Quantum Machine Learning
14 papers for year 2021 from Europe PMC
Showing 1-12 of 14
A Method to Compute the Schrieffer-Wolff Generator for Analysis of Quantum Memory.
Kim DH, Lee SY, Jo Y, Kim DY, Kim Z, Jeong T.
Analyzing SARS CoV-2 Patient Data Using Quantum Supervised Machine Learning
Yu Z.
Comparison between Fluorimetry (Qubit) and Spectrophotometry (NanoDrop) in the Quantification of DNA and RNA Extracted from Frozen and FFPE Tissues from Lung Cancer Patients: A Real-World Use of Genomic Tests.
Masago K, Fujita S, Oya Y, Takahashi Y, Matsushita H, Sasaki E, Kuroda H.
Experimental semi-autonomous eigensolver using reinforcement learning.
Pan CY, Hao M, Barraza N, Solano E, Albarrán-Arriagada F.
Exponential suppression of bit or phase errors with cyclic error correction.
Google Quantum AI.
Hamiltonian simulation algorithms for near-term quantum hardware.
Clinton L, Bausch J, Cubitt T.
Importance of Kernel Bandwidth in Quantum Machine Learning
Shaydulin R, Wild S.
Iterative qubit-excitation based variational quantum eigensolver
Yordanov Y, Armaos V, Barnes C, Arvidsson-Shukur D.
Learning Temporal Quantum Tomography.
Tran QH, Nakajima K.
Optimization of Sources of Circulating Cell-Free DNA Variability for Downstream Molecular Analysis.
Till JE, Black TA, Gentile C, Abdalla A, Wang Z, Sangha HK, Roth JJ, Sussman R, Yee SS, O'Hara MH, Thompson JC, Aggarwal C, Hwang WT, Elenitoba-Johnson KSJ, Carpenter EL.
Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy.
Niraula D, Jamaluddin J, Matuszak MM, Haken RKT, Naqa IE.
Resonant quantum principal component analysis.
Li Z, Chai Z, Guo Y, Ji W, Wang M, Shi F, Wang Y, Lloyd S, Du J.