Introduces a parallelizable hybrid tensor network algorithm for time-evolving matrix product states that combines classical BUG integration with quantum methods without synchronization barriers.
and Gujarati, Tanvi P
2 Pith papers cite this work, alongside 33 external citations. Polarity classification is still indexing.
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Pith papers citing it
33
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quant-ph 2years
2026 2representative citing papers
In Tic-Tac-Toe, adding trainable gates on the eight winning triples improves an equivariant quantum classifier more than strengthening the imposed symmetry.
citing papers explorer
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Time Evolution on Hybrid Tensor Networks -- A Novel and Parallelizable Algorithm
Introduces a parallelizable hybrid tensor network algorithm for time-evolving matrix product states that combines classical BUG integration with quantum methods without synchronization barriers.
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Symmetry Alone Is Not an Ansatz: Task-Aligned Interactions in Equivariant Quantum Circuits
In Tic-Tac-Toe, adding trainable gates on the eight winning triples improves an equivariant quantum classifier more than strengthening the imposed symmetry.