Quantum Computing: Enterprise Reality Check

As of mid-2025, quantum computing is in the "noisy intermediate-scale quantum" (NISQ) era. That means the machines exist, they can perform certain calculations, and the error rates are too high for most practical applications.

IBM's 1,121-qubit Condor processor, Google's Willow chip, and Quantinuum's trapped-ion systems represent genuine engineering achievements. They are not enterprise-ready. The gap between "can perform a quantum calculation" and "can solve an enterprise problem faster and cheaper than a classical computer" remains significant.

That 5-10 year estimate has been remarkably stable for the past three years, which tells you something about the pace of progress. Quantum computing is advancing. The goalposts are also advancing. The problems we want quantum computers to solve keep getting more complex as classical computing and AI continue improving.

When quantum computers reach practical scale, the enterprise applications are genuine and significant:

Optimisation. Supply chain, logistics, portfolio management, scheduling. Problems where the number of possible solutions is astronomically large and the best classical algorithms can only approximate the optimal answer. Quantum algorithms can, in theory, find better solutions faster.

Simulation. Materials science, drug discovery, chemical engineering. Simulating molecular behaviour at the quantum level is, unsurprisingly, something quantum computers are well-suited for. This has real implications for pharmaceutical companies, materials manufacturers, and anyone working with complex chemistry.

Cryptography. This is the one that matters most for enterprise preparation. Quantum computers can break most current encryption standards. RSA, ECC, and the cryptographic foundations of internet security are all vulnerable to quantum attack. This is not theoretical. It is mathematically proven. The only question is when quantum computers reach the scale to do it.

Machine learning. Quantum-enhanced machine learning is the least mature of the major application areas. The theoretical advantages exist. The practical demonstrations remain limited. This may change, but it is the furthest from enterprise relevance.

The honest answer is: not much, for most applications. But there are two areas where preparation makes sense today.

This is the one area where enterprise action is warranted now. The reason is "harvest now, decrypt later." Adversaries can capture encrypted data today and decrypt it when quantum computers are powerful enough. For data that needs to remain confidential for 10+ years (government secrets, medical records, financial data, intellectual property), this is a real threat.

NIST published its post-quantum cryptographic standards in 2024. The standards exist. The migration path is clear. For organisations with long-duration confidentiality requirements, beginning the transition to quantum-resistant encryption is a reasonable investment now.

This does not require quantum expertise. It requires a cryptographic audit and a migration plan. Most enterprise encryption libraries will be updated to support post-quantum algorithms. The work is identifying where encryption is used, what standards are in place, and planning the transition.

For everything else, the appropriate action is informed watching. Track the major quantum milestones. Understand which of your enterprise problems are theoretically suited to quantum advantage. Build relationships with quantum researchers at universities (New Zealand has active quantum computing research at several institutions).

Do not buy quantum hardware. Do not hire a quantum team. Do not invest in quantum software development. The field is moving fast enough that investments made today will be obsolete by the time quantum computing reaches practical enterprise scale.

Quantum-inspired algorithms. These are classical algorithms that borrow concepts from quantum computing. Some are genuinely useful, but calling them "quantum" is marketing, not physics. Evaluate them as classical algorithms.

Quantum supremacy claims. When a quantum computer demonstrates "supremacy" or "advantage," it means it solved a specific problem faster than a classical computer. These problems are almost always artificially constructed to favour quantum computation. They do not translate directly to enterprise relevance.

Vendor quantum roadmaps. Every major cloud provider has a quantum roadmap. These roadmaps are optimistic by design. They represent aspirations, not commitments. Plan based on demonstrated capability, not roadmap promises.

Quantum AI hype. The intersection of quantum computing and AI is rich in theoretical possibility and poor in practical results. When you see "quantum AI" in a vendor pitch, apply maximum scepticism.

New Zealand has a small but credible quantum computing research community. The University of Otago, Victoria University of Wellington, and the University of Auckland all have active quantum research programmes. The NZ government has funded quantum technology research through the Ministry of Business, Innovation and Employment.

For NZ enterprises, the practical implication is: quantum computing is not something you need to source offshore. When the technology matures, local expertise will exist. In the meantime, the post-quantum cryptography migration is the one area where investment is warranted, and that can be done with existing security teams and consultants.

Quantum computing is real, it's coming, and it's not here yet. The right move for most enterprises is awareness, not action, with one exception: start planning your cryptographic migration now. The data you encrypt today needs to survive the quantum machines of 2035. Everything else can wait.