Pre-commercial computing platform
Benchmarked in joules per solution, not qubit counts.
QWAV explores p-adic ultrametric architectures as an alternative to the qubit-gate-circuit model. The approach draws on Ostrowski's theorem for intrinsic error protection and targets room-temperature operation. Every performance claim is benchmarked with JPCUB, an open, falsifiable measure of energy per correct answer.
The benchmark
Energy per correct answer
JPCUB measures total system energy per correct answer: memory, input and output, cooling and power conversion included, not only the processor. Do not trust anyone's numbers, ours included: measure any platform yourself in joules per correct answer.
JPCUB P0 protocol< 10−3 J
Landscape
How platforms compare on energy
QWAV does not compete on qubit counts. Only IBM carries a published P0-protocol measurement; the others are conservative system-level upper bounds from the competitive landscape paper (JPCUB Competitive Landscape).
| Platform | Approach | Operating temperature | Error correction | JPCUB | Basis |
|---|---|---|---|---|---|
| IBM | Superconducting transmon | ~15 mK | Active (surface code) | 0.89 J per solution | published (JPCUB P0) |
| Superconducting | ~15 mK | Active (surface code) | ~0.05 J per solution | estimate (landscape v2.3) | |
| Rigetti | Superconducting | ~15 mK | Active | ~0.61 J per solution | estimate (landscape v2.3) |
| IonQ | Trapped ions | Room temperature | Active | ~16.3 J per solution | estimate (landscape v2.3) |
| D-Wave | Quantum annealing | ~15 mK | None (annealing) | ~50 to 200 J per optimisation | estimate (landscape v2.3) |
| QWAV | p-adic ultrametric (qudits) | Room-temperature target | Intrinsic (Ostrowski) | < 10⁻³ J per solution | design target, not measured |
Architecture
The QWAV stack
From p-adic mathematics to applications. These layers are published as research papers; the hardware remains pre-commercial.
| 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 |
Research
Built on published research
The work behind QWAV is by Rowan Brad Quni-Gudzinas and published by QNFO, an independent research imprint. Every paper is open and can be checked independently.
JPCUB P0: the metric
Definition, measurement protocol and anti-gaming provisions. Worked example: IBM Eagle at 0.89 J per solution.
The physics of computation
Landauer, Margolus–Levitin and Bremermann limits; joules per solution as the falsifiable criterion for physical computational advantage.
JPCUB competitive landscape
System-level estimates for 17 platforms from published specifications and third-party data.
Problem-substrate mapping
A framework for matching computational problems to physical substrates before investing in them.