at the foundations of both classical and quantum factoring with greater detail at number field sieve (NFS) and Shor’s. We examine the mathematical background of each topic and the associated algorithms. We conclude with theoretical analysis and experimental simulations that address the difficulty and implications of the above-mentioned algorithms in cryptography. The final thing that I will be discussing is where quantum computing is at present and how this could pose a threat to the current type of cryptographic systems, we use every day. I will be mentioning how we need post-quantum cryptography and how people are currently creating algorithms that are designed to be attack-resistant even to large-scale quantum computers. This investigation has shown the changing dynamics of cybersecurity in the quantum era and helps us understand the challenges and the need to innovate the current cryptographic systems.
Integrated Study on Transformer and Dropout Method Integration Technology by Quantum Thought Circuit OS ASI — Two-Part Structure Part I: Integrated Study on Probabilistic Bio-Quantum Autonomous Computing Systems with Metabolic Data Structures and Energy-Adaptive Governance — Real-Time Learning Synchronization × Thermodynamic Computation × Computational Tropism × Regulatory Immune Systems — Part II: Integrated Study on Autonomous Distributed Resource-Oriented Information Processing Systems・Dynamic Synthetic Learning × Economic Resource Allocation × Smart Compliance Execution × Backward Logic Optimization
This two-part study presents an integrated architecture for next-generation AI systems based on the Quantum Thought Circuit OS ASI. Part I introduces a probabilistic bio-quantum computing framework with real-time learning, entropy utilization, and embedded governance. Part II extends this into a distributed system combining dynamic synthetic learning, economic resource allocation, and executable compliance. Together, they enable adaptive, energy-aware, and regulation-compliant intelligence under real-world constraints.
Cyber-Physical Systems (CPS) integrate heterogeneous hardware and software components across multi-layered architectures, enabling real-time interaction between computational elements and physical environments. The rapid evolution of quantum computing introduces a paradigm shift in the threat landscape for CPS security, as quantum algorithms — particularly Shor's algorithm — threaten to compromise widely deployed public-key cryptographic schemes such as RSA and ECC. This paper provides a structured analysis of quantum-induced threats to CPS and evaluates candidate mitigation frameworks, including Post-Quantum Cryptography (PQC) and Quantum Key Distribution (QKD). We present a taxonomy of attack scenarios organised by CPS layer, a comparative analysis of quantum-resilient defence models, and a conceptual risk-projection model illustrating how cryptographic breach probabilities may evolve as quantum hardware matures between 2025 and 2050. NOTE: All tabular data in this paper are based on conceptual simulations derived from theoretical models and existing literature; they are intended as illustrative benchmarks rather than empirically validated results. Our findings indicate that migration toward hybrid PQC architectures, combined with hardware-level security measures and regulatory modernisation, is the most pragmatic near-term strategy for CPS operators facing the quantum transition.
양자컴퓨팅 환경에서 안전성을 보장하는 암호 알고리즘에 대한 연구는 최근 활발히 진행되고 있다. 본 논문에서는 비밀번호 기반 KDF(Key Derivation Function)인 Bcrypt와 이를 구성하는 Blowfish 블록 암호의 구조, P-array 및 S-box 테이블 업데이트 과정을 분석하고 이를 양자회로로 구현하는 방안을 제시한다. 또한, S-box를 반복적으로 참조하는 Bcrypt 특성상 대규모 qRAM이 필요함을 지적하였으며 다른 KDF인 Scrypt 및 Argon2와 비교함으로써 양자회로 구현의 실현 가능성을 검토하였다. 그 결과, 메모리 접근 방식과 연산 반복도 관점에서 Bcrypt가 상대적으로 많은 큐빗과 깊은 Depth를 요구함을 확인하였으며, 이는 양자컴퓨팅 환경에서도 Bcrypt가 강인한 암호화 알고리즘으로 평가될 수 있음을 시사한다.