BMW’s 3,854-Variable Drawback Solved in Six Minutes With Quantum Computing

Quantum computing firm Quantum Computing Inc. (QCI) has staked a declare to fame by fixing a 3,854-variable optimization problem for BMW. The corporate made use of its new hardware-based quantum computing answer, Entropy Quantum Computing (EQC), to unravel for the perfect placement of auto sensors in BMW’s Car Sensor Placement Problem (VSPC) 2022. Its new quantum system delivered efficiency that was 70 occasions greater that of its 2021 entry, which leveraged the corporate’s hybrid quantum implementation derived from quantum computing participant D-Wave.

“We’re very proud to have achieved what we imagine to be an necessary landmark consequence within the evolution of quantum,” stated Bob Liscouski, CEO of QCI in a press launch. “We imagine that this proves that modern quantum computing applied sciences can clear up actual enterprise issues right now. What’s much more important is the complexity of the issue solved. This wasn’t only a rudimentary downside to indicate that quantum options might be possible sometime; this was a really actual and important downside whose answer can doubtlessly contribute to accelerating the conclusion of the autonomous car trade.”