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How Annealing Quantum Computing Addresses Complex Optimization Problems Now
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Presented by Mark Johnson (D-Wave)
Annealing quantum computing, distinct from other approaches to quantum computing, is uniquely suited to solving challenging optimization problems today. Cloud-based, commercial-grade and production-ready, annealing quantum computers are an important solution for developers looking to include increasingly powerful quantum methods into solutions for their enterprise challenges. Today’s annealing quantum computing, as shown by recent research published in Nature, can improve solution quality faster than classical computing for difficult optimization problems. This talk will showcase annealing quantum computing’s full stack set of solutions, its open-source and robust developer tools and SDKs, the power of quantum-hybrid, and the ease of getting started building applications today.
Annealing quantum computing, distinct from other approaches to quantum computing, is uniquely suited to solving challenging optimization problems today. Cloud-based, commercial-grade and production-ready, annealing quantum computers are an important solution for developers looking to include increasingly powerful quantum methods into solutions for their enterprise challenges. Today’s annealing quantum computing, as shown by recent research published in Nature, can improve solution quality faster than classical computing for difficult optimization problems. This talk will showcase annealing quantum computing’s full stack set of solutions, its open-source and robust developer tools and SDKs, the power of quantum-hybrid, and the ease of getting started building applications today.