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QNFO Papers

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728 papers from the QNFO program, filed on nine shelves by the reader each one is written for: energy per answer, error correction, physics, numbers and p-adics, logic and formalism, AI and knowledge, autonomous systems, assessments, and cross-cutting essays. Every page renders its mathematics and can be questioned in place. How a living paper works.

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Results for “thermodynamic” 6 papers

Choosing a platform. Judging a vendor or platform before committing Tagged papers: 34.

  1. Energy per answer

    CEI Invariance: Architectures as Equivalence Classes of Causal Density and Energy Fidelity

    Computational architectures are today chosen for a substrate by benchmarking, an expensive process that must be repeated for every substrate-architecture pair and gives no guidance before hardware exists. No existing framework predicts, from thermodynamics alone, which architecture classes a…

  2. Energy per answer

    Thermodynamic Budgeting for Hybrid Quantum-Classical Computing: A Three-Layer Energy Model with Explicit Arithmetic and a 15-Month Validation Roadmap

    Hybrid quantum-classical (HQC) computing is the dominant near-term paradigm, yet its energy accounting is rarely made explicit: the classical control, readout, cryogenic, and orchestration hardware surrounding the quantum processing unit (QPU) can dominate the total power budget, eroding any…

  3. Physicsv1.3.3

    The Revolutionary Beginner's Guide to Quantum Computing: Why We Don't Have Quantum Computers Yet — and What the Geometric Alternative Offers

    A 20-chapter beginner's guide to quantum computing that starts with an honest question — why don't we have quantum computers yet? — rather than the usual "here's what a qubit is." The guide teaches the standard curriculum (qubits, entanglement, algorithms, error correction) accurately, explains why…

  4. AI & knowledgerev 14 Sep 2026v2.0.0

    The Problem-Substrate Mapping: A Framework for Honest Computational Investment

    Phase IV of the Qubit Delusion series. Translates the critique into a concrete investment portfolio: matching computational problem classes (optimization, linear algebra, probabilistic inference, quantum simulation, cryptography, general-purpose) to optimal physical substrates (Ising machines,…

  5. Energy per answer

    Quantum Abacus

    The scalability of active, gate-based quantum computers is fundamentally challenged by the “Thermodynamic Wall,” where the heat from control electronics becomes prohibitive. This study computationally investigates the “Quantum Abacus,” a passive quantum computing architecture that circumvents this…

  6. Physics

    Superconductivity Quadrangle

    The engineering of robust, decoherence-resistant topological qubits is currently impeded by a fragmented approach to material design that often treats control parameters in isolation. This study introduces and computationally validates the “Superconductivity Quadrangle,” a unified framework…

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