Quantum’s bold promise: What business leaders need to know

For years, business leaders and corporate boards have viewed quantum computing (QC) as a threat—and for good reason: It has the potential to break today’s strongest encryptions. That moment, commonly known as Q-Day, will occur when quantum computers succeed in factoring exceptionally large numbers, undermining the math that public-key cryptography depends on.

Though business leaders are keeping Q-Day top of mind, they are viewing QC through a new lens—less a threat and more an opportunity. Many are spurring their companies to experiment with QC now so that they will be ready to deploy it at scale once quantum computers become mainstream, which could happen within the next five years.

The potential benefits for early adopters are considerable. McKinsey research suggests that QC could create multibillions of dollars in enterprise value in the coming decade—and that’s just for the industries the authors analyzed that are most likely to benefit. Providers of quantum computing have accelerated their engineering road maps and made algorithmic breakthroughs that suggest that scalable applications could arrive in a matter of years.

Unlike classical computers, which process information in a linear way, quantum computers leverage the principles of quantum mechanics to explore many potential solutions in parallel. While quantum computers themselves are extremely complex, they differ from classical computers in one fundamental way. Classical computers are built on units of information called bits, which can be represented by either a zero or a one. Quantum computers, on the other hand, are built on quantum bits, or qubits, which can represent any combination of zero, one, or both simultaneously. This form of nonlinear processing allows quantum computers to solve complex tasks far faster than even today’s most powerful supercomputers.

QC’s greatest strength lies in its ability to solve problems that overwhelm classical computers, such as advanced simulation and probabilistic modeling. These capabilities make QC attractive for applications such as drug discovery, material simulation, supply chain optimization, and financial modeling—all areas where early QC applications are gaining traction. Already today, some organizations claim that QC outperforms classical computing by a wide margin (what’s known as “quantum supremacy”) and that the technology has matured to the point where companies are deriving incremental value from it.

QC has yet to hit the mainstream, however, because of two key challenges: Qubits are fragile and prone to errors, and QC hardware is expensive to build and operate. These constraints mean that for most companies today, QC is best suited to a small number of high-value use cases, rather than as a replacement for classical computing. However, advances in software are quickly helping to address these limitations. Algorithms that mitigate and correct errors could soon enable even imperfect quantum computers to deliver high-impact results. This algorithmic leap means that raw quantum hardware could become less important, making large-scale QC use happen sooner than hardware road maps alone suggest.

CEOs don’t need to understand the intricacies of quantum computing to derive value from it. But they do need to know enough about the technology to understand where QC is headed and how it could affect their P&L. They also need to develop a clear view of the use cases that are relevant for their companies and partner with technology teams to map QC rollouts to measurable business results, such as cost savings or productivity gains.

Over the next ten years, it is expected that QC to evolve in two stages. In the first stage, limited use cases will develop in a hybrid approach with classical computing. During the second stage, so-called fault-tolerant quantum computers could unleash new scalable use cases that deliver significant value.

Three steps for QC success.  Many companies will want to ready themselves for the maturation of quantum computing, given its potential to create value. For forward-thinking companies, that preparation can begin now. The authors’ research shows that a strategic QC playbook balances prudence with risk-taking over three crucial steps.  Step one: Map exposure and opportunity.  Step two: Secure options on technology and talent.  And step three: Run targeted experiments during the readiness window.

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