Quantum enhanced rare event discovery and sampling
Financial crashes, cascading failures in infrastructure, and critical errors in AI systems are frequently triggered by events that occur with extremely small probability. Efficiently discovering and sampling events with probability below a threshold is therefore of critical interest. Yet this task is highly non-trivial using existing classical or quantum methods. Being rare, such events require an immense sampling overhead to collect sufficient data samples. Moreover, because the rare events are not known in advance, they cannot be flagged for amplification using standard techniques. Here, we introduce a quantum algorithm for rare-event discovery and sampling without first learning which ...
| Authors | Naixu Guo, Po-Wei Huang, Qisheng Wang et al. |
|---|---|
| Primary category | quant-ph |
| Published | 4 June 2026 |
| Last updated at source | 4 June 2026 |
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