The arrival of quantum advantage, the point at which a quantum computer outperforms classical systems at commercially useful tasks, is imminent. Estimates indicate that quantum technology represents a potential $2 trillion market opportunity, with 90 percent of that value projected to accrue to early movers.
As a result, more than half of major companies expect to integrate quantum capabilities into their workflows within the next two years.
Much like AI skills, understanding quantum computing will become essential for technology literacy, and enterprises are already investing in building internal capability.
Quantum hardware and software technology development is scaling rapidly, but the ultimate bottleneck to adoption won’t be quantum computers themselves. It will be a shortage of people who know how to use and apply their benefits to their fields. For forward-thinking employees, technical experts and business leaders, the immediate priority is understanding what quantum computing can actually achieve today and preparing to tap into it.
How Do You Start Building Quantum Computing Skills?
Quantum computing learning begins with mastering key concepts like qubits, superposition and entanglement, then identifying whether specific business problems suit quantum algorithms. Learners across all seniority levels can build foundational skills, map role-specific challenges to quantum workflows and practice hands-on with cloud platforms like Amazon Braket or Qiskit using small-scale, real-data proofs-of-concept.
Quantum Computing Isn’t Like Anything Else
Classical computers process information using bits, which function like light switches that can only be turned on (one) or off (zero) sequentially. Quantum computers use quantum processing units (QPUs) powered by qubits. Because qubits can exist in a state of superposition, representing multiple fractional combinations of one and zero simultaneously, and can be linked together, their computational power scales exponentially. This new computational paradigm offers the potential to evaluate a vast number of possibilities and interactions at the same time, promising to unlock entirely new use cases that even today’s supercomputers cannot solve optimally.
Quantum computing holds significant commercial potential across industries and is already likely being applied in your own field. Today, market leaders in logistics use quantum computing to optimize supply chains and real-time scheduling, while financial institutions leverage quantum algorithms for increased-precision risk calculations and portfolio optimization. In chemistry and materials science, companies use quantum simulation to improve drug discovery and design efficient battery storage.
How to Start Your Quantum Learning Journey
If your company doesn’t already offer a quantum workforce development program, you can explore external options to build these skills independently, such as self-paced interactive learning platforms and university-backed formal programs.
A great quantum curriculum will cover key concepts for understanding how a quantum computer works, from fundamental quantum principles like qubits, superposition and entanglement, all the way through to how it can be applied to real business challenges. Look for modular learning paths tailored to specific roles rather than a general, one-size-fits-all introduction.
A core element of this foundational knowledge is understanding whether a business problem can be formulated to suit a quantum computing algorithm. That’s a good place to start and provides a useful milestone for the learning journey. Then it’s a matter of understanding the fundamentals, such as how to represent data with qubits and how to interpret measurement of the qubits’ final state.
More advanced considerations include qubit ordering, understanding how classical variables are encoded into quantum states and accounting for hardware limitations such as noise and which qubits on the computer’s chip can actually interact with each other.
Applying Quantum to Specific Challenges
Once you have a foundational understanding, the next step is to identify organizational challenges and find out whether quantum can offer a solution.
Take Network Rail in the U.K., for example, who were looking to improve the efficiency of trains passing through London Bridge Station. With thousands of trains arriving and departing per day, they wondered if quantum computing would be capable of solving such a large logistical challenge.
To determine this, they assessed:
- Whether the workflow of organizing a finite set of variables, including arrival and departure times, train length and platform length, was well-suited to quantum computing
- Whether the number of variables was too numerous for classical computer systems
- If optimizing with a quantum computer would boost accuracy in train scheduling and on-time performance over other solutions
- Whether small performance gains, such as in on-time arrivals, could compound across the operation of National Rail’s entire network
Once you identify that quantum could be a viable solution, get started working on the problem at a small scale, with real data and hardware.
Even if your company doesn’t have a quantum computer of its own, it’s possible to access resources through a cloud service like Amazon Braket or Qiskit. These tools will prime you to be able to translate queries about these datasets into language that a quantum computer can understand.
This approach allows you to model a key business problem at an experimental scale, such as optimizing a small asset portfolio or a basic transit route and then scale up once the case is made. For employees at Network Rail, this involved keeping the scope of the problem to a size appropriate for today’s cloud-accessible quantum devices by focusing on near-term routing decisions for trains at the station, using up to 20 minutes of real-time data.
Nevertheless, it was a successful demonstration of the ability to find an optimal solution using real quantum computers on a small-scale version of the problem, and they could then project that the solution could scale up as quantum hardware capabilities grew. Their experimentation found that quantum computing could deliver network-wide routing results superior to classical approaches by 2028. That’s a timeframe short enough to prepare for now.
Succeeding in Quantum at Every Seniority Level
Advantage in the quantum era will belong to those who treat building quantum skills as a career development priority in the near-term. Any individual employee, regardless of their seniority, can build useful quantum skills.
Everyone
- Build a foundational understanding, including learning key terms, how quantum works and the types of problems quantum computers are expected to be able to solve
- Consider how quantum computing might be a useful tool in their toolbelt for the future
Middle Management and Domain Experts
- Understand how quantum compares against classical methods to solve common problems in their role
- Identify the most challenging problem in their role and determine how to map it to a quantum workflow
- Design limited, contained quantum proofs-of-concept to solve these bottlenecks, and have your team experiment with them. Look to recreate small, relevant simulations that have already been done where possible
- Practice integrating quantum into hybrid workflows, using it to handle the most difficult aspects of a workflow while letting classical tools do the rest
Senior Leadership
- Explore how quantum could accelerate strategic priorities
- Learn about quantum governance at scale. Companies will need to protect data employees enter into quantum systems and ensure only the right people have access to powerful quantum tools
By building an understanding of quantum computing, how it applies to key problems, and experimenting with small scale proofs-of-concept, professionals of all backgrounds can prime their company to gain a true competitive advantage from quantum computing. Workers can showcase these skills by initiating internal competitions, sharing potential quantum solutions with management and demonstrating how the technology solves frequent, everyday business problems.
When the hardware reaches commercial scale, it will be the organizations that prioritized upskilling their workforce now realizing the benefits first and leading their industries.
