4 problems
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Conjecture on extending tensor-train operations to quantum computers
Tensor-train operation extension conjecture. Other operations with Tensor Trains should also be extendable to quantum computers; in particular, multiplication by a TT-matrix appear…
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The tensor-train conjecture for supervised machine learning estimators
Tensor-train (TT) tensors are low-rank tensor representations based on nested matricizations; more generally, tensor networks based on nested matricizations provide structured repr…
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Conjecture on the advantage of the approach for stochastic control
The paper considers a deterministic optimal control problem and an approach based on policy iteration, the generalised Hamilton-Jacobi-Bellman equation, and an empirical Dirac–Fren…
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Exponential accuracy in the average TT-rank for cross interpolation
Let be the dimension, the number of points in each one-dimensional quadrature rule, the average tensor-train rank, and the number of samples evaluat…