Abstract: Quantum processors have the potential to significantly advance our understanding of quantum systems. In particular, the programmability of digital quantum devices can enable access to highly tunable quantum dynamics and observables. The central challenge, however, is suppressing errors, making quantum error correction essential for large-scale algorithms. In this talk, I will discuss quantum processing with reconfigurable atom arrays, with experiments featuring up to 448 neutral atom qubits, high two-qubit gate fidelities [1], arbitrary connectivity, and mid-circuit qubit readout and reuse. We first realize gate-based quantum simulations, experimentally studying Kitaev’s honeycomb model and exploring hardware-efficient fermion-to-qubit encodings [2]. Next, we leverage unique opportunities with atoms to study the key building blocks required for scalable quantum error correction [3,4]. These include below-threshold performance, deep computation at constant entropy, and universal logical gates. Together, these experiments highlight unique near-term opportunities with atom arrays and chart a path towards future large-scale atomic processors.
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