6 papers
Detecting high-dimensional entanglement by randomized product projections
Jin-Min Liang, Shuheng Liu, Shao-Ming Fei +1
The characterization of high-dimensional entanglement plays a crucial role in the field of quantum information science. Conventional entanglement criteria measuring coherent superp…
Decoding Quantum Search Advantage: The Critical Role of State Properties in Random Walks
Si-Qi Zhou, Jin-Min Liang, Ziheng Ding +3
Quantum algorithms have demonstrated provable speedups over classical counterparts, yet establishing a comprehensive theoretical framework to understand the quantum advantage remai…
Static and dynamic coherence fraction in the Bernstein-Vazirani algorithm
Si-Qi Zhou, Jin-Min Liang, Jiayin Peng +3
Quantum entanglement and coherence are crucial resources in quantum information theory. In some scenarios, however, it is not necessary to directly estimate entanglement or coheren…
Coherence Fraction in Grover Search Algorithm
Si-Qi Zhou, Hai Jin, Jin-Min Liang +3
The question of which resources drive the advantages in quantum algorithms has long been a fundamental challenge. While entanglement and coherence are critical to many quantum algo…
Real randomized measurements for analyzing properties of quantum states
Jin-Min Liang, Satoya Imai, Shuheng Liu +3
Randomized measurements are useful for analyzing quantum systems especially when quantum control is not fully perfect. However, their practical realization typically requires multi…
Variational-toolbox-based separability detection of multiqubit states
Jin-Min Liang, Shao-Ming Fei, Qiongyi He
Parametrized quantum circuits (PQCs) are crucial in variational quantum algorithms. While it is commonly believed that the optimal PQC is solely used to reproduce the target state,…