Reproduce “A Tutorial on Quantum Amplitude Embedding with Data Re-Uploading” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Hyojun Ahn, Joongheon Kim
The authors analyze sequential amplitude re-uploading, repeating input state preparation between trainable circuit blocks. Each upload expands the reachable polynomial order by two, while adding gate cost and circuit depth. In simulations, two uploads raise test R² on an order-four synthetic target from 0.689 to 0.883, but not on quadratic targets or handwritten digits.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.