Quantum Computing

Sector thesis

Quantum computing is a fundamentally different way of processing information. Instead of the 1s and 0s that power today's computers, quantum machines use quantum bits (qubits) that can exist in multiple states simultaneously. This allows them to solve certain types of problems—like simulating molecules or optimizing complex systems—far faster than classical computers ever could. Why now? The megatrend is simple: we're hitting the limits of what traditional computing can do cheaply. Drug discovery, materials science, financial modeling, and logistics optimization all have problems that would take classical computers centuries to crack. Quantum offers a potential shortcut. Major tech companies and well-funded startups are racing to build machines that actually work at scale, and early-stage breakthroughs are attracting serious capital. The sector splits into three rough buckets: hardware makers (companies building the actual quantum processors), software and algorithm developers (writing the code that tells quantum machines what to do), and cloud platforms (letting researchers rent time on quantum machines remotely, similar to how you'd rent computing power from Amazon or Microsoft today). The honest risks: quantum computers don't exist yet in any commercially useful form. We're still in the "proof of concept" phase. A retail investor buying into this space is betting on a technology that may take 10+ years to deliver real returns—or may hit fundamental physics walls that make it impractical. There's also the risk that classical computing evolves faster than expected, reducing quantum's advantage. For a typical portfolio, quantum is a small, high-risk allocation—if any. Watch for milestones like error-correction breakthroughs or the first real-world business problem solved faster on quantum than classical machines. These would signal the sector is moving from hype to reality. Until then, treat it as a long-term moonshot, not core holdings.