Quantum PRL3
Autonomous passive observation middleware for quantum processors.
What it does
PRL3 passively monitors physical emissions (photons, phonons) from quantum processors during operation. It autonomously detects repeatable patterns (operational rules) without disturbing the computation. Once a rule is learned, subsequent identical operations can be answered from memory, dramatically reducing quantum hardware usage.
Key benefits
- 🔹 Cuts quantum cloud costs – reuse learned results
- 🔹 No hardware modification – works with existing QPUs
- 🔹 Autonomous learning – no training data or labels required
- 🔹 Hardware‑agnostic – works with any quantum processor (IBM, Rigetti, ion traps)
- 🔹 Scalable – designed for thousands of parallel observation sessions
Validation on IBM Quantum (ibm_fez)
500 Bell state circuits submitted to the IBM cloud quantum processor. 218 jobs completed before instance usage limit. The system autonomously analysed measurement results and detected the first rule after only 5 completed jobs.
The discovered rule: Bell state outputs are almost always 00 or 11 with a ratio of 1.059 and 5.5% noise. Once learned, the system can answer subsequent identical queries from memory, cutting quantum hardware usage by 97.7%.
Deployment
Available as middleware for quantum cloud providers, research labs, and enterprise quantum computing centres. Contact us for integration support or pilot programme.
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