This chapter delves into a groundbreaking tensor network approach developed at Los Alamos National Laboratory, setting a world record in memory compression at the Yottabyte level. It highlights the method's success in solving high-dimensional partial differential equations accurately, the challenges of compressing Yottabytes of data to megabytes efficiently, and the significance of scalable compression algorithms for managing big data in cloud computing.

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