World Quantum Week 2026 | Day 02 Spotlight | QCSP (April 16, 2026)

Value of the Information & Strength of the Argument

The talk provides a valuable high-level overview of the intersection of AI and quantum computing, particularly for a general audience. The speaker effectively argues that current AI scaling is hitting physical and economic limits, and quantum computing could offer a paradigm shift. He uses relatable analogies (spinning coin for superposition) and concrete examples (GPT-4 training costs, energy consumption) to support his points. However, the argumentation is not deeply technical and relies on anecdotal evidence and personal experience rather than rigorous citations. The speaker acknowledges his own limited depth in quantum computing, which adds honesty but also limits the depth of the analysis.

Scientific Rigor, Source Quality, Title Accuracy

The speaker demonstrates good scientific rigor in his professional background and mentions specific projects and technologies (e.g., transformer architecture, GPT-4, DOST projects). However, he does not provide formal citations or references during the talk. The title accurately reflects the content, which is a spotlight talk on quantum and AI convergence. The talk is more of an expert opinion and overview than a rigorous scientific presentation, but it is grounded in the speaker’s experience and knowledge.

The title accurately reflects the content: a spotlight talk on the convergence of quantum computing and AI, part of the World Quantum Week event.

7/10

The speaker is a senior science research specialist at DOST-ASTI with over two decades of experience in AI and ML, and is pursuing a PhD in computer science. He provides a high-level overview of AI and quantum computing, citing specific examples and personal project experience. However, the talk is largely informal and lacks detailed citations or rigorous scientific depth.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 00:00Introduction and housekeeping by the host, including attendance tracking and event reminders.
• 03:00Speaker introduction by the host, highlighting Elmer Peramo's background and expertise.
• 05:00Elmer Peramo begins his talk, outlining the agenda: AI revolution, quantum computing 101, convergence, real-world applications, and Philippine context.
• 10:00Discussion on the current state of AI, including large language models, generative AI, and AI agents, and the rapid pace of AI news.
• 15:00Explanation of the limits of classical AI: training costs, energy consumption, and diminishing returns, with examples like GPT-4.
• 20:00Introduction to quantum computing basics: superposition, interference, and entanglement, with analogies and mathematical insights.
• 25:00Discussion on how quantum computing can address AI's efficiency crisis, including potential applications in drug discovery and climate modeling.
• 30:00Elmer Peramo shares his experience with DOST projects, including weather forecasting and climate modeling, and the need for hyper-scalers.
• 35:00Call to action for students and professionals to engage with quantum computing and AI, and the importance of staying updated.
• 40:00Q&A session begins, with audience questions and further discussion.

• Attention Is All You Need — Mentioned as the original transformer paper (2017) that underpins modern AI architectures.
• GPT-4 — Referenced as an example of a large language model with high training costs and energy consumption.
• Project Glasswing (Anthropic) — Mentioned as a recent AI development with potential security implications, though details are vague.

• Quantum Computing and AI: A Convergence — IBM's quantum computing resources discuss the potential synergy between quantum computing and AI.

• Quantum Computing Might Not Be the AI Savior — Some experts argue that quantum computing's benefits for AI are still theoretical and may not materialize in the near term.