Approximate Contraction of Arbitrary Tensor Networks with a Flexible and Efficient Density Matrix Algorithm
Tensor network contractions are widely used in statistical physics, quantum computing, and computer science. We introduce a method to efficiently approximate tensor network contractions using low-rank approximations, where each intermediate tensor generated during the contractions is approximated as...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2024-12-01
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| Серія: | Quantum |
| Онлайн доступ: | https://quantum-journal.org/papers/q-2024-12-27-1580/pdf/ |
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