/ SECURITY REASONING · QUANTUM RESEARCH

Reason deeply.
Prove the result.

AI investigation. Verified evidence. Adaptive compilation. Predator brings them together for authorized security work.

PREDATOR / ENGAGEMENT CONSOLEINTERFACE PREVIEW
Illustrative Predator terminal with its red wordmark and engagement prompt
One operator surface. A deeper compute stack.Example session values; not benchmark evidence.

01 / THE SYSTEM

From investigation
to evidence.

Explore a failure. Challenge the explanation. Keep the result another reviewer can inspect.

01 — REASON

Investigate with context.

AI reasoning and Observatory history help guide the next useful question.

PREDATOROBSERVATORY
02 — COMPILE

Make compute deliberate.

AQRC reconstructs computational structure. Nano evaluates deterministic eligibility for the next route.

AQRCNANO
03 — VERIFY

Ground every conclusion.

Classical challenge and native verification keep a promising score separate from a verified repair.

ATLASCRUCIBLE

This describes the broader research stack. Available CLI controls depend on the authorized backend; policy eligibility alone does not authorize hardware execution.

02 / IBM QUANTUM RESEARCH

Measured on hardware.
Scoped to the evidence.

The Fez pilot compared the ordinary compiler with AQRC’s joint5 compilation on the same fixed task. Both tested outputs moved closer to their ideal distributions.

4 × 1,024circuits × shots
3sbilled QPU time
28.5%fewer two-qubit gates
1fixture · one hardware job
MEASURED OUTPUT

Closer to the ideal.

TV DISTANCE
LOWER IS BETTER
Ordinaryjoint5
Vulnerable pole19.9% lower TV
Ordinary
0.395175
joint5
0.316523
Fixed pole23.7% lower TV
Ordinary
0.403859
joint5
0.307958
0.0Common scale: total-variation distance0.5

Relative reductions are calculated from the recorded TV distances. Both poles belong to the same fixture and acquisition.

WHAT THE RESULT ESTABLISHES

A cleaner implementation
of a fixed circuit.

The objectives, angles, shot counts, and initial physical layout were held fixed. The compiler reduced native two-qubit gates from 144 to 103 on each pole.

The improvement is in agreement with the ideal output. Expected energy increased, so this result does not establish better minimization.

Compiler-quality pilot.
No independent confirmation, deep-chain lift, or quantum computational advantage is claimed.

Read the measurement note Download the public result summary
Measurement scope & uncertainty

Sampling-only 95% intervals for ordinary-minus-joint5 TV improvement: vulnerable pole [0.036615, 0.117400]; fixed pole [0.052002, 0.135952]. These use 2,000 independent multinomial bootstrap replicates per arm, seed 20260906.

The intervals exclude calibration drift and independent confirmation. This is one six-variable fixture in one hardware job; the poles are not independent source seeds. The public JSON is an author-reported extract with source fingerprints, not a full raw reproducibility bundle.

03 / THE NEXT RESEARCH QUESTION

Can deeper feedback
earn a stronger result?

Predator’s deep-chain research compares quantum-guided feedback with matched classical feedback, using verified utility in the original task.

That is a separate experiment. The Fez compiler pilot does not supply the evidence for a deep-chain advantage claim.

BUILT BY AETHER AI

Explore Predator.

Public research and product overview.
The implementation remains private.