Apparent Compression, Real Stability: The Intrinsic Dimension of Learning a Quantum Wavefunction
How many directions in weight space does training need? The intrinsic dimension answers this with the smallest number of random directions in which training still reaches a target accuracy, and small values have motivated parameter-efficient methods such as LoRA. We measure it for variational Monte Carlo (VMC), which t...
Lu Wei, Yu-Feng Wang, Chen-Feng Cao et al.
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