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Quantum computers are nearing real-world impact, with Microsoft, Google, and IBM leading the way. By bolting cryogenic “quantum zones” onto traditional data centers, these systems could radically accelerate AI workloads. Global powers are racing to secure supply chains, talent, and standards. The future of AI might hinge on how open, secure, and interoperable quantum infrastructure becomes.
A “bit” is a tiny toggle that can be set to either 0 (off) or 1 (one). Bits are the foundation of our information technology and digital society. In the future, we will have quantum computers that rely instead on “qubits,” which exist in 0 and 1 states simultaneously, theoretically allowing quantum computers to explore multiple states at once. However, qubits are sensitive to tiny disturbances like heat, vibration, and stray magnetic fields. The tiniest disturbances can cause them to lose their quantum state. This makes it difficult to operate quantum computers at scale and to keep error rates low.
In the past year, quantum experts have shown credible roadmaps to millions of qubits, which is the scale needed to turbo-charge AI models of the future. They have also been able to reduce error rates enough to keep calculations coherent.
As such, we are finally starting to see what a realistic path to the quantum era might look like. While it may not replace conventional data centers in the near future, we might see it provide a “boost button” that lets cutting-edge AI systems explore staggeringly large search spaces in biology, chemistry, or materials in minutes instead of decades.
Despite the different approaches undertaken by leaders in quantum, in one aspect, they are similar: they all expect to bolt a cryogenic “quantum zone” onto existing data centers.
Others in the space, are promoting quantum and other physical research and plan to move boldly as the opportunity arises.
Economies around the world are rushing to co-locate qubits and AI accelerators, knowing that whoever pairs them first gets the edge in areas like drug discovery, battery design, and national-security modeling. Supply chains are the new battleground: helium-3 isotopes, fridge production, and control-chip lithography sit beside GPUs on wish lists (and export control watchlists).
Quantum’s physics are weird, but the questions it raises are familiar: Will a handful of vendors lock the market the way three cloud giants dominate today, or can governments and developers nudge the stack toward real choice?
There are a few ways we can push quantum in a more open direction:
Just like how GPUs supercharged AI, quantum will accelerate conventional AI computing. This will happen sooner than expected. Whether that future feels like a public utility or a gated community depends partly on choices made now about open standards and cryptographic safeguards.