PyTrees Are Not One Thing: JAX, PyTorch, and TensorFlow Compared
PyTrees look deceptively simple. You flatten a nested Python object into leaves, keep a structure descriptor, and later rebuild or map over the same s…
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You Can Now Train Quantum Signal Processing Phase Angles with Gradient Descent
A reproducible benchmark and JAX‑traceable implementation is now available – no analytic solver required. Quantum Signal Processing (QSP) is one of th…
Why JAX Is a Much Better Backend for Quantum Circuit Simulation Than PyTorch
Modern quantum circuit simulation is not just “machine learning with complex tensors.” It involves irregular tensor contractions, sparse operators, st…