Quantum computing is hogging the headlines in 2025 and it's ok to say it's the year of quantum--or maybe qubits--with 10 months to go in the year. The quantum computing developments are flying, but it's worth noting that we're years away from big commercial adoption.

Nevertheless, CxOs need to get ready. After all, the boardroom is getting tired of AI. The generative AI trade is losing steam. Just check out the lack of reaction to Nvidia, which only grew its data center business a mere 93%. Ho hum. Boardrooms are going to start asking about your quantum computing plans in 3, 2, 1.

Why is it the year of quantum already? For starters, there's a new development almost weekly. Pure play quantum stocks are hot but have cooled off a bit. Hyperscale cloud players are deadly serious about quantum as AWS, Microsoft Azure and Google Cloud all have credible efforts underway. Quantinuum is threading the needle between AI and quantum computing. IBM is scaling. And there are real use cases out there as companies like IonQ are citing projects with DARPA, Astra Zeneca and others.

Here's what's happened so far in the first eight weeks of 2025.

January

February

What now?

One thing worth noting here is that we’re really looking at the year of quantum readiness and development rather than deployment. That said, CxOs need to start thinking about quantum. Constellation Research analyst Holger Mueller broke down how you should be thinking about the year of quantum.

  • If you have to protect your IP against state actors you need to do quantum key encryption today.
  • If you have smaller planning and simulation issues in your business - get your pilot going.
  • If you are on process manufacturing, chemical, pharma etc. - you must have quantum pilots. You likely have them on annealing and laser gate already but need to keep an eye on all super conducting players.
  • Everybody else can sit back and get the popcorn but keep an eye on medium scale planning and simulation. All enterprises have those. On the tech side, watch stabilization, componentization and then scale loop. IBM is the most advanced and learn from their process.