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quant-ph2025
Tensor Network Formulation of Dequantized Algorithms for Ground State Energy Estimation
Hidetaka Manabe, Takanori Sugimoto, Keisuke Fujii
Verifying quantum advantage for practical problems, particularly the ground state energy estimation (GSEE) problem, is one of the central challenges in quantum computing theory. Fo…
quant-ph2025
VQE-generated quantum circuit dataset for machine learning
Akimoto Nakayama, Kosuke Mitarai, Leonardo Placidi +2
Quantum machine learning has the potential to computationally outperform classical machine learning, but it is not yet clear whether it will actually be valuable for practical prob…
quant-ph2024
Quantum-circuit algorithms for many-body topological invariant and Majorana zero mode
Takanori Sugimoto
Topological states of matter are promising resources for composing fault-tolerant quantum computers, advancing beyond the limitations of current noisy intermediate-scale quantum de…