The quantum train is approaching its first station

There is a reflex that appears almost systematically whenever a new technology emerges. Organizations want to know a date. They ask: “When will it be ready?” As if that answer alone determined the moment when they should start paying attention.

I heard that question many times starting in 2020-2023. At the time, several observers believed that market-ready applications were still six or seven years away. That projection was consistent with the state of research and with the scientific programs underway. Yet I could not help seeing things differently.

The history of major technological revolutions teaches us that there are often two parallel timelines. The first is that of fundamental research. The second is that of industry. As long as a technology remains confined to laboratories, its evolution mainly follows the pace of scientific publications, university programs, and funding cycles. But when major industrial players begin to invest heavily, priorities change. Research no longer seeks only to understand; it now seeks to produce.

This phenomenon is nothing exceptional. We observed it with the Internet, with artificial intelligence, and with cloud computing. Every time private investment, commercial needs, and international competition converge, the pace of innovation accelerates. That is why I am more wary of dates than of trends.

Today, some experts believe that the much-discussed “Q-Day” could arrive far more quickly than was imagined even recently. For the banking sector in particular, some estimate that three or four years could represent a realistic horizon for the first impacts to become concrete enough to demand large-scale protective measures. In my view, however, the real question is not whether that estimate is accurate. It is what your organization will do if it is.

When a company waits for a technology to be fully mature before starting to prepare for it, it is already behind. The most significant transformations never consist solely of replacing IT infrastructure. They involve rethinking skills, security policies, data governance, software architectures, business processes, technology partnerships, and sometimes even the organization's business model.

Artificial intelligence gave us an eloquent demonstration of this. The organizations that were quietly experimenting with generative models before they became widely available now hold a considerable head start over those that waited for the market to impose the change on them.

Quantum computing will likely follow a similar trajectory. The real challenge will not be buying a quantum computer. Very few organizations will own one. The challenge will be understanding which parts of their activities could be affected by this new computing capability. Encryption mechanisms, identity infrastructures, certain optimization methods, scientific research, finance, logistics, or the discovery of new materials could evolve far more quickly than anticipated. In other words, the first impact of quantum will probably not be the arrival of a machine in your server room. It will be the emergence of a new competitive environment in which some organizations will have begun adapting their systems while others are still debating when the technology will arrive.

Quantum Beyond is convinced that preparation is always the best investment. Preparing does not mean immediately committing millions of dollars to experimental infrastructure. It means understanding your cryptographic dependencies, inventorying your critical digital assets, tracking the evolution of post-quantum standards, training your teams, and integrating this new reality into strategic planning.

The quantum train may not have pulled into the station yet. But it is now close enough that organizations should stop looking at the timetable and start packing their bags. By the time the first station is announced, it will already be time to board. Those who begin preparing then will discover that they should have been on the platform long ago.