I need one quick clarification to avoid guessing: do you mean "build a substantial account" as in (pick one)
Core insights:
The authors formalize three notions of fairness (demographic parity, equalized odds, and predictive parity) and prove that any non‑trivial classifier that satisfies two of them simultaneously must sacrifice some predictive power unless the underlying data distribution already satisfies certain symmetry properties. They also show that, under a “group‑wise calibrated” assumption, one can achieve a Pareto‑optimal frontier where small fairness gains come at negligible accuracy loss. The paper ends with a “design checklist” for practitioners: (1) Diagnose the data‑generation process, (2) Choose fairness metrics aligned with the decision context, (3) Run a sensitivity analysis on the accuracy–fairness curve. JUQ-158
| Endpoint | Findings | Remarks | |----------|----------|---------| | Acute toxicity (LD₅₀, mouse, i.p.) | 120 mg kg⁻¹ | Comparable to many synthetic stimulants; indicates a relatively narrow therapeutic index. | | Cardiovascular effects | Dose‑dependent tachycardia (↑ 30‑70 bpm) and mild hypertension (↑ 10‑20 mmHg) in rats. | Consistent with DAT inhibition. | | Neurobehavioral | At 10 mg kg⁻¹ (i.p.) mice displayed head‑twitch response (a proxy for 5‑HT₂A activation) and increased locomotor activity. | Suggests combined stimulant/psychedelic profile. | | Cytotoxicity (in vitro) | IC₅₀ ≈ 30 µM in HepG2 cells (MTT assay). | Modest cytotoxicity at concentrations far above expected plasma levels. | | Genotoxicity | Negative Ames test (TA98/TA100) and mouse micronucleus assay. | No evident mutagenic risk in standard screens. | | Dependence liability | No published self‑administration or conditioned place‑preference data. | The DAT component raises theoretical abuse potential; formal studies are pending. | I need one quick clarification to avoid guessing:
The "JUQ" label is part of the broader ecosystem of Japanese media production, which is known for its high production values, professional lighting, and scripted scenarios. Unlike amateur content, releases like JUQ-158 are handled by professional crews who manage everything from set design to post-production editing. Consumption and Popularity | Consistent with DAT inhibition
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).
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: