I think that is the same situation that happened with AWS for machine learning, where you have to set up a complex environment and sometimes you give up, needing something that is ready to go and plug and play. That is the main barrier for using D-Wave Leap in my case. D-Wave Leap can be improved in setup and usability. I did the courses available on your website, and for a scientist, especially in life science, we need to understand what the tool does and how it works since we do not appreciate black boxes. Maybe that could be improved, as you have done a good job explaining your tool, but it could be more specific and less in development. Regarding improvements around documentation, support, or other aspects of D-Wave Leap, maybe it is understanding that quantum computing for the general population is still far from being a reality. Understanding what you are trying to do is crucial, so it is about perfecting the documentation and clarifying the future outcomes. The accuracy and reliability of outputs from D-Wave Leap have me feeling uncertain. While I understand the core, I have doubts in some cases about the calculations and the science behind them, which is why I gave it a seven, wanting a deep knowledge of what is in the core and engine of the tool. Those are the main drawbacks for D-Wave Leap.
The only problem that I encountered with D-Wave Leap is that you must send a whole task in one object. I understand that this was not the first priority for them, and I hope one day they will change this or provide documentation about the maximum object size, because my personal problem was that my QUBO task was about 500 gigabytes, and it is impossible to make 500 gigabytes as one object for computers since it is a QUBO task. However, it should be easy to divide a QUBO task into multiple objects. Apart from the object and task constraints that I mentioned, I really enjoyed using D-Wave Leap and quantum computers. This was the only issue I could identify because my task was very large. The course I received was not very informative because it covered basic computing concepts that one can learn in an hour through online resources.
I do not have enough experience to suggest improvements for D-Wave Leap since I only use about ten to twenty percent of the system. However, it would be beneficial if D-Wave Leap could support or provide functions similar to low-level quantum gate calculations, such as those available in IBM systems.Regarding D-Wave Leap's AI governance and security, I think the security is good, but it is very difficult to select the right key since I keep renewing it and have many keys in the system. I am unsure which one to use.
D-Wave Leap provides cloud-based access to quantum computing resources, enabling businesses to solve complex problems faster. This service leverages quantum technology for practical applications, addressing computational challenges that traditional methods struggle to solve efficiently.D-Wave Leap is tailored for companies seeking quantum computing advantages in diverse sectors. Users gain access to a quantum cloud platform designed to optimize processes like optimization, machine learning,...
I think that is the same situation that happened with AWS for machine learning, where you have to set up a complex environment and sometimes you give up, needing something that is ready to go and plug and play. That is the main barrier for using D-Wave Leap in my case. D-Wave Leap can be improved in setup and usability. I did the courses available on your website, and for a scientist, especially in life science, we need to understand what the tool does and how it works since we do not appreciate black boxes. Maybe that could be improved, as you have done a good job explaining your tool, but it could be more specific and less in development. Regarding improvements around documentation, support, or other aspects of D-Wave Leap, maybe it is understanding that quantum computing for the general population is still far from being a reality. Understanding what you are trying to do is crucial, so it is about perfecting the documentation and clarifying the future outcomes. The accuracy and reliability of outputs from D-Wave Leap have me feeling uncertain. While I understand the core, I have doubts in some cases about the calculations and the science behind them, which is why I gave it a seven, wanting a deep knowledge of what is in the core and engine of the tool. Those are the main drawbacks for D-Wave Leap.
The only problem that I encountered with D-Wave Leap is that you must send a whole task in one object. I understand that this was not the first priority for them, and I hope one day they will change this or provide documentation about the maximum object size, because my personal problem was that my QUBO task was about 500 gigabytes, and it is impossible to make 500 gigabytes as one object for computers since it is a QUBO task. However, it should be easy to divide a QUBO task into multiple objects. Apart from the object and task constraints that I mentioned, I really enjoyed using D-Wave Leap and quantum computers. This was the only issue I could identify because my task was very large. The course I received was not very informative because it covered basic computing concepts that one can learn in an hour through online resources.
I do not have enough experience to suggest improvements for D-Wave Leap since I only use about ten to twenty percent of the system. However, it would be beneficial if D-Wave Leap could support or provide functions similar to low-level quantum gate calculations, such as those available in IBM systems.Regarding D-Wave Leap's AI governance and security, I think the security is good, but it is very difficult to select the right key since I keep renewing it and have many keys in the system. I am unsure which one to use.