Introduces a parallelizable hybrid tensor network algorithm for time-evolving matrix product states that combines classical BUG integration with quantum methods without synchronization barriers.
Hagge, Optimal fermionic swap networks for Hubbard models (2022), arXiv:2001.08324 [quant-ph]
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By augmenting quantum circuit ansatze with optimized swap networks, the work achieves better performance in ground-state energy calculations using fewer resources on devices with arbitrary qubit connectivity.
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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Swap Network Augmented Ans\"atze on Arbitrary Connectivity
By augmenting quantum circuit ansatze with optimized swap networks, the work achieves better performance in ground-state energy calculations using fewer resources on devices with arbitrary qubit connectivity.