Quantum Bayesian Networks For Path Accuracy in Manufacturing
summary
Claims a proof‑of‑concept quantum encoding of Bayesian network conditional probability tables into qubit amplitudes, using multi‑controlled rotations to map parent dependencies and the swap test to estimate distribution distances; demonstrates small-scale runs on IBM superconducting hardware and simulators and reports logarithmic memory scaling for CPT storage with potential speedups from amplitude amplification. Circuit construction and noise on current devices limit runtime gains today, larger hardware tests are planned.
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chapters (10)
- 0:00Intro
- 1:13QAP Center
- 3:42Energy Systems
- 4:50Digital Twin Scenario
- 6:08Path Accuracy in Manufacturing
- 7:41Bayesian Networks
- 11:06Quantum Computing
- 12:10Encoding
- 13:36Distance Estimation
- 18:02QA
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