Discriminating Quantum States with Quantum Machine Learning

1 code implementation • 1 Dec 2021 • David Quiroga, Prasanna Date, Raphael C. Pooser

Quantum machine learning (QML) algorithms have obtained great relevance in the machine learning (ML) field due to the promise of quantum speedups when performing basic linear algebra subroutines (BLAS), a fundamental element in most ML algorithms.

BIG-bench Machine Learning Quantum Machine Learning

Mode connectivity in the loss landscape of parameterized quantum circuits

no code implementations • 9 Nov 2021 • Kathleen E. Hamilton, Emily Lynn, Raphael C. Pooser

Variational training of parameterized quantum circuits (PQCs) underpins many workflows employed on near-term noisy intermediate scale quantum (NISQ) devices.