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Quadratic Continuous Quantum Optimization Achieves Accurate Regression With Fewer Resources
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Quadratic Continuous Quantum Optimization Achieves Accurate Regression With Fewer Resources
Researchers have developed a new algorithm that bridges the gap between quantum computers’ strength in solving discrete problems and their weakness in handling continuous tasks, such as regression, by approximating solutions using a flexible system of continuous values within existing quantum hardware.
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