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This study reveals a counterintuitive mechanism in noisy quantum processors where local measurements unexpectedly generate long-range entanglement, complicating classical simulation efforts for near-term devices. The findings clarify that even simple, constant-depth 2D circuits can become computationally hard to sample from due to this measurement-induced dynamic, challenging previous assumptions about noise thresholds required for efficient classical approximation. Understanding these specific degradation pathways is essential for accurately benchmarking the quantum advantage of current hardware architectures.
New study probes entanglement in noisy quantum processors

A new study probes how entanglement degrades in real-world quantum processors—where noisy conditions impact circuit depth.
Researchers are discovering a counterintuitive relationship between local measurements and long-range entanglement in quantum processors. The study reveals that sampling from even simple, constant-depth 2D circuits can be computationally difficult, despite being relatively easy to create. This difficulty arises because local measurements can unexpectedly convert short-range entanglement into long-range entanglement, a phenomenon linked to the efficiency of algorithms used to simulate these circuits. Understanding this dynamic is crucial for determining if noisy 2D random-circuit sampling can be efficiently simulated, as the measurement-induced entanglement serves as an indicator of the algorithm. Constant-depth 2D circuits, despite being relatively simple to create, present a surprising challenge to classical computation; researchers…
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