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 241-252 of 290
Enhancing quantum sensing sensitivity by a quantum memory.
Zaiser S, Rendler T, Jakobi I, Wolf T, Lee SY, Wagner S, Bergholm V, Schulte-Herbrüggen T, Neumann P, Wrachtrup J.
Learning robust pulses for generating universal quantum gates.
Dong D, Wu C, Chen C, Qi B, Petersen IR, Nori F.
Measurements of nanoresonator-qubit interactions in a hybrid quantum electromechanical system.
Rouxinol F, Hao Y, Brito F, Caldeira AO, Irish EK, LaHaye MD.
Minimizing resource overheads for fault-tolerant preparation of encoded states of the Steane code.
Goto H.
Quantification of DNA Extracted from Formalin Fixed Paraffin-Embeded Tissue Comparison of Three Techniques: Effect on PCR Efficiency.
Kumar D, Panigrahi MK, Suryavanshi M, Mehta A, Saikia KK.
Quantum Error Correction Protects Quantum Search Algorithms Against Decoherence.
Botsinis P, Babar Z, Alanis D, Chandra D, Nguyen H, Ng SX, Hanzo L.
Semiconductor-inspired design principles for superconducting quantum computing.
Shim YP, Tahan C.
Speedup of quantum evolution of multiqubit entanglement states.
Zhang YJ, Han W, Xia YJ, Tian JX, Fan H.
Corrigendum: Fault-tolerant quantum computation with a soft-decision decoder for error correction and detection by teleportation.
Goto H, Uchikawa H.
Decoherence control by quantum decoherence itself.
Roszak K, Filip R, Novotný T.
Efficient synthesis of universal repeat-until-success quantum circuits.
Bocharov A, Roetteler M, Svore KM.
Experimental superposition of orders of quantum gates.
Procopio LM, Moqanaki A, Araújo M, Costa F, Alonso Calafell I, Dowd EG, Hamel DR, Rozema LA, Brukner Č, Walther P.