Juq-158

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Project/Item: JUQ-158
Status: Active (assumed)
Primary objective: Deliver a concise technical and administrative summary for JUQ-158 suitable for inclusion in program reports or a project tracker. JUQ-158

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Title: Quantum Supremacy Using a Programmable Superconducting Processor
Authors: John M. Martinis, et al. (Google AI Quantum, et al.)
Journal / Pre‑print: Nature 574, 505–510 (2019) – Open‑access version on arXiv: https://arxiv.org/abs/1910.11333
Why it’s interesting: Key take‑aways (≈ 300 words): The authors built

Key take‑aways (≈ 300 words):
The authors built a 53‑qubit superconducting chip (Sycamore) and ran random quantum circuits of depth 20. By sampling the output distribution and comparing it to a high‑performance classical simulation (IBM’s Summit, Alibaba’s Tianhe‑2, etc.), they estimated that the quantum device completed the task in ~200 seconds whereas the best classical estimate would require ~10,000 years. The paper also details error‑characterization techniques (cross‑entropy benchmarking) and discusses the practical bottlenecks (qubit coherence, two‑qubit gate fidelity). The work sparked a lively debate about the definition of “supremacy” and has motivated many follow‑up experiments (e.g., IBM’s 127‑qubit roadmap, error‑corrected logical qubits, and alternative sampling problems such as boson sampling).