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Quantum Computing Inc. Optimizes Vehicle Sensor Placement for BMW Using a New Type of Quantum Processor

Quantum Computing Report 2 months ago

The exercise was to perform an optimized placement of vehicle sensors as part of a Quantum Computing Challenge sponsored by BMW and Amazon Web Services (AWS) . The problem required optimizing the placement of sensors on automobiles to reach the highest coverage at the minimum cost and the problem was configured as an optimization problem that included 3,854 variables and 500 constraints. Quantum Computing Inc. (QCI)  had previously provided a solution last year using a D-Wave quantum annealer and a Variational Analog Quantum Oracle (VAQO) approach that required over 7 hours of D-Wave runtime and several hundred sensors.


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