What Is Quantum Computing?

Quantum computing has been a topic of scientific research for decades, but in recent years it has moved closer to practical business conversations.

Governments, technology providers, universities, and research organizations are increasing investments in quantum technology, while major cloud providers are publishing roadmaps that point toward real-world applications later this decade. The U.S. Government Accountability Office (GAO) reported in March 2026 that the federal government spends approximately $200 million annually on quantum computing activities, reflecting the growing strategic importance of the technology at the highest levels.

At the same time, organizations are paying attention to quantum computing because of its potential impact on cybersecurity, scientific discovery, AI, advanced simulations, and complex optimization. While quantum computers are still evolving, they are no longer viewed as a purely theoretical technology.

So what is quantum computing, how does it work, and what could it mean for the future of technology? Let’s dive in.

What Is Quantum Computing and How Does It Work?

At its simplest, quantum computing is a new approach to processing information that uses the principles of quantum mechanics—the branch of physics that describes how particles behave at extremely small scales.

Traditional computers use bits, which can only represent a 0 or a 1.

Quantum computers use qubits, which behave differently. Rather than existing only as a 0 or a 1, qubits can represent information in more flexible ways that allow quantum computers to perform certain types of calculations differently than traditional systems.

This doesn’t mean quantum computers are faster at everything or that they will replace today’s computers. Instead, they are being developed to solve specific classes of problems that are difficult for even the most powerful classical computers to tackle efficiently. Quantum computing is expected to be particularly valuable for modeling physical systems and identifying complex patterns within information.

Four Quantum Concepts Explained Simply

Thankfully, you don’t need a physics degree to understand the basic ideas behind quantum computing.

Superposition: While a traditional bit can only be a 0 or a 1, a qubit can exist in a combination of states until it is measured. This gives quantum computers greater flexibility when processing information.
Entanglement: Qubits can become connected in ways that allow them to influence one another. This relationship helps quantum computers solve certain problems more efficiently.
Interference: Quantum computers use interference to strengthen the probability of finding useful answers while reducing less useful possibilities.
Decoherence: Qubits are extremely sensitive. Heat, vibration, and other environmental factors can disrupt their quantum state, creating errors that researchers continuously work to minimize.

Why Quantum Computers Need Extremely Cold Environments

One of the most unusual aspects of quantum computing is its operating environment.

Many quantum systems must operate at temperatures close to absolute zero—or −459.67°F. These extremely cold conditions help reduce environmental interference and keep qubits stable long enough to perform calculations. Maintaining that stability remains one of the biggest challenges facing quantum computing today.

Who Is Investing in Quantum Computing Right Now?

The growing attention around quantum computing is backed by significant investment from technology leaders, governments, research institutions, and cloud providers.

Some of the most notable organizations include:

IBM is pursuing a roadmap focused on achieving quantum advantage through combined quantum and high-performance computing systems, with longer-term goals centered on fault-tolerant quantum computing.
Microsoft is investing in both quantum research and quantum-safe security initiatives. In 2026, Microsoft accelerated its timeline for transitioning products and services to post-quantum cryptography.
Google Quantum AI announced a verifiable quantum advantage milestone in 2025 using its Willow quantum chip, reflecting continued progress in quantum hardware development.
Amazon Web Services (AWS) continues expanding its Amazon Braket platform and announced an expanded collaboration with QuEra in 2026 focused on bringing fault-tolerant quantum computing capabilities to cloud customers in coming years.
Governments worldwide continue investing in quantum research through programs—like the U.S.’s National Quantum Initiative—focused on maintaining leadership in quantum information science, computing, networking, and sensing technologies.

Taken together, these investments suggest that many organizations and nations believe quantum computing could become an important part of the future technology landscape.

Why Is Quantum Computing Accelerating Right Now?

Much of the current momentum around quantum computing comes from two major factors: cybersecurity and advanced research.

Preparing for Future Cybersecurity Challenges

One of the most discussed implications of quantum computing is its potential impact on encryption. Many modern cybersecurity systems rely on mathematical problems that are extremely difficult for today’s computers to solve. Researchers believe sufficiently advanced quantum computers may eventually challenge some of these encryption methods, which is why governments and technology providers are already preparing for a transition toward post-quantum cryptography. The National Institute of Standards and Technology (NIST) continues advancing post-quantum cryptography standards, while major technology companies are actively preparing for a quantum-safe future.

Supporting Scientific Discovery and AI

Quantum computing is also attracting interest because of its potential to tackle highly complex simulations.

Researchers are exploring how quantum systems could work alongside AI, cloud infrastructure, and high-performance computing environments to solve problems involving chemistry, materials science, logistics, and optimization. Some companies like IBM specifically emphasize the future integration of quantum and classical computing systems working together.

What Practical Problems Could Quantum Computers Help Solve?

While today’s quantum computers remain limited, many researchers believe they could eventually help solve problems that are difficult or impractical for classical computers.

Discovering New Medicines

Drug development often requires researchers to understand highly complex molecular interactions. Quantum computers may eventually help scientists model molecules more accurately, potentially accelerating pharmaceutical research and helping researchers identify promising compounds more efficiently.

Designing Better Batteries and Materials

Materials science is another area with significant potential. Researchers are exploring how quantum computers could support the development of new battery technologies, industrial materials, catalysts, and other innovations that depend on understanding atomic-level interactions.

Optimizing Complex Systems

Many businesses manage incredibly complicated systems involving millions of variables. Future quantum applications may help improve:

Supply chain planning
Delivery route optimization
Manufacturing scheduling
Transportation networks
Traffic management

Even small improvements in these areas could create meaningful efficiency gains.

Financial Modeling and Risk Analysis

Financial institutions are closely watching quantum computing for its potential to improve simulations and optimization. Possible future applications include:

Portfolio optimization
Risk modeling
Market simulations
Fraud detection analysis

While many of these use cases remain experimental, they represent areas where complex calculations could benefit from quantum approaches.

Advancing Climate and Scientific Research

Climate models, physics simulations, and advanced scientific research often involve enormous computational challenges.

According to IDC’s 2026 assessment of the quantum computing market, organizations are increasingly demonstrating early scientific and business value in areas such as chemistry simulation, materials modeling, logistics scheduling, portfolio analysis, and scientific computing workloads.

What Does the Next Decade Look Like for Quantum Computing?

The next decade is unlikely to bring a world where quantum computers replace laptops, smartphones, or enterprise systems. Instead, a more realistic future is one where quantum computers complement traditional computing.

Organizations will likely continue to use classical systems for everyday business operations while leveraging quantum computing for highly specialized problems involving simulation, optimization, research, and advanced analytics.

Cybersecurity may be an area where many organizations feel quantum’s impact first. Long before businesses regularly run workloads on a quantum computer, many will already be updating their cryptography and security practices in preparation for future quantum capabilities.

At the same time, researchers, cloud providers, and technology companies will continue exploring where quantum computing could deliver measurable value. Progress will likely be gradual and focused on specific applications before broader commercial adoption becomes possible.

Planning for the Next Wave of Computing Innovation

Quantum computing is still evolving, but the technology surrounding it—AI, cybersecurity, cloud, and data infrastructure—are already shaping how organizations innovate and compete. Business leaders don’t need a quantum strategy tomorrow, but they do need the right foundation to adapt as technology continues to evolve.

At Insight Global, we help organizations navigate technology transformation through talent, consulting, and AI solutions that turn emerging opportunities into practical business outcomes. Whether you’re evaluating emerging technologies or building the capabilities needed to support future innovation, Insight Global can help. Connect with our experts to explore how your organization can prepare for what’s next.