You can google any number of confusing definitions of quantum computing. Simply put, quantum computers are machines that leverage the attributes of quantum physics to store data and perform computations. Clear as mud.
The best way to understand the value of quantum computing—or lack thereof—is to understand the use case. Quantum computing can be advantageous for certain tasks where it can vastly outperform even supercomputers. It is typically associated with the following use cases: cybersecurity, pharmaceutical development, financial modeling, improving batteries, cleaner fertilizer, traffic optimization, weather forecasting, climate change, artificial intelligence, solar capture, and electronic materials discovery.
Traditional computing can also solve these problems, certainly high-performance computing/supercomputers. So where does quantum computing enter the picture?
Most of the vendors in the public cloud market have a quantum offering. In 2016, IBM stood up a quantum computer on its cloud. Since then, IBM has expanded its cloud-based quantum computing offering.
Never to be outdone, Amazon has developed and launched its own quantum computing services, and Microsoft announced Azure Quantum, which provides quantum algorithms, hardware, and software. Of course, Google is a quantum player as well.
Should you try it? That decision is really about matching use cases with quantum computing effectively. I suspect that quantum computing is not a good fit for accounting or inventory systems where the processing is more fine-grained and transactional. However, it’s sometimes a good option if you’re looking to take that accounting or inventory data and build complex financial models that are capable of predicting the future.
Most of those use cases for high-performance computing may be better served by quantum computing, but not all of them. The trade-off is the cost compared to traditional computing, even high-performance computing in the cloud. Unless there is a compelling reason to leverage quantum computing for specific, purpose-built situations where there is a clear advantage, it’s perhaps not worth the extra cost and risk.
Also, try finding quantum computing people who are willing to work outside of the universities. I’ve tried and failed the few times that I was involved in quantum projects.
Quantum computing in the cloud is like any new technology. It starts out as a niche solution, typically with more cost and risk. We’re here now. Second, it’s leveraged for a small percentage of applications and data solutions. Finally, it becomes just another public cloud service offering: one that may have a bit of a cost premium, but a fraction of what it was back in 2021.
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