PRL3: Autonomous Quantum Observation
97.7% avoided quantum executions • TRL6 validated on IBM hardware
Challenge: Quantum processors are expensive and repetitive jobs waste resources. No middleware existed that could learn patterns without interfering.
Two‑Agent System
- Agent A (User) – submits quantum jobs (Bell state circuits) to the processor.
- PRL3 (Observer) – passively listens to job completions, records outcomes, never interferes.
Validation
Simulation: 500 jobs (bell/random). PRL3 detected the Bell state rule after 5 jobs.
Real hardware: 500 Bell state circuits on IBM Quantum ibm_fez. PRL3 observed completions autonomously.
Key results:
✅ After only 5 completed jobs, PRL3 detected that Bell state outputs are almost always 00 or 11 (ratio 1.059, noise 5.54%).
✅ Once the rule was learned, subsequent identical queries were answered from memory, avoiding 213 out of 218 completed jobs – 97.7% reduction in quantum hardware usage.
✅ The two‑agent architecture was validated in a relevant operational environment (IBM cloud quantum processor) → TRL6 achieved.
Impact: Quantum cloud services can cut repetitive job costs by up to 98%. The system is hardware‑agnostic, works with any QPU, and requires no offline training.
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