A team at Northwestern University used artificial intelligence to evolve robot body plans inside a physics simulation, then physically assembled the top-performing designs and turned them loose on ...

Practical Application: The authors propose QFI-Informed Mutation (QIm), a heuristic that adapts mutation probabilities using diagonal QFI entries. QIm outperforms uniform and random-restart baselines, ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Running quantum circuits on quantum computers does not always generate "clean" results, unlike on a simulator, as noise plays a significant role in any quantum device. To explore this, we experimented ...

Abstract: Combinatorial optimization is a promising area for achieving quantum speedup. The quantum approximate optimization algorithm (QAOA) is designed to search for low-energy states of the Ising ...

Abstract: We define and study analogs of probabilistic tree embeddings and tree covers for directed graphs. We define the notion of a DAG cover of a general directed ...

Every day, researchers search for optimal solutions. They might want to figure out where to build a major airline hub. Or to determine how to maximize return while minimizing risk in an investment ...

2024 IEEE International Conference on Quantum Computing and Engineering (QCE) The Quantum Approximate Optimization Algorithm (QAOA) has emerged as a promising tool for accelerating optimization ...

Last year, fashion publications wrote extensively about the impact of the algorithm on personal style. (Vogue Business included.) In last year’s fashion conversation, ‘the algorithm’ surpassed its ...