3 papers
quant-ph2025
Sufficient conditions for hardness of lossy Gaussian boson sampling
Byeongseon Go, Changhun Oh, Hyunseok Jeong
Gaussian boson sampling (GBS) is a prominent candidate for the experimental demonstration of quantum advantage. However, while the current implementations of GBS are unavoidably su…
quant-ph2025
Quantum computational advantage of noisy boson sampling with partially distinguishable photons
Byeongseon Go, Changhun Oh, Hyunseok Jeong
Boson sampling stands out as a promising approach toward experimental demonstration of quantum computational advantage. However, the presence of physical noise in near-term experim…
quant-ph2024
Sample-based Hamiltonian and Lindbladian simulation: Non-asymptotic analysis of sample complexity
Byeongseon Go, Hyukjoon Kwon, Siheon Park +2
Density matrix exponentiation (DME) is a quantum algorithm that processes multiple copies of a program state to realize the Hamiltonian evolution . Wave matrix Lindb…