Adaptive sampling-based optimization of quantics tensor trains for noisy functions: Applications to quantum simulations
Tensor cross interpolation (TCI) is a powerful technique for learning a tensor train (TT) by adaptively sampling a target tensor based on an interpolation formula. However, when the tensor evaluations contain random noise, optimizing the TT is more advantageous than interpolating the noise. Here, we...
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| Format: | Article |
| Language: | English |
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SciPost
2025-08-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.19.2.038 |
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