20 citations · 24 across the 2 of their papers we have counts for
2 papers
quant-ph2022★ 20 cited
Pulse-efficient quantum machine learning
André Melo, Nathan Earnest-Noble, Francesco Tacchino
Quantum machine learning algorithms based on parameterized quantum circuits are promising candidates for near-term quantum advantage. Although these algorithms are compatible with…
quant-ph2022★ 4 cited
Navigating the dynamic noise landscape of variational quantum algorithms with QISMET
Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker +5
Transient errors from the dynamic NISQ noise landscape are challenging to comprehend and are especially detrimental to classes of applications that are iterative and/or long-runnin…