Tag: variational-quantum-algorithms

All the articles with the tag "variational-quantum-algorithms".

• On Quantum Backpropagation, Information Reuse, and Cheating Measurement Collapse

  31 Mar, 2026

  Can quantum models train as efficiently as classical neural networks? Abbas et al. prove backpropagation scaling is impossible without multiple copies of a quantum state, then show how shadow tomography gets you most of the way there. A deep dive into the paper that defines the trainability frontier for quantum machine learning.