Practically, that means that certain computations that can never be done on even the highest performing supercomputer will one day be computed on a quantum computer. One example is the best path of robots in a distribution centre to improve speed of selecting items and packing orders (the best answer even supercomputers can’t find!).
Those computations are processed through algorithms designed and developed specifically for quantum computers. These algorithms are similar to classical algorithms from computer science, but also leverage a combination of physics and mathematics expertise. Within quantum’s ecosystem are a number of quantum-algorithm experts, who specialize in “converting” real world problems into quantum-standard algorithms. Honeywell Ventures has invested and partnered with two of the companies that do that, Zapata Computing and Cambridge Quantum Computing.
When Honeywell set out to build a quantum computer, the company prioritized creating the highest quality qubits, focusing on eliminating the errors present within the system on smaller numbers of qubits and then working to scale up the number of qubits. By having achieved such low errors on our quantum operations, each new qubit added to the machine expands the quantum volume.
Thanks to a partnership with Microsoft’s Azure Quantum, the company wants to offer organizations access to its quantum computer both directly through a unique interface as well as through the Azure Quantum portal.
“The promise of quantum computing, ultimately, is that instead of getting close, you get exact,” Tony said. “You’re able to look at all of those different interactions at exactly the same time to get to an optimal solution.”
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