QNFO Papers
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611 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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Quantum foundations 81Error correction 75Valuation theory 73Ultrametric 69p-adic 53Thermodynamic budgets 47Knowledge integrity 46Laws of Form 45Numbers & arithmetic 45Bruhat–Tits trees 43Spacetime & cosmology 41Adelic 38Funding & strategy 38Standard model 38Energy of computing 37Research operations 37Anyons & topology 36Metrology 35Spectral analysis 35Information theory 34Stabilizer formalism 34Teaching 33Category theory 32AI agents 29Choosing a platform 27Quantum biology 27Replication 27Numeral systems 24Energy benchmarking 23Superconducting 23Foresight 22LLM systems 19Policy & oversight 19Qubits 19Computation theory 17Formal verification 16Statistical audits 16Tree geometry 16Benchmarking 13Hardware platforms 12Proof assistants 10All 41 tags →

Energy per answer papers 4 papers

Platform builders, data-centre operators and energy analysts. What a correct answer costs in joules. Joules-per-Solution (JPCUB) definitions and measurements, Landauer and Margolus-Levitin limits, energy and power budgets, and energy benchmarking across quantum, HPC and AI hardware.

Hardware platforms. Device and architecture surveys Tagged papers: 12.

  1. Energy per answer

    Actual Demand of a Computational Substrate: A Reconciled Demand-Side and Allocation Framework for Physical Computing Platforms

    Debates about novel computational substrates—reservoir systems, post-qubit quantum architectures, thermodynamically bounded devices—are usually conducted from the supply side: what can a given physical system compute? This paper asks the complementary question posed by the QNFO programme: what is…

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    Energy of computingHardware platforms
  2. Energy per answerv2.0.0

    The Switching Economics of Hamiltonian Re-Entry Computation: A Cost-Model Comparison with Stored-Program Architectures

    Stored-program (von Neumann) architectures pay a per-operation switching cost for instruction fetch, decode, and memory traffic, while a proposed Hamiltonian-computation paradigm identifies computation with continuous dynamical trajectories that re-enter a designated operating region of phase space.…

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    Hardware platformsEnergy benchmarking
  3. Energy per answerv2.3

    JPCUB Competitive Landscape v2.0: System-Level Joules-per-Solution Estimates for 17 Quantum Computing Platforms from Published Specifications

    The JPCUB P0 protocol (https://papers.qnfo.org/papers/joules-per-solution-metric/) defines the joules-per-solution metric — total system energy per correct answer — as a universal, physics-grounded benchmark for computational platforms. The qwav.tech competitive landscape displays six platforms with…

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    Energy benchmarkingBenchmarking
  4. Energy per answer

    Thermodynamic Scaling of 4-Kelvin Topological Processors

    Standard superconducting quantum processors are currently constrained by the thermodynamic bottleneck of millikelvin dilution refrigeration, which precludes the integration of high-speed control logic and limits scalability. This reliance on the 20 mK regime creates a “mainframe constraint” where…

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    SuperconductingThermodynamic budgets

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