Open research library
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609 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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Energy benchmarking papers 23 papers
Energy benchmarking. Measuring energy per result Tagged papers: 23.
Bottling as an Investment Decision: An Analytical Reanalysis of Cost–Quality Trade-offs in the BOTTLED Benchmark
Organisations that run millions of similar queries through large language model (LLM) APIs pay per instance, and the decision to invest in a cheaper task-specific artifact is today made by hand, if at all. The BOTTLED benchmark shows that LLM agents can make this investment autonomously — a…
A Cost-Model Benchmark for Mixed-State Quantum Simulation Workloads: Entanglement-Cost Anchors and Reuse-Aware Re-Entry Metrics
Classical simulation of quantum circuits increasingly takes the form of repeated-run workloads—variational-parameter sweeps, noisy multishot studies, and error-correction cycles—rather than isolated executions, and the target states of such workloads are frequently mixed rather than pure. This paper…
Holographic Quantum Error Correction on Bruhat–Tits Trees: A Conditional Threshold and Resource Analysis at $10^{-4}$
We assess, quantitatively and conditionally, whether a quantum error correction (QEC) architecture in which the encoding map is realized as renormalization-group (RG) flow on a Bruhat–Tits tree $\mathcal{T}_p$ — the $p$-adic analogue of hyperbolic anti-de Sitter space — can achieve a QEC threshold…
The Price of the Digital Abstraction: Entropy and Encoding Overhead When Discrete Error Models Meet Continuous Quantum Hardware
A working assumption of much quantum error correction (QEC) is that noise can be modeled as a discrete set of Pauli errors acting on two-level systems. We ask what it costs, in information-theoretic terms, to impose this digital abstraction on hardware whose native dynamics are continuous. Using the…
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.…
Parity-Protected Superconducting Qubits at 4 K: A Reconciled Thermodynamic Error-Budget Analysis
Scalable superconducting quantum computing is conventionally operated at millikelvin temperatures, where the cooling power available from dilution refrigerators is severely limited. This paper tests the conjecture that a thermodynamic bottleneck at millikelvin temperatures could be relieved by…
Thermal Quantum Sensing at High Temperature: Exact Fisher-Information Bounds, Universal Metrics, and the Work Cost of Quadratic Signals
Thermal fluctuations are usually treated as a nuisance that degrades quantum-enhanced sensing, yet for certain signal encodings heat can improve the metrological response of a probe. We study thermal quantum sensors governed by a Hamiltonian $H$ and subjected to a unitary signal…
Constant-Sized-Support Magic State Distillation with Qubit Recycling: A Reconciled Resource, Footprint, and Energy Analysis
Magic state distillation (MSD) is the canonical route to non-Clifford gates in fault-tolerant quantum computation, but conventional nested factories exhibit qubit occupancy that grows multiplicatively with the number of distillation rounds. Recent work on constant-sized-support distillation…
The Trapped-Ion Ultrametric Testbed: A Falsifiability Register for Testing p-Adic Structure in Quantum Dynamics
Sixteen published records from a single research program, spanning December 2025 to August 2026, are here organized into one testable claim: trapped-ion quantum simulators are the first near-term platform on which ultrametric (p-adic) structure in quantum dynamics can be accepted or rejected by…
Joules-per-Solution for Stochastic and Agentic Inference: Benchmarking Frontier and Agentic LLMs Against the Human Brain
The joules-per-solution (J/S) metric, introduced in JPCUB P0 as a universal, physics-grounded measure of computational efficiency, assumed deterministic solvers: one run yields one solution. Large language models (LLMs) violate that assumption twice over: they are stochastic samplers whose outputs…
QWAV Strategy v2.4.1: The Energy-Standard Playbook — Consortium Governance, Verified Precedents, and the JPCUB Road to a Quantum Computing Energy Benchmark
QWAV Quantum Software possesses a validated technical differentiator in JPCUB, but the SaaS go-to-market model carries a structural weakness. This paper proposes the JPCUB Consortium model combined with grant-funded core R&D, transforming JPCUB from a single-vendor product into a multi-stakeholder…
Trapped-Ion Qudit Quantum Computing: Due-Diligence Assessment of the Ringbauer Program
Due-diligence research note assessing the trapped-ion qudit quantum computing program led by Martin Ringbauer at the University of Innsbruck. Records the universal qudit processor (2022), the native qudit entanglement gate based on a generalized light-shift mechanism (2023), and the lattice gauge…
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…
JPCUB as a Leading Indicator of Computing Paradigm Shifts: Retrospective Validation and Prospective Forecast
Abstract The computing industry lacks a single, cross-domain metric that can compare energy efficiency across fundamentally different paradigms — CPU, GPU, neuromorphic processor, in-memory accelerator, or spintronic logic. Traditional metrics (FLOPS, MIPS, transistor count) describe what already…
Passive Error Resilience Through Ultrametric Geometry: A Proposal for p-Adic Quantum Metrology
Active quantum error correction is the dominant paradigm for achieving fault-tolerant quantum computation, but its thermodynamic cost at utility scale remains unaddressed. Each round of syndrome extraction, decoding, and feedback erases information — and under Landauer's principle, that erasure…
The Joules-per-Solution Metric: Definition, Measurement Protocol, and Anti-Gaming Provisions for Honest Computational Benchmarking
We define and formalize the joules-per-solution (J/S) metric as a universal, cross-domain measure of computational energy efficiency. The metric accounts for six energy components: computation, memory, I/O, cooling, power conversion, and amortized manufacturing. We provide a closed-form definition,…
Spectral Dynamics and Thermodynamic Stability in the Arithmetic Quantum Framework
The scalability of fault-tolerant quantum computing is currently obstructed by a “Thermodynamic Wall,” where the entropy generated by active error correction (QEC) cycles scales exponentially with the number of logical qubits. This research addresses the crisis by proposing a transition from active,…
THERMODYNAMIC AND TOPOLOGICAL CONSTRAINTS ON BIOLOGICAL QUANTUM PROCESSING
This study establishes a rigorous quantitative boundary between engineered quantum systems and biological matter, defined by the thermodynamic cost of information protection. By benchmarking the 2025 Google “Willow” superconducting processor—which requires cryogenic isolation (20 mK) and active…
Thermodynamic Viability and the Universality of Feynman Matter
The dominant paradigm for universal quantum computation, predicated on active error correction, is fundamentally constrained by a thermodynamic wall, a phase transition where the entropy produced by control operations catastrophically overwhelms the system. This study quantifies this constraint,…
Epistemic Noise as Computational Resource
The scaling of quantum information processors is currently bottlenecked by the “isolationist” paradigm, which treats environmental decoherence as an irreversible entropy increase that must be suppressed. This manuscript proposes a radical engineering shift grounded in the Superdeterministic…
Spectral Benchmarking of Holographic Quantum Simulations
The simulation of quantum gravity on near-term quantum processors is hindered by a critical tension between hardware feasibility and physical fidelity, creating an “Artifact Zone” where simplified models produce misleading, non-physical results. This paper addresses this challenge by proposing a…
Information-Theoretic Reformation of Physics
Physics must be reoriented around information-theoretic constraints rather than quantum mechanical assumptions. This reorientation requires a critical reevaluation of Planck’s constant as a curve-fitting parameter and the establishment of finite information capacity as a new axiom. The historical…
Wave-Built World
The observable universe, in all its astonishing diversity and intricate organization, is not a static collection of isolated objects but a ceaseless dance of dynamic processes. From the quantum fluctuations that shape the very fabric of spacetime itself to the rhythmic swing of pendulums, the…
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