4 papers
Local tensor-train surrogates for quantum learning models
Sreeraj Rajindran Nair, Christopher Ferrie
A key bottleneck in quantum machine learning is the computational cost of repeated quantum circuit evaluations during the inference phase. To address this, we present a framework f…
Efficient Fidelity Estimation with Few Local Pauli Measurements
Mingyu Sun, Gabriel Waite, Michael Bremner +1
As quantum devices scale, quantifying how close an experimental state aligns with a target becomes both vital and challenging. Fidelity is the standard metric, but existing estimat…
Quantum noise spectroscopy by qudit spectators
Clara Javaherian, Chris Ferrie
Quantum noise spectroscopy is a well-known method for detecting environmental noise spectrum and has various applications in quantum sensing, quantum network design, and quantum co…
Riemannian-geometric generalizations of quantum fidelities and Bures-Wasserstein distance
A. Afham, Chris Ferrie
We introduce a family of fidelities, termed generalized fidelity, which are based on the Riemannian geometry of the Bures-Wasserstein manifold. We show that this family of fideliti…