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Introducing TensorNetwork - The X Blog

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Editor’s note: Today, the Google AI Blog featured a detailed look at a collaboration between Google, X, and the Perimeter Institute for Theoretical Physics to release a new open source library to improve the efficiency of tensor calculations. We’re reposting it here to share some insight into what the team have been working on. Many of the world’s toughest scientific challenges, like developing high-temperature superconductors and understanding the true nature of space and time, involve dealing with the complexity of quantum systems. What makes these challenges difficult is that the number of quantum states in these systems is exponentially large, making brute-force computation infeasible. To deal with this, data structures called tensor networks are used. Tensor networks let one focus on the quantum states that are most relevant for real-world problems — the states of low energy, say — while ignoring other states that aren’t relevant. Tensor networks are also increasingly finding appl

Introducing TensorNetwork - Google X Blog I n t r o d u c i n g T e n s o r N e t w o r k An open source library for efficient tensor calculations the Team at X / June 4, 2019 Editor's note: Today, the Google AI Blog featured a detailed look at a collaboration between Google, X, and the Perimeter Institute for Theoretical Physics to release a new open source library to improve the efficiency of tensor calculations. We're reposting it here to share some insight into what the team have been working on. Many of the world's toughest scientific challenges, like developing high-temperature supercond

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