Next-Generation Computing Platform

Measured in joules-per-solution,
not qubit counts

QWAV is a thermodynamically optimised computing platform built on p-adic ultrametric physics — not the qubit-gate-circuit model. Intrinsic error correction through Ostrowski's theorem. Room-temperature operation. Benchmark transparently with JPCUB.

The QNFO → QWAV Distinction

QNFO is the research collective that publishes the physics and critiques the $35B quantum computing industry. QWAV is the commercial platform that builds products from that physics.

AxisQNFOQWAV
What it isOpen-science research collectiveCommercial computing platform
MissionPublish, critique, forecast, governBuild, benchmark, commercialise, deploy
Core metricCitation impact, paradigm influenceJoules-per-Solution (thermodynamic efficiency)
AudiencePhysics/math/CS researchersEnterprise CTOs, HPC architects, investors
Posture"Here is what is wrong with $35B of quantum investment""Here is what we built that works better per joule"
LicensingQNFO-ULA / CC-BY-4.0 / AGPLCommercial license (TBD)

Joules-per-Solution — The Honest Benchmark

JPCUB measures thermodynamic efficiency: total energy consumed per correct answer. Not qubit counts. Not "quantum advantage" claims. Actual joules per actual solution.

JPCUB P0 — Published
<10⁻³
Joules per Solution
Target thermodynamic efficiency for QWAV platform — orders of magnitude below NISQ-era quantum processors
Read JPCUB P0 →
How QWAV competes:

Traditional quantum: "1000-qubit processor with 99.9% fidelity at 15 mK."
→ Requires dilution refrigerator, active error correction, no commercial applications.

QWAV: "10⁻³ joules per solution at room temperature with intrinsic error protection."
→ Manufacturable with current fabrication technology. Benchmarked transparently. Room-temperature operation.

Don't believe us. Measure it yourself in joules per correct answer. Here is the protocol. Here is the data for IBM (0.89 J/solution for factoring). Here is our number. Compare.

Platform Architecture

The QWAV computing stack — from p-adic mathematics to commercial applications.

Application
QWAV SDK (Python) · QWAV Cloud API (REST) · JPCUB Benchmark Dashboard
Compilation
Fontaine-Stack Compiler — Problem → p-adic encoding → Bruhat-Tits building → ZBW observable → Readout
Runtime
Adelic QEC (Ostrowski intrinsic protection) · ZBW Engine · Bruhat-Tits Readout Protocol
Physical
Trapped-Ion Dirac Simulator · Room-Temperature Adelic Nuclear-Spin Qubit v2.0 · 343-qubit Tree Topology

Competitive Landscape

QWAV does not compete on "more qubits" — those are the metrics of a paradigm QNFO has critiqued as epistemically flawed. QWAV competes on thermodynamic efficiency and architectural honesty.

IBM

Superconducting transmon · 1,121 qubits
Error CorrectionActive (surface code)
Operating Temp~15 mK
CommercialCloud ($1.60/sec)
JPCUB P0: 0.89 J/solution

Google

Superconducting · 105 qubits
Error CorrectionActive (surface code)
Operating Temp~15 mK
Milestone"Supremacy" (2019)
JPCUB: Pending

IonQ

Trapped ions · 36 algorithmic qubits
Error CorrectionActive
Operating TempRoom temperature
CommercialCloud access
JPCUB: Pending

⚡ QWAV

p-adic ultrametric · Qudits, not qubits
Error CorrectionIntrinsic (Ostrowski)
Operating TempRoom temperature
StagePre-commercial
JPCUB Target: <10⁻³ J/solution

Rigetti

Superconducting · 84 qubits
Error CorrectionActive
Operating Temp~15 mK
CommercialCloud access
JPCUB: Pending

D-Wave

Quantum annealing · 5,000+ qubits
Error CorrectionNative (none)
Operating Temp~15 mK
CommercialCloud + on-premise
JPCUB: Pending

Built on QNFO Research

QWAV's platform is grounded in 15+ peer-reviewed architecture papers published by the QNFO Research Collective — all with Zenodo DOIs, independently verifiable, and citable.

The Physics of Computation
Landauer, Margolus-Levitin, Bremermann limits. Proposes joules-per-solution as the falsifiable criterion for physical computational advantage.
DOI: 10.5281/zenodo.21255013 →
The Qubit Delusion
$35B invested, zero commercially viable machines. How particle ontology sabotaged quantum computing.
DOI: 10.5281/zenodo.21254143 →
Problem-Substrate Mapping
Framework for honest computational investment. 40% thermodynamic, 25% photonic, only 5% fault-tolerant quantum.
DOI: 10.5281/zenodo.21255346 →
JPCUB P0 — The Metric
Definition, measurement protocol, and anti-gaming provisions. Worked example: IBM Eagle at 0.89 J/solution.
DOI: 10.5281/zenodo.21637028 →

Ready to benchmark with thermodynamic honesty?

The JPCUB protocol is published and open. Measure any platform — including QWAV — and compare transparently.

📄 Read the Full Strategy Whitepaper 📚 Browse Research Papers