Autonomous phase discovery
This work introduces a fully autonomous system combining differentiable programming and unsupervised learning for quantum phase discovery, and establishes autonomous, gradient-driven exploration of Hamiltonian space as a practical route to discovering quantum phases without phase labels or a prescribed target phase.
Shi-Yu Zhou, Yuxuan Zhang, S. Wetzel et al.
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