They said that while AI is delivering impressive results, there are still significant challenges that AI alone is struggling to overcome, such as complex optimization problems, deciphering causal relationship analysis and conducting high-precision simulations based on fundamental equations.- Initial Investment and Operational Costs: The substantial initial investment and operational costs required for the development and deployment of quantum computers lack concrete cost recovery strategies, which in turn suppresses the drive for companies to develop and adopt the technology.
- Clarification of Revenue Models: The business models for generating revenue, including the methods of offering quantum computers and setting usage fees, have not yet been fully realized.
- Discovering Use Cases: There is a shortage of use cases that clearly demonstrate which fields quantum computers will be useful in. Understanding the market size and revenue models through clear examples, especially in areas such as quantum chemical calculations and machine learning, is necessary.
- Understanding the Market and Revenue Predictions: It is crucial to specifically identify the areas where computations can only be performed by quantum computers and are commercially viable, as well as to predict the timing and scale of these applications.
- Limitations and Challenges of Hardware: The current hardware performance (number of qubits and operation precision) of quantum computers is inadequate for handling practical problems, and significant enhancements in performance are needed for practical use.
- Software Development and Error Mitigation: The development of hybrid algorithms that combine traditional methods, as well as advancements in error suppression, mitigation, and correction technologies, are essential to enable practical computations. Furthermore, developing technologies that mutually complement hardware and software are also indispensable.
- Timing for Service Provision: Making decisions based on a deep understanding of technology to provide services at the optimal timing requires assessing the speed of technological advancements and market needs.




