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The QWAV Decade: Enterprise p-Adic Computing 2025-2035

9 min read · 2,070 words · 31 sectionsEnergy per answerNothing to type: what this paper says, and where to read it

In the paper's words

Computing efficiency — measured by Joules Per Computational Unit (JPCUB †) — will be the dominant competitive axis in enterprise computing by 2035. This document forecasts the JPCUB ecosystem's evolution across three eras. Era 1: Benchmark (2025-2028) — JPCUB is validated against public hardware data, and the first enterprise adopters deploy JPCUB in procurement.

The abstract, verbatim, and its opening sentence is the claim. Every line below is quoted from the text.

Numbers it reports

  1. Year Milestone Status 2033 JPCUB is a standard metric alongside TCO in enterprise procurement Aspirational 2033 $\geq 3$ major cloud providers publish JPCUB for 100% of compute instances Aspirational 2034 p-adic arithmetic primitives (native p-adic number representation) enter $\geq 1$ processor architecture Aspirational 2035 JPCUB-optimized processor achieves 10× efficiency improvement over 2026 baseline at iso-workload $\dagger$ Design target

    from Key Developments
  2. Hardware vendors: Competition shifts from "more FLOPS" to "better JPCUB." A processor that is 10× more efficient at the same workload dominates the market.

    from Enterprise Adoption Profile — Era 3
  3. If the EU Energy Efficiency Directive amendment is delayed past 2035, adoption in Eras 2-3 extends by 3-5 years.

    from 5. Risks and Caveats
  4. Three trends make JPCUB's timing critical: Data Center Energy Growth: Global data center electricity consumption is projected to reach 1,000 TWh/year by 2026 — approximately 3% of global electricity — and may double by 2030.

    from 1.1 Why JPCUB Now?
  5. This processor would achieve JPCUB = 10× current best at iso-workload $\dagger$ — a design target derived from p-adic structural constraints, not incremental engineering improvements.

    from 4.2 The p-Adic Processor (Era 3)
  6. Computing efficiency — measured by Joules Per Computational Unit (JPCUB $\dagger$) — will be the dominant competitive axis in enterprise computing by 2035.

    from Abstract

How it is done

No section of this paper is shaped like a method, so no method sentence is quoted.

What would falsify it

The paper's text states no explicit falsification criterion; the limits below are what it says about where the claim stops.

Where the claim stops

  1. Cross-Architecture Validation Risk: JPCUB's cross-architecture normalization is not yet validated (jpcub-validation project, 2026).

    from 5. Risks and Caveats
  2. If normalization fails for GPU/TPU/FPGA, JPCUB's scope contracts to CPU-only — less commercially impactful.

    from 5. Risks and Caveats
  3. The "metric that becomes the standard" scenario assumes convergence on one metric.

    from 5. Risks and Caveats

Where to read

  1. Abstract135 words · 1 min
  2. 1. What Is JPCUB?284 words · 1 min
  3. 2. Three Eras of JPCUB Adoption707 words · 3 min
  4. 3. Competitive Landscape: Who Will Adopt First?189 words · 1 min
  5. 4. Technology Roadmap: From JPCUB to p-Adic Computing260 words · 1 min
  6. 5. Risks and Caveats153 words · 1 min
  7. 6. Recommendations for QWAV120 words · 1 min
  8. 7. The Alternative: What If JPCUB Fails?222 words · 1 min

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