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quant-ph2026
Learning to Maximize Quantum Neural Network Expressivity via Effective Rank
Juan Yao
Quantum neural networks (QNNs) are widely employed as ansätze for solving variational problems, where their expressivity directly impacts performance. Yet, accurately characterizi…
quant-ph2025
Variational quantum state diagonalization with computational-basis probabilities
Juan Yao
In this report, we propose a novel quantum diagonalization algorithm based on the optimization of variational quantum circuits. Diagonalizing a quantum state is a fundamental yet c…
quant-ph2024
Quantum state tomography with disentanglement algorithm
Juan Yao
In this work, we report on a novel quantum state reconstruction process based on the disentanglement algorithm. Using variational quantum circuits, we disentangle the quantum state…