Quantum Machine Learning
290 papers from Europe PMC
Quantum Machine Learning Research Context
This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.
Showing 277-288 of 290
Quantum physics: Cruise control for a qubit.
Wiseman HM.
Testing sequential quantum measurements: how can maximal knowledge be extracted?
Nagali E, Felicetti S, de Assis PL, D'Ambrosio V, Filip R, Sciarrino F.
Efficient measurement of quantum dynamics via compressive sensing.
Shabani A, Kosut RL, Mohseni M, Rabitz H, Broome MA, Almeida MP, Fedrizzi A, White AG.
Experimental realization of optimal noise estimation for a general Pauli channel.
Chiuri A, Rosati V, Vallone G, Pádua S, Imai H, Giacomini S, Macchiavello C, Mataloni P.
Experimental test of the quantum no-hiding theorem.
Samal JR, Pati AK, Kumar A.
Non-Markovian behavior of small and large complex quantum systems.
Žnidarič M, Pineda C, García-Mata I.
Tuned transition from quantum to classical for macroscopic quantum states.
Fedorov A, Macha P, Feofanov AK, Harmans CJ, Mooij JE.
Bootstrap tomography of the pulses for quantum control.
Dobrovitski VV, de Lange G, Ristè D, Hanson R.
Clustered error correction of codeword-stabilized quantum codes.
Li Y, Dumer I, Pryadko LP.
Experimental feedback control of quantum systems using weak measurements.
Gillett GG, Dalton RB, Lanyon BP, Almeida MP, Barbieri M, Pryde GJ, O'Brien JL, Resch KJ, Bartlett SD, White AG.
Non-markovian dynamics of a biased qubit coupled to a structured bath.
Gan C, Huang P, Zheng H.
On classical and quantum error-correction in ciliate mate selection.
Clark KB.