Quantum computer power is still being stymied by numerous challenges. One such challenge is the requirement for each quantum bit to interact with all others.
[Q]uantum computation could potentially make a difference in processing all the complexities, working through many possible solutions, to come up with the likely future impact of the employee and, therefore, whether they should be hired.
Physicists from Innsbruck, Austria, have now developed a method that enables optimization problems to be investigated on quantum hardware that already exists today.
Department of Defense (DOD) must solve many complex optimization problems to enable mission capabilities – from determining the most efficient way to distribute supplies to minimizing warfighters’ exposure to hostile forces. Solving these intricate scenarios is difficult, largely owing to the limitations of existing computing resources. Today, many optimization problems are solved on conventional computers running both heuristic and approximate algorithms, extracting the best solutions allowed by the limited time and energy that is available. Many believe quantum computing could be the answer. While there are potential advantages to quantum information processing, there is not enough supporting evidence to show that a quantum solution would be suitable for the size, weight, and power limits of many DOD mission-relevant applications.
Intel introduced Loihi 2, its second-generation neuromorphic research chip, and Lava, an open-source software framework for developing neuro-inspired applications. Their introduction signals Intel’s ongoing progress in advancing neuromorphic technology.
