Why Might Businesses Be Interested in Using Quantum Computers?

Published: 20 Jun 2025

Emerging as a revolutionary technology that transcends the limits of classical computing, quantum computing is solving problems that are simply too hard (or too big) for classical computers to handle.

Businesses-Interested-in-quantum-computing

Across several industries, from finance to pharmaceuticals and everything in between, businesses are using or planning to use quantum computing to optimize networks, supply chains, and logistics; sort large datasets; and perform computationally intensive calculations that drive simulations and models.

Table of Content

What Are Quantum Computers?
What Makes Quantum Computing Attractive for Business
1. Solving Genuinely Hard Problems Significantly Faster
Challenges Businesses Face in Quantum Adoption
Conclusion

But why might businesses be interested in using quantum computers?

What Are Quantum Computers?

Quantum computers are different from classical computers in the way they process information. Rather than using conventional bits (0s and 1s), quantum computers use qubits, which can exist in many states at once because of a property known as superposition. And quantum entanglement connects qubits to one another, allowing them to solve problems much, much faster than any kind of connected or super-fast classical computer.

What Makes Quantum Computing Attractive for Business

Solving Genuinely Hard Problems Significantly Faster

There are computational problems that even the fastest classical supercomputers in the world have trouble solving. Logistical optimization problems pinpointing the most efficient way to route millions of delivery trucks across the globe are among them. This is a problem that is so hard that even the best classical supercomputers become bogged down and take way too long to come up with a solution. You can Google these three monstrous optimization problems for instance:

Problem 1: The Traveling Salesman Problem
Problem 2: The Chinese Postman Problem
Problem 3: The Vehicle Routing Problem

The best quantum computing algorithms developed so far (e.g., Grover’s algorithm) can solve these three problems roughly four times faster than the best classical algorithms can. The ease of performing optimization on a working quantum computer compared to a classical one is no small part of the reason why some folks are starting to think of optimization as a potential killer app for quantum computing.

Challenges Businesses Face in Quantum Adoption

While quantum computing holds truly outstanding potential, it presents a set of serious obstacles that businesses must overcome if they are to realize that potential. Here is a look at the chief among them:

Cost and Accessibility: Quantum computers are feasible only by the richest of businesses, for example, the amounts that IBM and Google have poured into their 10 years’ worth of product development and specialized infrastructure.
Technical Expertise: Quantum computing is an entirely new field; even the cowboys (and cowgirls) of this area don’t yet have a full understanding, because it’s a work in progress. Businesses must hire them (and yoke them) to work within their walls if they are to develop anything using this astonishing power.
Integration with Existing Systems: The majority of businesses can only afford to work at the pace of classical computing. For those businesses to labor at the same pace, they must invent means by which all that power can be harnessed to work for them.
Cybersecurity Risks: The classical algorithms used to encrypt data for storage or transmission are already starting to fail under the pressure of the QPUs (quantum processing units). Even if a business could somehow securely transmit the classical algorithms it uses for encryption across its enterprise, how long before evildoers found ways to break those encryption methods?

Conclusion

Quantum computing stands on the brink of an industrial transformation. It posits solutions to some of the most intricate problems that classical computing grapples with and offers potentially tremendous benefits in optimization, data processing, and security.

Amid all the excitement, businesses need to remember this: Solving real-world problems on a massive scale with quantum prowess is still a few years off, at least a couple, some would say as many as five, but perhaps even more optimistically, 10. So, for now, what should your business do? It should invest, quite strategically when possible, in low-risk, high-reward situations. Those investments won’t pay off immediately, if at all. But analytics can help enterprises figure out which to make. And which ones not to make?