Author

Chen-Feng Cao

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Preprint Oct 2026

Mid-circuit measurements and feedforward implement every unitary exactly in constant depth

Mid-circuit measurements with feedforward reduce the optimal worst-case quantum depth for exact $n$-qubit unitary synthesis from $\Theta(n)$ to $O(1)$, using arbitrary one- and two-qubit gates and unrestricted ancillary space. Measurements and resets without feedforward remain subject to the circuit causal-cone bound....

Chen-Feng Cao · 0 citations

#machine learning Preprint Sep 2026

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. · 0 citations

#machine learning Preprint Sep 2026

AG-CoT: Verified Algorithmic Traces for LLM Program Synthesis on Clifford Circuits

This work studies language-model synthesis of Clifford circuits, which prepare the stabilizer states used in quantum error correction and admit exact classical verification, in a target-conditioned framework.

Lu Wei, Yu-Feng Wang, Chen-Feng Cao et al. · 0 citations