Bikram Khanal

According to our database, Bikram Khanal authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats.

Pablo Rivas, Javier Orduz, Tonni Das Jui, Casimer M. DeCusatis, Bikram Khanal

Mach. Learn. Knowl. Extr., June, 2024

NLP-Guided Synthesis: Transitioning from Sequential Programs to Distributed Programs.

Arun Sanjel, Bikram Khanal, Greg Speegle, Pablo Rivas

CoRR, 2024

Learning Robust Observable to Address Noise in Quantum Machine Learning.

Bikram Khanal, Pablo Rivas

CoRR, 2024

Generalization Error Bound for Quantum Machine Learning in NISQ Era - A Survey.

Bikram Khanal, Pablo Rivas, Arun Sanjel, Korn Sooksatra, Ernesto Quevedo, Alejandro Rodríguez Pérez

CoRR, 2024

On Adversarial Examples for Text Classification by Perturbing Latent Representations.

Korn Sooksatra, Bikram Khanal, Pablo Rivas

CoRR, 2024

A Modified Depolarization Approach for Efficient Quantum Machine Learning.

Bikram Khanal, Pablo Rivas

CoRR, 2024

2023

Supercomputing leverages quantum machine learning and Grover's algorithm.

Bikram Khanal, Javier Orduz, Pablo Rivas, Erich Baker

J. Supercomput., April, 2023

2021

Quantum Machine Learning: A Case Study of Grover's Algorithm.

Bikram Khanal, Pablo Rivas, Javier Orduz, Alibek Zhakubayev

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Human Activity Classification Using Basic Machine Learning Models.

Bikram Khanal, Pablo Rivas, Javier Orduz

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021