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Quantum computing and tensor computing?

What’s the difference between quantum computing and tensor computing?

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By Suresh Answered 1 month ago

Quantum computing relies on quantum mechanics—using qubits, superposition, and entanglement—to tackle problems that are hard or impossible for classical computers. Tensor computing, on the other hand, is a classical approach for efficiently representing and manipulating high-dimensional data structures. The two intersect when tensor networks are used to simulate quantum systems or mapped onto quantum hardware to accelerate tasks like quantum-inspired machine learning. Essentially, one is quantum-native, the other classical but high-dimensional.

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