The team achieved the preparation of entangled Greenberger-Horne-Zeilinger (GHZ) states with up to 6 qubits, quantum phase estimation for a chemistry problem, and the Quantum Approximate Optimization Algorithm (QAOA) for the MaxCut graph problem. An architecture was used in which individual atoms are addressed with tightly focused optical beams scanned across a two-dimensional array of qubits. The team is the first in the world to demonstrate quantum algorithms on a programmable gate model cold atom quantum computer. Cold atom hyperfine qubits provide inherent scalability due to their identical characteristics, long coherence times, and ability to be trapped in dense multi-dimensional arrays. Gate model quantum computers promise to solve currently difficult computational problems if they can be operated at scale with long coherence times and high fidelity logic. A paper on the research was published today in Nature, the world’s leading multidisciplinary science journal. The milestone was conducted at the University of Wisconsin–Madison in the research group led by Prof. ColdQuanta, Riverlane and University of Wisconsin–Madison Achieve Multi-Qubit Entanglement and Algorithms on a Programmable Neutral Atom Quantum ComputerīOULDER, Colo., Ap/PRNewswire/ - ColdQuanta, Riverlane and the University of Wisconsin–Madison, today announced they have successfully run a quantum algorithm on a cold atom qubit array system, codenamed “AQuA,” an industry first that brings quantum computing one step closer to real world applications.
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