SWG Highlights the Future of Quantum Machine Learning and IBM Quantum at Bali AI Summit 2026

PT. Sinergi Wahana Gemilang (SWG) reaffirmed its commitment to future-ready innovation by participating in Bali AI Summit 2026, held on April 9–10, 2026. During the event, Dr. Andi Sama, Director and CIO of PT. Sinergi Wahana Gemilang, delivered a keynote session titled “Quantum Machine Learning (QML): The Convergence of Quantum Computing and Machine Learning, featuring IBM Quantum.” 

Organized by the Indonesia Artificial Intelligence Society (IAIS) and Politeknik International Bali, the summit brought together industry leaders, academics, and technology practitioners to discuss the future of artificial intelligence and emerging technologies.

SWG’s participation reflects the company’s continued commitment to staying at the forefront of global technology trends while contributing to the advancement of Indonesia’s digital ecosystem.

Understanding Quantum Machine Learning (QML)

In his presentation, Dr. Andi Sama explained that Quantum Machine Learning (QML) represents the integration of Quantum Computing and Machine Learning. The objective is to leverage quantum computing capabilities to solve selected computational problems more efficiently than conventional classical systems.

QML is increasingly being explored for use cases such as:

• Financial portfolio optimization

• Supply chain and logistics optimization

• Material and chemical simulation

• Drug discovery

• Fraud detection

• Natural language processing

• Network traffic analysis

These areas are becoming increasingly important as organizations seek faster processing, deeper analytics, and more intelligent decision-making capabilities.

From the NISQ Era to Fault-Tolerant Quantum Computing

Today, quantum computing is still in the Noisy Intermediate-Scale Quantum (NISQ) era, where current quantum systems are already capable of experimentation and proof-of-concept projects, but still face limitations such as hardware noise, error rates, and qubit scalability.

The industry is expected to move toward the era of Fault-Tolerant Quantum Computing (FTQC) around 2030, where quantum systems become significantly more stable, scalable, and commercially practical.

This means Quantum Machine Learning is currently in the applied research phase, with strong long-term potential to become a mainstream technology.

IBM Quantum and the Future of Hybrid Computing

Another key topic highlighted in the session was the concept of a Hybrid Classical-Quantum Approach, where traditional computing infrastructure such as HPC systems, GPUs, and Quantum Processing Units (QPUs) work together to solve different classes of workloads efficiently.

Rather than replacing classical computing entirely, the future of enterprise computing is expected to be built on strategic integration between existing systems and next-generation quantum capabilities.

Through its cloud-based ecosystem and enterprise research initiatives, IBM Quantum continues to play a leading role in making quantum technology more accessible for businesses, researchers, and developers worldwide.

SWG’s Commitment to Indonesia’s Technology Future

SWG’s presence at Bali AI Summit 2026 further strengthens its position as a company committed to innovation, enterprise technology enablement, and future digital transformation.

By actively engaging in discussions around AI, Quantum Computing, Cybersecurity, and Data Infrastructure, SWG aims to help Indonesian organizations stay prepared for the next wave of technological change.

Through this keynote session, SWG demonstrated that understanding frontier technologies today is essential for building tomorrow’s competitive advantage.