LatencyLab
Latency is math. SHAQwave reduces loop-bound algorithms to minimal-depth logic — one reduced form targeting CPUs, FPGAs and zero-knowledge proofs.
Picoseconds
The unit it optimises for
LLVM · RTL · ZK
One reduced form, three targets
Post-clock
Wave-front logic, not clock-bound
Loops are where the latency hides.
A high-level algorithm run on a general processor spends its time in loops, streamed through a fixed pipeline one step at a time. The depth of those loops — not the logic underneath them — sets the latency, and for high-frequency trading, zero-knowledge proofs and embedded pipelines that depth is the ceiling.
The structure is already known: which operations depend on which, and what could run at once. It is simply never allowed to shape the hardware it runs on.
Reduce the algorithm to logic.
01
Symbolic reduction
SHAQwave is a symbolic reduction engine: it executes an algorithm symbolically, with zero concrete reduction, and flattens loop-heavy, compute-bound code into minimal-depth logic — the shape of the computation, not a sequence of instructions.
02
One reduced form, many targets
That flattened form emits to LLVM for CPUs, RTL for FPGAs, or constraint systems for zero-knowledge proofs — high-level intent turned into hardware-tuned output without rewriting the algorithm three times.
03
Wave-front, not clock-bound
Ultra-wide logic evaluation with fan-in-optimised gates, composable across compute rounds and blocks, treats latency as propagation rather than timing — logic for the post-clock world, measured in picoseconds.
Research, stated as research.
| Milestone | Status | Evidence |
|---|---|---|
| Symbolic reduction core | In progress | Internal study |
| LLVM / RTL / ZK backends | In progress | Prototype targets |
| Reference algorithm, end to end | Next | — |
| Picosecond depth benchmarks | Next | — |
Figures on this page are targets and internal measurements at proof-of-concept stage. We share the methodology with anyone who wants to run it.
Prove one algorithm, end to end.
The near-term goal is a single reference algorithm carried all the way through — symbolically reduced, then emitted to a CPU, an FPGA and a ZK backend — with logic depth measured against a conventional loop-bound implementation.
LatencyLab spins out of Research ByIQ once the reduction holds its advantage on real workloads in cryptography, trading or embedded systems.