It's been a week since President Trump signed an executive order directing a whole-of-government push on quantum computing — funding it, securing its supply chains, building its workforce, and making sure adversaries like China don't get there first. This marks a significant federal commitment to a technology that is either the next great computing revolution, or the most expensive science experiment in history, depending on the expert opinion. But one thing it can do: replace AI as the carrier of long-term hopes for the tech industry. This would be the right moment for a switch, as the vibe shifts on AI itself: models are more expensive to train, returns are harder to demonstrate. Investors who have sent AI stock soaring may soon be looking for the next big thing to believe in.
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Quantum computing — with its theoretical promise of solving problems that would take classical computers millennia — is a real and genuinely fascinating technology. It's just a lot more complicated, and further away, than the White House-led hype suggests.Your laptop processes information in bits. Tiny switches in a computer see data in binary code: either as a 0 or a 1. Quantum computers swap those out for qubits, which can exist as 0, 1, or a combination of both at the same time — a property called superposition.Which, if we can harness it, would fundamentally supercharge everything a computer can do.As IBM describes it, think of solving a maze. A classical computer tries every path until it finds the exit. A quantum computer, by using the interference patterns of qubits — the way their probability waves cancel out wrong answers and amplify right ones — can zero in on solutions without brute-forcing every option. Add entanglement, where qubits become so linked that measuring one instantly tells you about others, and you have a machine that approaches certain problems in a completely different way than anything humanity has built before.
