This week I joined a quantum readiness workshop by the Quantum Computing Society of the Philippines. (https://quantumreadyph.qcsp.institute/)
A few days before that, I spoke with Bobby Corpuz. It was one of the clearest tech conversations I’ve had in a while.
We talked about Grover’s algorithm. Here’s the simple version.
Imagine a list of 1 million records. If it’s sorted, finding something is easy. But if it’s not sorted, you may need to check every record. That takes time.
In finance, this matters. Think about searching transactions, risks, fraud signals, or market data. Often, the data is messy. You don’t always know where to look.
This is where Grover’s algorithm becomes useful. It allows a quantum computer to search much faster than a normal one. Instead of checking all 1 million entries, it can find what it needs in about 1,000 steps.
That’s not just faster. That’s a different level of efficiency.
For financial systems, this has real meaning.
Faster search means:
- Faster fraud detection
- Faster portfolio analysis
- Faster risk discovery
And speed matters.
But more than speed, this is about decision-making. Better search leads to better insight. And better insight leads to better outcomes. What I found most valuable was how this was explained.
Talking to Bobby Corpuz was calm and focused. No hype. No exaggerated claims. (No DICT). Just clear thinking.
In today’s environment, especially with AI, discussions can feel noisy. There is pressure to move fast, to react, to compete. But quantum computing feels different, for now. It is still being shaped. And that creates space for thoughtful work.
My takeaway is simple: The next wave of advantage may not come from more data. It may come from better ways to search data. Grover’s algorithm is one example of that shift. It reminds us that efficiency in finding answers can be just as important as having information.
For financial professionals, that’s worth paying attention to.
Dominic “Doc” Ligot is one of the leading voices in AI in the Philippines. Doc has been extensively cited in local and global media outlets including The Economist, South China Morning Post, Washington Post, and Agence France Presse. His award-winning work has been recognized and published by prestigious organizations such as NASA, Data.org, Digital Public Goods Alliance, the Group on Earth Observations (GEO), the United Nations Development Programme (UNDP), the World Health Organization (WHO), and UNICEF.
If you need guidance or training in maximizing AI for your career or business, reach out to Doc via https://docligot.com.
