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Practical Optimization

Quantum computing architectures are constantly being improved and with that comes an inherent low-level obsolescence for most programs. It’s not too practical to build circuits for specific devices that change constantly. The hub works with javascript and implements mid-level code from compatible frameworks made by different organizations. Still, most of it will have to be cleared and replaced with each modification due to the primitive state of the quantum computing compilers available. Even mid-level code calls very architecture-specific functions, making the job considerably more difficult to be long-lasting. Because of this, we won’t worry about machine code at the moment and focus on high-level development as it becomes implemented. Other tools and artificial intelligence applications are open for everyone, the access links are soon being added to the sidebar.

Process Delegation: Classical Computer Separation Before “Multi-Core” Quantum Computing

Essentially, we need to build or optimize a browser extension to separate all the similar processing algorithms independently (Javascript or Python, we need more programmers!) for then sending them to systems like Microsoft’s Azure Quantum and IBM’s Quantum Experience at the same time. The output console information is then collected by the extension and sent through this server’s port. Achieving this first step is fundamental for our initial DCO to work on a web browser (without needing a command line), multiple cores of simultaneous predicting processes on real quantum computing hardware from different entities. Qiskit-js appears to be the best starting point at the moment for browser compatibility. The continuation of the process will be completely classically computed at this time.