Modern data-intensive applications, such as machine learning, artificial intelligence, and large-scale simulations, face energy, latency, and throughput bottlenecks due to the physical segmentation of ...
The exploitation of multimodality in different degrees of freedom is one of the most promising ways to increase the rate of heralded entanglement between distant quantum nodes. In this paper, we ...
Skyrocketing AI compute workloads and fixed power budgets are forcing chip and system architects to take a much harder look at compute in memory (CIM), which until recently was considered little more ...
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