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Around the world, scientists are racing to better understand the complicated chemical or molecular processes that could help remove climate warming gases from the atmosphere, create better batteries or sustainable sources of energy, produce more food on a single acre of land or help remove pollutants to create clean water.
Every decision and every investment in Azure Quantum has been focused on one long-term goal: developing a quantum machine and supporting an ecosystem that allows Azure customers to solve real-world, enterprise-scale problems with the technology.
For example, a million-qubit quantum computer should be able to accurately simulate complex molecules in pursuit of new chemical catalysts that a classical computer even the size of the entire solar system would not be able to model, Microsoft experts say.
But they also knew that deciding to invest in this challenging topological approach was a little like choosing to climb a mountain straight up from the trailhead to ultimately be rewarded with an easier walk along the ridgeline, rather than taking the easier path of staying in the valley only later to reach a cliff that blocks upward progress.
But these same simulation, design and fabrication capabilities will continue to benefit the Azure Quantum team as they tackle next steps: figuring out how to make a topological gap more robust and stable, entangling Majorana building blocks to make a qubit, processing information with qubits that can perform meaningful computation and connecting qubits that must operate at temperatures colder than outer space into a scalable machine.
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