Explore how quantum computers can one day help energy companies with solving thorny optimization problems, forecasting demand, analyzing complex material science questions, and more.
Quantum computers and the algorithms that drive them are improving to the point where organizations are taking notice. While quantum computers still do not outperform classical solutions for most problems, forward-looking organizations are starting to explore quantum solutions.
What if a quantum computer could help you build more resilient grid, forecast demand, help with energy exploration, or assist with material discovery? What if you competitor mastered how to leverage quantum computers into a competitive advantage?
Contact us and we can help you determine if the current state of the art is good enough to help your business.
Demand forecasting
Advanced demand forecasting algorithms could at some point analyze consumption data and identify subtle usage patterns, thus enabling energy providers to optimize supply strategies and enhance grid reliability. While quantum computers are often unable to solve large-scale problems today, preparing for the future in which they will is time well spent.
Energy harvesting
Once computers are sufficiently powerful, quantum algorithms will be able to analyze geological data to identify potential oil reserves more accurately, enhancing exploration efficiency and energy harvesting efforts.
Our unique quantum computers - such as the 256-qubit Aquila machine - can solve some problems that other quantum computers struggle with. And our upcoming error-corrected devices offer a glimpse into the future of computing.
Our experts have worked on many problems and are versed in the latest algorithmic developments. They don't shy away from combining quantum and classical resources to create innovative solutions. Let us tell you about some of the problems we solved, and help determine if the problem you face is applicable to the current state of quantum computers.
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