collaborators

7 papers

physics.ins-det2026

Final assessment of radioactive impurities in the JUNO detector

Thomas Adam, Fengpeng An, Costas Andreopoulos +569

The Jiangmen Underground Neutrino Observatory (JUNO) collaboration has completed the construction of the 20,000-ton liquid scintillator detector and the associated muon veto detect…

physics.ins-det2026

Embedded underwater front-end electronics for the 3-inch photomultipliers in the JUNO experiment

Cédric Cerna, Miao He, Xiaoshan Jiang +591

The Jiangmen Underground Neutrino Observatory (JUNO) is a 20-kton liquid scintillator-based, low-radioactivity, multi-purpose neutrino detector located 693 meters (1800 m.w.e.) und…

quant-ph2026

Full-quantum variational dynamics simulation for time-dependent Hamiltonians with global spectral discretization

Minchen Qiao, Zi-Ming Li, Yu-xi Liu

The most widely used approach for simulating the dynamics of time-dependent Hamiltonians via quantum computation depends on the quantum-classical hybrid variational quantum time ev…

quant-ph2025

Efficient Preparation of Decoherence Free Subspace Basis States

Zi-Ming Li, Yu-xi Liu

Decoherence-free subspace (DFS) provides a crucial mechanism for passive error mitigation in quantum computation by encoding information within symmetry-protected subspaces of the…

physics.ins-det2025

Simulation of the Background from CO Reaction in the JUNO Scintillator

JUNO Collaboration, Thomas Adam, Kai Adamowicz +627

Large-scale organic liquid scintillator detectors are highly efficient in the detection of MeV-scale electron antineutrinos. These signal events can be detected through inverse bet…

quant-ph2025

Speedup Chip Yield Analysis by Improved Quantum Bayesian Inference

Zi-Ming Li, Zeji Li, Tie-Fu Li +1

The semiconductor chip manufacturing process is complex and lengthy, and potential errors arise at every stage. Each wafer contains numerous chips, and wafer bin maps can be genera…

quant-ph2025

Quantum Algorithm for Vector Set Orthogonal Normalization and Matrix QR Decomposition with Polynomial Speedup

Zi-Ming Li, Yu-xi Liu

Vector set orthogonal normalization and matrix QR decomposition are fundamental problems in matrix analysis with important applications in many fields. We know that Gram-Schmidt pr…