3 citations · 3 across the 5 of their papers we have counts for
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Cost function embedding and dataset encoding for machine learning with parameterized quantum circuits
Shuxiang Cao, Leonard Wossnig, Brian Vlastakis +2
Machine learning is seen as a promising application of quantum computation. For near-term noisy intermediate-scale quantum (NISQ) devices, parametrized quantum circuits (PQCs) have…
Modelling Enclosures for Large-Scale Superconducting Quantum Circuits
P. A. Spring, T. Tsunoda, B. Vlastakis +1
Superconducting quantum circuits are typically housed in conducting enclosures in order to control their electromagnetic environment. As devices grow in physical size, the electrom…
Calibration of the cross-resonance two-qubit gate between directly-coupled transmons
A. D. Patterson, J. Rahamim, T. Tsunoda +8
Quantum computation requires the precise control of the evolution of a quantum system, typically through application of discrete quantum logic gates on a set of qubits. Here, we us…