D-Wave Quantum Inc. expands beyond annealing into gate-model quantum with dual-rail speed/accuracy. Click to see why QBTS is ...

Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Michael A. Babayev ’28, a Crimson Editorial editor, lives in Hurlbut Hall. From Nobel laureates to industry legends, it’s no secret that Harvard’s courses are invariably helmed by the world’s finest ...

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...

Registration is open for faculty to attend the Westwood Lecture Series, which will now take place on a new date Dec. 4. This event was originally scheduled for Dec. 5. Mohit Tawarmalani, the executive ...

Abstract: Electromagnetic optimization problems involve the fine-tuning of electromagnetic systems across various domains. Solving electromagnetic optimization problems is crucial for advancements in ...

The paper presents a topology optimization methodology for 2D elastodynamic problems using the boundary element method (BEM). The topological derivative is derived based on the variation method and ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a study led by ...