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This work presents a substantial evolution of the Multibinary Computing paradigm previously formalized by the author, integrating three major architectural innovations: (1) a Multibinary Coprocessor on Module (MCM) implemented as an independent System-on-Module housing CPU, GPU or TPU, dedicated RAM, microcontrollers and its own thermal dissipation, mounted on the system's global motherboard; (2) an Extended Masked Multibinary Space (EMS) that generalizes the natural mapping φ: {0,1}^m → Z_{2^m} to a mapping φ': {0,1}^m → Z_N with N > 2^m, through parameterized mask families of the form {0 ↦ k_0, 1 ↦ k_1 : k_0, k_1 ∈ {1,...,N}}; and (3) a Dual-Tile Pseudo-Superpositional Emulation (DT-PSE) architecture that uses two symmetric SRAM regions — a Simulator Tile and a Scanner Tile — interconnected via integrated silicon photonics and supervised by an embedded NPU unit that infers patterns of constructive and destructive interference over Pascalian probabilistic distributions.
The system preserves the rigorous mathematical formulation of the original multibinary paradigm — operations in finite rings Z_{2^m}, invertible Pascalian transformations with det P_k(α) = 1, and modular block-wise exponentiation — and extends it through a probabilistic formulation where distributions over EMS emulate, in a classical and deterministic manner, behaviors analogous to quantum superposition and interference without requiring coherence or cryogenic temperatures. Honest analyses of thermodynamic feasibility, energy cost compared with real quantum systems (IBM Q, IonQ), H100 GPUs and v5e TPUs are provided, as well as a quantitative evaluation of potential environmental impact. Theoretical results indicate an estimated reduction of three orders of magnitude in capital cost and two orders of magnitude in energy consumption compared with cryogenic quantum infrastructure, while maintaining capabilities superior to traditional binary processing for combinatorial, cryptographic, and neural inference problems.
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Title Evolutionary Multibinary Computing: Quasi-Quantum Coprocessor Architecture with Pascalian Pseudo-Superpositional Emulation
This work presents a substantial evolution of the Multibinary Computing paradigm previously formalized by the author, integrating three major architectural innovations: (1) a Multibinary Coprocessor on Module (MCM) implemented as an independent System-on-Module housing CPU, GPU or TPU, dedicated RAM, microcontrollers and its own thermal dissipation, mounted on the system's global motherboard; (2) an Extended Masked Multibinary Space (EMS) that generalizes the natural mapping φ: {0,1}^m → Z_{2^m} to a mapping φ': {0,1}^m → Z_N with N > 2^m, through parameterized mask families of the form {0 ↦ k_0, 1 ↦ k_1 : k_0, k_1 ∈ {1,...,N}}; and (3) a Dual-Tile Pseudo-Superpositional Emulation (DT-PSE) architecture that uses two symmetric SRAM regions — a Simulator Tile and a Scanner Tile — interconnected via integrated silicon photonics and supervised by an embedded NPU unit that infers patterns of constructive and destructive interference over Pascalian probabilistic distributions.
The system preserves the rigorous mathematical formulation of the original multibinary paradigm — operations in finite rings Z_{2^m}, invertible Pascalian transformations with det P_k(α) = 1, and modular block-wise exponentiation — and extends it through a probabilistic formulation where distributions over EMS emulate, in a classical and deterministic manner, behaviors analogous to quantum superposition and interference without requiring coherence or cryogenic temperatures. Honest analyses of thermodynamic feasibility, energy cost compared with real quantum systems (IBM Q, IonQ), H100 GPUs and v5e TPUs are provided, as well as a quantitative evaluation of potential environmental impact. Theoretical results indicate an estimated reduction of three orders of magnitude in capital cost and two orders of magnitude in energy consumption compared with cryogenic quantum infrastructure, while maintaining capabilities superior to traditional binary processing for combinatorial, cryptographic, and neural inference problems.
Work type Technical
Tags multibinary computing, quantum alternative, coprocessor on module, thermodynamic computing, fpga/asic, extended masked space, integrated photonics, pseudo-superpositional emulation, finite rings, pascal's triangle
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Identifier 2605175685618
Entry date May 17, 2026, 6:11 PM UTC
License All rights reserved
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Author 100.00 %. Holder Santos Antonio Fraustro Solis. Date May 17, 2026.
Information available at https://www.safecreative.org/work/2605175685618-evolutionary-multibinary-computing-quasi-quantum-coprocessor-architecture-with-pascalian-pseudo-superpositional-emulation
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