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Jun-Jie Chen

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Preprint Aug 2026

Constant-depth adaptive preparation of Dicke and symmetric states

Efficient preparation of Dicke states and, more generally, permutation-symmetric states is important for quantum metrology, quantum networking, and collective quantum information processing. Measurements and classical feedforward enable low-depth preparations of these states, with a cost of ancillary qubits. In this wo...

Rui Luo, Jun-Jie Chen, Xiong-Feng Ma · 2 citations
Preprint Sep 2026

Ultra-Precise Quantum Projective Designs in Constant Depth

The results show that precise Haar-like statistics can emerge from sparse commuting dynamics with remarkably low quantum resources, with applications to randomized characterization, quantum metrology, quantum algorithms, and many-body physics.

Qing-Yue Zhang, Jun-Jie Chen, Zhou You et al. · 0 citations

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