Stability for hybrid computing

Hybrid computing.
Ready to scale.

Move the heavy arithmetic into physics. Keep control digital.

TrueLoop keeps component-observable analog hardware true without putting a growing calibration burden back on the digital system.

Free 90-day evaluation. No card.

TRUELOOP / PRODUCTION CONTROL
live
Optical hardware on a scientific bench
6
measurements to usablecold start · controlled simulation
1
acquisition per cyclecomplete configuration
1
acquisition on restartnear a known state
Digital directs.Physics computes.TrueLoop keeps it true.Maintenance tested to 100 million channels.Controlled simulation.
Start with your system

What do you run?

The missing layer

Digital directs the computation.
Physics performs the transform.
TrueLoop keeps the analog state true.

One read.One update.No growing calibration pass.
See how the architecture fits together
The architecture

A hybrid machine
that can compose.

DIGITAL HOSTOrchestration, semantics, routing, and control flow
PHYSICAL COPROCESSORDense transforms carried by resident analog state
STABILITY LAYEROne complete readout and actuation frame per cycle
NEW DESIGN SPACEOn-device AI, photonics, quantum, RF, and sensing
Two production surfaces

One runtime.
Applied where it actually happens.

01 / PHYSICAL SYSTEMS

TrueLoop Runtime

Maintain an n-channel analog layer while its n²-scale transform stays in the device.

  • One parallel acquisition
  • Complete multichannel update
  • Hosted or offline
Explore the runtime
Integration

One response vector.
One complete update.

Five lines. Your loop stays yours.

PYTHON / CONTROL LOOPFIVE LINES
opt = SWCOptimizer(key, n=len(x0), mode="regulation", target=target)
x = opt.start(x0)
for _ in range(budget):
    x = opt.step(measure(x), target=target)
opt.end()

measure(x) is your existing readout.

01

Read every component in parallel.

02

Carry bounded local memory per channel.

03

Return the next complete configuration.

Real time

Control keeps up.

Your acquisition sets the pace.

9 to 16 ns

per channel-cycle

O(n)

digital work per cycle

O(1)

state per channel

Measured controller arithmetic on one commodity core. The device readout and actuation set the physical loop rate.

3

commercial QPUs

Measured hardware.

45.8%

lower RMS error

IBM Heron. 156 qubits.

10⁸

channels held flat

Independent reference implementation.

Fit first

Component-resolved readout. Feasible target. Bounded drift and coupling.

Clear boundary

No scalar-only search. No end-to-end hybrid workload claimed yet.

Check your system