Key Takeaways from Qubits 2024 Conference
New non-linear solver to tackle real-world problems of growing complexity.
Many are looking to leverage Generative AI with Quantum Processing.
Workforce scheduling was often pointed to as a key quantum optimization application.
Many are focusing on finding ways to bridge the gap between quantum opportunities and customers.
Our Findings
An interface that allows customers with optimization problems such as workforce scheduling, resource alocation, and routing is needed to overcome learning curve challenges in quantum processing.
Large corporations are currently targeted as early adoptors, but we feel that SMBs are key early users as their need for optimization via quantum processing is widespread.
The D-Wave community all agree that a hybrid approach is the only way to leverage quantum processing. Agent-based programming provides a natural avenue for functionally breaking down problems into simpler multiple sub-problems instead of only along classical/quantum lines.
Manufacturing AI Automation will greatly benefit from quantum processing by providing real-time optimizations on a manufacturing floor.
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