Peace Advocate
5.8K posts
I built CourtWatch.us — a free public database for American citizens who deserve safer communities. You can track which judges released defendants who then got rearrested, skipped court, or violated their release conditions. All public records. All free. I started with Orange County FL and will be expanding to all 67 Florida counties and eventually every state in the country. This first batch of info is from 2024 and since public reports are released in March/April for the previous year, data is behind. But I wanted to see if this is plausible. After adding 2024,I'll add 2025 and then figure out how to get real-time-data uploaded. It's in beta — would love to know what you think 👇 Numbers don't lie, but criminals do. courtwatch.us @bennyjohnson @jockowillink @GrantCardone @LauraLoomer @nickshirleyy @j_fishback
BREAKING 🚨: Scientists report that this tiny jellyfish can revert its cells to an earlier life stage when it faces stress, injury, or old age, essentially returning to youth. The discovery may lead to new ways to repair human cells and slow the aging process.
Quantum computers are extremely noisy. Every operation introduces errors, and without real-time error correction, those errors quickly corrupt any useful computation. The classical component responsible for interpreting error syndromes and deciding how to correct them is called a decoder. For years, engineers have relied on scaling formulas and simulations (often based on sub-optimal decoders) to estimate how many physical qubits are needed for reliable logical qubits. These estimates have guided nearly every quantum hardware roadmap. A new AI-based decoder called Cascade, developed by researchers in Mikhail Lukin's group at Harvard (Lukin is a co-founder of @QueraComputing ), changes this picture. Cascade is a convolutional neural network that exploits the geometric structure of quantum error-correcting codes. It is precise enough to reveal a "waterfall" regime: below certain physical noise thresholds, logical errors are suppressed far more aggressively than standard formulas or earlier decoders predict. In this regime, error rates drop steeply because higher-weight failure modes dominate, allowing better suppression than the usual distance-based scaling suggests. On a standard test code (the [[144,12,12]] Gross bivariate bicycle code) at 0.1% physical error rate, Cascade achieves logical error rates approximately 17× lower than the previous leading decoder (Relay) and roughly 4,000× lower than BP+OSD. It also delivers 3–5 orders of magnitude higher decoding throughput, with practical latencies suitable for several hardware platforms.For surface codes, the improved performance translates to concrete resource savings: to reach a logical error rate of ~10^{-9} at 0.1% physical error, Cascade enables the use of distance-15 codes instead of distance-19 codes required by minimum-weight perfect matching. That corresponds to roughly 40% fewer physical qubits for the same reliability target. Because every realistic roadmap for fault-tolerant quantum computing is tied to the number of physical qubits (and the associated overhead), reductions like this can meaningfully compress the resources and timelines needed for practical, large-scale quantum algorithms. The paper demonstrates that better decoders can unlock significantly more performance from existing quantum error-correcting codes than previously assumed, making fault tolerance more attainable in the near-to-medium term. This is still early research, real hardware must maintain consistently low physical error rates, and scaling neural decoders to very large codes brings additional engineering challenges, but it represents a promising advance in closing the gap between theoretical QEC and practical fault-tolerant quantum computation. arxiv.org/abs/2604.08358
Recent biophysical research identifies microtubules as "fractal time crystals." These structures exhibit perpetual motion through self-similar spatio-temporal patterns without continuous energy input. Within the cytoskeleton, tubulin dimers facilitate quantum superposition. This enables Fröhlich Bose-Einstein condensates—coherent dipole oscillations that serve as the foundation for the time crystal state. Advanced modeling via density functional theory (DFT) reveals that these vibrations scale from nanoseconds to microseconds. The resulting fractal geometry allows for high-precision resonance across biological scales. Data indicates these modes align with 10-100 Hz neural gamma oscillations. This frequency range is critical for the maintenance of human consciousness and integrated cognitive processing. Critically, general anesthetics disrupt these specific quantum states. By abolishing coherence within the microtubule lattice, awareness is suspended. This suggests consciousness emerges from non-local correlations rather than classical neural computation. researchgate.net/publication/40…
