Tensor network methods provide a structured approach to representing and manipulating high-dimensional data by decomposing global information into interconnected low-rank tensors. Originating in the ...
(A) Illustration of a convolutional neural network (NN) whose variational parameters (T) are encoded in the automatically differentiable tensor network (ADTN) shown in (B). The ADTN contains many ...
Morning Overview on MSN
Q-CTRL and IBM just hit a 3,000x speedup simulating the Fermi-Hubbard model on 120 qubits — the first practical quantum advantage demonstrated this year
A team of researchers from Q-CTRL and IBM says it has achieved a 3,000-fold wall-clock speedup over the best available classical methods while simulating a foundational physics model on a 120-qubit ...
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