According to Charles Edwards (@caprioleio), IonQ Inc.'s latest research demonstrates that quantum computing is already breaking large language model (LLM) accuracy records by leveraging superposition and entanglement, challenging the notion that quantum computing is still decades away (source: Twitter, May 5, 2025). This development signals to traders that quantum technology is advancing faster than expected, potentially impacting AI-driven crypto trading strategies and related blockchain sectors as quantum hardware begins to outperform classical systems.

According to Chris Olah, recent advancements with SAEs have resolved the superposition issue in transformers, paving the way to reintegrate circuits effectively, a development that could have significant implications for trading strategies involving AI-based analysis.