The Quantum Computing Conundrum

As a CIO or senior application planner, you're likely wondering whether quantum computing is worth exploring for your enterprise.

TL;DR
• Quantum computing has potential, but its value is uncertain.
• Enterprises are divided on its use, and its cost is currently prohibitive.
• Quantum computing is not suitable for general business applications, but it may be useful for complex algorithms and math problems.

Summary
Enterprises are divided on the potential of quantum computing, with many considering it a future option but unsure when or how it will be adopted. The technology has potential but is still uncertain, and experts suggest it is not suitable for general business applications but rather for complex algorithms and math problems that are unsolvable with digital computers.

Quantum computing has several challenges, including the fragility of qubits, which require precise handling and environmental control. The cost of quantum computing is currently prohibitive for most applications, and experts recommend finding applications with massive benefits or using "quantum as a service" for occasional complex problems.

The future of quantum computing depends on the improvement of chips, with startups claiming significant advances, but hype may outrun reality for some time. Quantum computing and AI may be a winning combination, particularly in image and video analysis, where speed is more important than precision.

Key takeaways include:
• Quantum computing is not suitable for general business applications.
• The cost of quantum computing is currently prohibitive for most applications.
• The future of quantum computing depends on the improvement of chips.
• Quantum computing and AI may be a winning combination.

Overall, while quantum computing has potential, its value is uncertain, and it is worth watching but not yet ready for widespread adoption.

As we continue to explore the possibilities of quantum computing, we must also acknowledge its limitations and challenges. Will it revolutionize the way we approach complex problems, or will it remain a niche technology? Only time will tell.