Quantum Computing

Giving an introductory tutorial on using Qiskit at the International Conference on Quantum Sciences and Technology (ConQuest 2022).

Presenting the results of my recent accepted paper, Modified Layerwise Learning for Data Re-uploading Classifier in High-Energy Physics Event Classification, at the Quantum Algorithms & Applications track and Quantum Computing for High-Energy Physics Workshop of IEEE Quantum Week 2021.

Presenting the progress of my research on Quantum Generative Adversarial Networks algorithm to simulate the $t\bar{t}H(b\bar{b})$ production processes in the LHC experiment at the CERN Summer Student Session.

Improving quantum machine learning performance on high-energy physics event classification.

Presenting the progress of my work on Quantum Convolutional Neural Networks in classifying images of particles from high-energy physics events at the MCQST Student Conference.

A Panel Discussion highlighting quantum computing using microwaves, quantum computing innovations/applications, and the future scope of quantum computing.

Tulisan ini bertujuan untuk memberikan pemahaman dasar tentang komputer dan komputasi kuantum, membahas beberapa buzzword seperti superposisi dan entanglement, mitos, dan tutorial singkat simulasi komputasi kuantum menggunakan Python dengan framework Qiskit.