It's been a long grind over the years between the ups and downs with covid, formulating our DevOps strategies, and fine tuning our design/development process for high quality fulfillment. With all of the tools in place, the time is right to branch out and get to know our industry peers.
We're going to be sharing regular updates from Qubits 2023 as we learn from the in house experts and meet a ton of amazing people who want to see quantum computing ramp into its full potential.
From qubits.com, this event is summarized as:
Quantum for Business: Speakers from Mastercard, Recruit, Deloitte, and many other quantum pioneers will discuss and demonstrate their work applying quantum to complex business problems.
Getting Started with Quantum: Hear how businesses are moving from pilot to production, and how to staff, build, and train quantum teams.
Advancing the Science and Technology: Hear about advanced quantum research, D-Wave’s technology roadmap, and the latest work in benchmarking.
Compute resources refer to the amount of processing power and memory that a computer or network of computers has available to perform tasks. This can include things like the number and speed of CPU cores, the amount of RAM, and the amount of storage space. In simple terms, compute resources are the capabilities of a machine to perform computations and process data.
When we start a project, we're trying to work with humans to understand their needs, how their needs can be translated into source code, and create Minimum Viable Products (MVPs) to bring these initiatives online. Once done, that's where the work begins.
Since our applications, in the wild, are able to generate analytics - we can use these analytics to drive the future success of the software. Doing so is known as using feedback loops. A feedback loop in software analytics is a process where data is collected, analyzed, and used to make changes to the software. It is a cycle that helps to improve the performance and user experience of the software.
One of the most common metrics of success in software deployment is utilization. It's fairly straightforward: the better the design and purpose of the application, the more people will use it and its features. As the number of users of a software application increases, the demand for its compute resources also increases. This is because a growing user base means more data needs to be processed, more requests need to be handled, and more concurrent users need to be supported.
For many applications, and applications designed to be future friendly, we need to start looking into how quantum computing can solve our compute problems for memory and utilization intensive processes.
If you think about it, analytics provide the first step to understanding a software solution we have put forward. We need them to verify if our assumptions in building a system check out. After the analytics start to be generated, and both users and compute use grows, we need to be able to use those analytics in ways that continue to drive the success of our efforts.
As such, quantum computing is based on the principles of quantum mechanics, which allows it to perform certain types of computations much faster and more resource efficiently than classical computers.
As quantum computing provides the opportunities for complex computational problem solving, it holds a lot of promise for the traditional setbacks we experience in development:
We aim to leverage tools like artificial intelligence and quantum computing to back it, while holding true to rigorous standards of design and content fidelity.
Acorn is here to provide first rate software solutions with dedicated support for the complexities of getting the human, and technical side of digital initiatives done - to high degrees of excellence.
We are so excited to be here.
