In this work, we introduce a quantum version of the density peak clustering algorithm, built upon a quantum routine for minimum finding. We prove a quantum speedup for a decision version of density peak clustering depending on the structure of the dataset. Specifically, the speedup is dependent ...
The result is a further enhancement of the peak C(r) height, which is compatible with reduced noise. However, the agreement with a coarsening theory based only on l/ξ is not improved (see departure from the fit curve). The data clearly shows signs of clustering in κ, indicating the ...
alongside experiments at otherκwithλ(κ) rescaled according to (15). Simulation results are also shown. All experiments show a peak value inC(r), consistent with a combination of critical and coherent post-critical dynamics. The ZNE curve is shifted to the left of...
These results underscore its superior capability in effectively diagnosing medical images compared to traditional models like SVM and newer variants such as SQSVM and BGWO-SQSVM, which also perform robustly but do not reach the peak metrics of the Q-BGWO-SQSVM. Expanding the analysis to 10-Fol...
[3]. The Global Cancer Research Center's 2020 survey revealed that female breast cancer is the most common cancer globally, accounting for 11.7% of new cases. This surpasses lung cancer, which is the most common cancer globally. The peak age range for breast cancer in women is between 45 ...
5. It is interesting to note that while the peak of the curve in Fig. 4 is found at 1/9, the fidelity starts to fall significantly only at around 2/9, suggesting the possibility of systems that trade single-gate fidelity for higher success probabilities. The gate operation at the ...
Algorithm for DNA Sequence Assembly by Quantum Annealing. BMC Bioinform. 2022, 23, 122. [Google Scholar] [CrossRef] [PubMed] Kubacki, M.; Niranjan, M. Quantum Annealing-Based Clustering of Single Cell RNA-Seq Data. Brief. Bioinform. 2023, 24, bbad377. [Google Scholar] [CrossRef] [Pub...
Some 35 genes with the highest variance across samples were selected for hierarchical clustering. Differential gene expression and gene-set enrichment analysis To identify differentially expressed genes, we used the linear modelling-based limma algorithm on the transcriptome dataset50. Briefly, we compared...
Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography image processing, interpretation, a
The use of a restricted Boltzmann machine model allowed the recovery of a “hidden” feature in the spectra: prominent peak structures present both in the normal and anomalous self-energies of the single-particle spectral function. These peaks structures cancel each other in the total self-energy...