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APS

Optical Qubit Entanglement: Exploring the Limits

Paul G. Kwiat

Published May 1, 2004• 0 citations
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Arrays of alkaline-earth atoms offer optical-clock qubits with long coherence times, scalability to large qubit numbers, and tunable Rydberg-mediated interactions. These features provide an ideal setting for exploring how microscopic control and entanglement can improve the performance of optical atomic clocks beyond conventional limits. This talk will cover two efforts in this area: recent results from JILA demonstrating entanglement-enhanced optical-clock operation, and a brief introduction to a new effort at Caltech towards next-generation quantum metrology with neutral-atom arrays.
This paper introduces a novel Bayesian framework for constraint optimization that utilizes dynamically entangled quantum systems to enhance exploration of solution space. Classical optimization techniques often struggle with high-dimensional problems due to their reliance on deterministic search and limited representation of complex solutions. We propose a quantum-inspired Bayesian approach, employing entangled qubits to iteratively refine a constraint set, enabling parallel exploration and capturing subtle correlations within the search space. This approach surpasses the limitations of classical optimization by offering a fundamentally new method for tackling complex, high-dimensional problems. The paper details the framework's architecture, explores its potential benefits, and presents preliminary results demonstrating its superior performance compared to existing methods.