Systems and methods to generate samples for machine learning using quantum computing
US12229632B2 · kind B2 · utility
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36References
16Claims
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Key dates
| Filing date | Sep 24, 2020 |
| Grant date | Feb 18, 2025 |
| Priority date | — |
| Expiry date | Jun 15, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2111/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A hybrid computer comprising a quantum processor can be operated to perform a scalable comparison of high-entropy samplers. Performing a scalable comparison of high-entropy samplers can include comparing entropy and KL divergence of post-processed samplers. A hybrid computer comprising a quantum processor generates samples for machine learning. The quantum processor is trained by matching data statistics to statistics of the quantum processor. The quantum processor is tuned to match moments of the data.
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