activity
20192026
most citedFaster quantum computation with permutations and resonant couplings

9 citations · 20 across the 9 of their papers we have counts for

collaborators

9 papers

quant-ph2026

Characterizing local unitary equivalence of multipartite states by local unitary Bargmann invariants

Yi Shen, Lin Chen, Shao-Ming Fei

Local unitary (LU) equivalent states are crucial for understanding the structure of quantum entanglement. We investigate the LU equivalence based on the LU Bargmann invariants (LUB…

quant-ph2025

Decidabilities of local unitary equivalence for entanglement witnesses and states

Yi Shen, Lin Chen

The problem of determining whether two states are equivalent by local unitary (LU) operations is important for quantum information processing. In this paper we propose an alternati…

quant-ph2024★ 1 cited

The detection power of real entanglement witnesses under local unitary equivalence

Yi Shen, Lin Chen, Zhihao Bian

The imaginary unit has recently been experimentally proven to be indispensable for quantum mechanics. We study the differences in detection power between real and complex entan…

quant-ph2024★ 5 cited

A characterization of entangled two-qubit states via partial-transpose-moments

Lin Zhang, Ming-Jing Zhao, Lin Chen +2

Although quantum entanglement is an important resource, its characterization is quite challenging. The partial transposition is a common method to detect bipartite entanglement. In…

quant-ph2023★ 1 cited

The additivity of states uniquely determined by marginals

Yi Shen, Lin Chen

The pure states that can be uniquely determined among all (UDA) states by their marginals are essential to efficient quantum state tomography. We generalize the UDA states from the…

quant-ph2022★ 1 cited

Quantum hypothesis testing between qubit states with parity

Yi Shen, Carlo Maria Scandolo, Lin Chen

Quantum hypothesis testing (QHT) provides an effective method to discriminate between two quantum states using a two-outcome positive operator-valued measure (POVM). Two types of d…