{
  "id": "oai:papers.qnfo.org:qwav-decade",
  "slug": "qwav-decade",
  "title": "The QWAV Decade: Enterprise p-Adic Computing 2025-2035",
  "authors": [
    "Rowan Brad Quni-Gudzinas"
  ],
  "abstract": "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. Era 2: Adoption (2028-2032) — JPCUB is cited in Requests for Proposal (RFPs), cloud providers publish JPCUB scores, and the first regulatory mandates appear. Era 3: Dominance (2032-2035) — JPCUB is a standard metric alongside Total Cost of Ownership, hardware is designed for JPCUB optimization, and p-adic computing primitives enter mainstream processor architectures. Each era maps onto concrete enterprise decision points: when to adopt JPCUB, when to optimize architecture for JPCUB, and when the competitive landscape shifts from performance to efficiency.",
  "abstract_markdown": "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. **Era 2: Adoption (2028-2032)** — JPCUB is cited in Requests for Proposal (RFPs), cloud providers publish JPCUB scores, and the first regulatory mandates appear. **Era 3: Dominance (2032-2035)** — JPCUB is a standard metric alongside Total Cost of Ownership, hardware is designed for JPCUB optimization, and p-adic computing primitives enter mainstream processor architectures. Each era maps onto concrete enterprise decision points: when to adopt JPCUB, when to optimize architecture for JPCUB, and when the competitive landscape shifts from performance to efficiency.",
  "date": "2026-07-31",
  "first_published": "2026-07-31",
  "last_revised": "2026-07-31T00:00:00Z",
  "modified": "2026-07-31T00:00:00Z",
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  "url": "https://papers.qnfo.org/papers/qwav-decade",
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        "name": "Rowan Brad Quni-Gudzinas",
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    "titles": [
      {
        "title": "The QWAV Decade: Enterprise p-Adic Computing 2025-2035"
      }
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    "publicationYear": "2026",
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        "description": "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. Era 2: Adoption (2028-2032) — JPCUB is cited in Requests for Proposal (RFPs), cloud providers publish JPCUB scores, and the first regulatory mandates appear. Era 3: Dominance (2032-2035) — JPCUB is a standard metric alongside Total Cost of Ownership, hardware is designed for JPCUB optimization, and p-adic computing primitives enter mainstream processor architectures. Each era maps onto concrete enterprise decision points: when to adopt JPCUB, when to optimize architecture for JPCUB, and when the competitive landscape shifts from performance to efficiency.",
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