Quantum computing is predicted to become a reality within a generation, with forecasts placing its emergence around 2030. This revolutionary technology is expected to bring about significant changes to traditional IT teams, introducing different problems, solutions, and methodologies that challenge our current understanding of IT roles. 

With an existing IT skills gap, a crucial question arises: Are companies prepared to leverage the benefits of early quantum computing adoption? And if not, how can they ready themselves for this transformative technology before the availability of a fully operational, fault-tolerant quantum computer?

A Date with Quantum: When is it Arriving?

The timeline for the arrival of quantum computing remains a topic of debate. Many, like IBM, estimate it around 2030, but some forecasts suggest it could arrive sooner. Scott Bucholz, Global Quantum Lead at Deloitte Consulting, provides a more nuanced perspective. He believes that small but significant improvements will occur in the coming years, bringing value to businesses. Bucholz asserts that quantum computing will not arrive in a sudden, dramatic moment; instead, it will gradually introduce valuable enhancements in certain areas.

Early Quantum Applications: What to Expect?

One area where Bucholz believes quantum computing will have an early impact is machine learning. Given the technology's current limitations, machine learning or optimization is expected to be deployed in scenarios where quality takes precedence over time. While real-time applications may not be immediately available, there will be areas where the quality of results and prediction or optimization is of utmost importance.

The Quantum Impact: How IT Departments Will Change

Quantum computing's gradual evolution will inevitably affect the composition of IT departments. Early adopters of the technology will require specialized skill sets, such as quantum physicists, to comprehend the intricate workings of quantum computing. However, as the technology matures, the degree of specialization required will decrease. Over time, the focus will shift from a specialization phase to an operational phase, transitioning from a need for quantum physicists to a demand for practical skills in quantum information science.

Bridging the Skills Gap: The Training Challenge

For the foreseeable future, IT departments will need professionals who understand the limitations of quantum hardware. Retraining existing staff to work with quantum computers currently takes a year or two, depending on the hardware and the individual's aptitude for physics and math. As the technology matures and the level of abstraction increases, this deep understanding requirement will lessen.

This evolution can be likened to the development of data science, which initially required specialized physicists but has since broadened to include individuals with master's degrees. Organizations will likely follow a similar journey with quantum computing, starting with PhDs in quantum information science, then cross-training the rest of the team.

Conclusion: The Journey to Quantum Adoption

The journey to quantum adoption is a challenging one, requiring not only a shift in technology but also a shift in skills and mindset. By beginning this journey now and preparing their teams for the quantum revolution, companies can ensure they are ready to seize the opportunities this new technology will bring. The gradual arrival of quantum computing offers businesses the time to adapt and evolve, enabling them to bridge the IT divide and unleash the power of quantum computing.