SIG-MACS Quantum Computing Workshop

Day 1 – May 9, 2024 (2:45 AM – 4:45 PM)

Aside from this quantum computing workshop at DLSU – Laguna Campus on May 9, 2024, there will also be a satellite workshop on quantum computing (algorithms and programming) at the Adventist University of the Philippines in Silang, Cavite, on May 12, 2024. For more information about this satellite workshop, kindly visit https://www.quantumcomputing.ph/workshop2024.html


▷  Quantum Computing Session 1

2:45 PM – 3:45 PM

An Introduction to Quantum Computing and Some Early Quantum Algorithms
Quantum computing is a fast-emerging field that has the potential to revolutionize the way we approach solving difficult computing problems in different domains. Instead of suppressing non-classical effects, this computing paradigm embraces quantum mechanical effects as a potential source of advantages in solving problems. In this talk, participants will be introduced to the elementary concepts and mathematical abstractions of operators and operands in quantum computing. Some early quantum algorithms will be presented to illustrate the interplay between these concepts. The circuit model of computation will also be used in representing the process of quantum computation. This talk will provide participants with sufficient theoretical background necessary to appreciate an introductory presentation on writing computer programs for quantum processing units and quantum circuit simulators.

Mr. Jeffrey Aborot is a science researcher at the Computer Software Division of the DOST-Advanced Science and Technology Institute. He leads research and development projects in DOST-ASTI with topics ranging from software engineering, artificial intelligence, Internet of Things, and quantum computing. He is the current lead for quantum computing research and development program in DOST-ASTI.

Mr. Aborot is the current project lead of DOST-ASTI's Quantum Circuit Simulation Project. This project aims to provide local researchers access to quantum circuit simulation software packages in the Computing and Archiving Research Environment's High-Performance Computing facility. It is hoped that eventual local researchers in quantum computing will be able to utilize these software packages for designing and analyzing quantum algorithms in small problem instances.

3:45 PM – 4:45 PM

Navigating Quantum Algorithms: An Introduction to IBM Qiskit
Embark on a captivating exploration of quantum algorithms through the lens of IBM Qiskit. This session serves as a foundational journey, focusing on the fundamental principles of quantum computation and the practical implementation of simple quantum circuits up to the Deutsch-Jozsa and Bernstein-Vazirani algorithms. Participants will unravel the mysteries of qubits, quantum gates, and quantum circuits, gaining hands-on experience in designing, simulating, and executing basic quantum algorithms using IBM's cutting-edge Qiskit framework. Led by the speaker's expertise, attendees will emerge equipped with the essential skills to embark on their quantum computing endeavors. Join us for an enlightening session and unlock the potential of quantum algorithms with IBM Qiskit.

Mr. Bobby O. Corpus is a Quantum Computing Evangelist. He is president of OneQuantum Philippines, a chapter of OneQuantum, a global community on Quantum Technologies. He is a Technical Architect at Section6, New Zealand, and was the Innovation Lead at the Enterprise Data Office at Globe Telecoms. He was a Solution Architect at Red Hat and a Vice President and Lead Solution architect in Deutsche Bank AG, Singapore.

He graduated cum laude in Physics from the National Institute of Physics where he studied the Topology and Causality of Spacetime. His interest in Quantum Computing comes from his training in Physics and Computer Science.

He organized Quantum Computing Philippines in 2017 to promote awareness of Filipinos to Quantum Computing. His group was recognized by OneQuantum global community and was assimilated into the group as OneQuantum Philippines, where he serves as the current president. He is currently a board member of the DOST-PCIEERD Quantum Technology Board.

▷  Quantum Computing Session 2

2:45 PM – 3:45 PM

Quantum Computing Optimization: Theory, Application, and Operationalization
Optimization theory can be regarded as one of the most practical and pervasive disciplines in computer science. With the advent of quantum computing, we can explore another perspective in performing optimization tasks with native quantum mechanical properties in available computing devices. This workshop is divided into three parts. The first part will focus on understanding the theories of Adiabatic Quantum Computing and quantum annealing. The second part will cover the principles of the Ising Model and Quadratic Unconstrained Binary Optimization (QUBO) model. The third part will detail modeling strategies and programming Ising/QUBO models on a quantum computing device.

Engr. Dylan Josh Lopez is a research assistant at Chung Yuan Christian University in Taiwan while taking his Ph.D. in Electrical Engineering focusing on Quantum Computing Applications for Power Engineering. He specializes in Quantum Computing Optimization, Quantum Machine Learning, and Computer Vision. He obtained his MS in Computer Science and Information Engineering from Chung Hua University, Taiwan, and his undergraduate degree in Computer Engineering from Adamson University. Currently, he is the director for partnerships and collaboration at OneQuantum Philippines and a part-time lecturer in the Department of Computer Technology at De La Salle University.

3:45 PM – 4:45 PM

Quantum Deep: How Quantum Computing Revolutionizes AI Development through Algorithms
The talk introduces the transformative potential of quantum computing in the realm of artificial intelligence. Beginning with an overview of quantum computing fundamentals, the speaker will discuss quantum mechanical phenomena such as superposition, interference, and entanglement, setting the stage for understanding how these principles enable quantum computers to tackle problems beyond the reach of classical methods. This foundational knowledge provides a springboard into the realm of AI, where computational complexity and data intensity often challenge traditional computing frameworks.
The presentation delves into the synergistic relationship between quantum computing and AI, particularly highlighting how quantum approaches address AI's inherent computational and data processing challenges. The speaker will highlight the impact of quantum computing and AI across various fields, including materials science, drug discovery, finance, biology, astronomy, and meteorology, illustrating how quantum algorithms offer new pathways for research and development. Central to the talk is the emerging field of quantum machine learning, where quantum algorithms offer groundbreaking advancements. This will examine how quantum machine learning is set to redefine AI development through its ability to perform complex computations more efficiently than classical counterparts.
The talk concludes by emphasizing the synergy between quantum computing and AI as a catalyst for scientific and technological breakthroughs, opening new horizons for innovation and problem-solving. It is the hope that attendees will leave with a clear understanding of the fundamental principles of quantum computing, its impact on AI development, and potential applications to solve some of today's most challenging problems.

Mr. Elmer C. Peramo is a distinguished Senior Science Research Specialist at the Advanced Science and Technology Institute (DOST-ASTI), leveraging an extensive background in machine learning and artificial intelligence applied across various sectors, including weather forecasting, agriculture, natural language processing, and healthcare. Over 15 years, he effectively managed multidisciplinary teams and bringing innovative AI projects to fruition. He contributes his expertise as an AI consultant to some startup companies, guiding them to leverage AI technologies effectively.

Elmer holds a master's degree in electrical engineering from the University of the Philippines, and currently a Ph.D. student of Computer Science at De La Salle University, Manila. He has taught Predictive Analytics, Data Science, Math, and Programming as a part-time lecturer at several colleges and universities. His academic involvement is further highlighted by his visiting scholar role at the University of Tennessee, Knoxville, where he focused on AI and Machine Learning applications in Additive Manufacturing. His dedication to the theoretical and practical aspects of AI and machine learning solidifies his standing as a significant contributor to technology and education.

Important Dates

  • Deadline of Paper Submission for Main Conference and Student Research Workshop
    Submission Portal  
    March 17, 2024

  • Author Notification for Main Conference and Student Research Workshop
    April 9, 2024

  • Deadline of Camera-Ready Submission for Main Conference and Student Research Workshop
    April 16, 2024

  • Early-Bird Registration Deadline
    Registration Link  
    April 21, 2024

  • Author Registration Deadline
    Registration Link  
    April 21, 2024

  • Conference Date
    May 9–11, 2024
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