Search Results for author:
Found 15 papers, 2 papers with code
Machine Learning as an Accurate Predictor for Percolation Threshold of Diverse Networks
The percolation threshold is an important measure to determine the inherent rigidity of large networks.
Masking of Quantum Information into Restricted Set of states
Here, we explore the possibility of masking in the IBM quantum experience platform by designing the quantum circuits and running them on the 5-qubit quantum computer.
Quantum State Tomography
Quantum Physics
Demonstration of a general fault-tolerant quantum error detection code for (2n+1)-qubit entangled state on IBM 16-qubit quantum computer
The code is able to detect an arbitrary quantum error in any one of the first 2n qubits of the (2n+1)-qubit entangled state and detects any bit-flip error on the last qubit of the (2n+1)-qubit entangled state via measurements on a pair of ancillary error syndrome qubits.
Quantum Physics
Spin-Boson Model to Demonstrate Quantum Tunneling in Biomolecules using IBM Quantum Computer
Efficient simulation of quantum mechanical problems can be performed in a quantum computer where the interactions of qubits lead to the realization of various problems possessing quantum nature.
Quantum Physics
Application of quantum scrambling in Rydberg atom on IBM quantum computer
We apply this circuit to measure OTOC and hence the quantum scrambling in a simulation of two spin Ising spin model for Rydberg atom.
Quantum Physics
Efficient quantum algorithm for solving travelling salesman problem: An IBM quantum experience
Here we propose a quantum algorithm to solve the travelling salesman problem using phase estimation technique.
Quantum Physics
Designing Quantum Router in IBM Quantum Computer
We design an equivalent quantum circuit, by the means of single-qubit and two-qubit quantum gates, which can perform the operation of a quantum router.
Quantum Physics
Automated Error Correction in IBM Quantum Computer and Explicit Generalization
Experimental realization of automated error correction is demonstrated through IBM Quantum Experience for Bell and GHZ states using a measurement based approach upon ancilla qubits.
Quantum Physics
Application of S-Transform on Hyper kurtosis based Modified Duo Histogram Equalized DIC images for Pre-cancer Detection
Our proposed hyper kurtosis based histogram equalized DIC images enhances the contrast by preserving the brightness.
A comparative study between proposed Hyper Kurtosis based Modified Duo-Histogram Equalization (HKMDHE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) for Contrast Enhancement Purpose of Low Contrast Human Brain CT scan images
In this paper, a comparative study between proposed hyper kurtosis based modified duo-histogram equalization (HKMDHE) algorithm and contrast limited adaptive histogram enhancement (CLAHE) has been presented for the implementation of contrast enhancement and brightness preservation of low contrast human brain CT scan images.
Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection
In this paper, we have carried out the detail studies of pre-cancer by wavelet coherency and multifractal based detrended fluctuation analysis (MFDFA) on differential interference contrast (DIC) images of stromal region among different grades of pre-cancer tissues.
Diagnosing Heterogeneous Dynamics for CT Scan Images of Human Brain in Wavelet and MFDFA domain
CT scan images of human brain of a particular patient in different cross sections are taken, on which wavelet transform and multi-fractal analysis are applied.
Wavelet and Fast Fourier Transform based analysis of Solar Image
Both of Wavelet and Fast Fourier Transform are strong signal processing tools in the field of Data Analysis.
An Adaptive Statistical Non-uniform Quantizer for Detail Wavelet Components in Lossy JPEG2000 Image Compression
Through the objective and subjective assessments, it is shown that the non-uniform quantizer performs better than the deadzone uniform quantizer in the perceptual quality of the reconstructed image, especially at low bitrates.
A Semi-automated Statistical Algorithm for Object Separation
We explicate a semi-automated statistical algorithm for object identification and segregation in both gray scale and color images.
