尽管实验依托量子硬件完成，但受限于当前设备的噪声与误差，研究仍需结合传统计算方法进行校验。 IBM科学家杰米·加西亚表示，这场"经典"与"量子"之间的对话，正是通向未来新材料设计的重要一步。 他强调，这项模型之复杂，已超出传统计算机无近似求解的能力；而量子计算机虽具潜力，却尚不完 美。正因如此，两种方法的互补协作，有望推动对量子世界更深层的理解。 中国科学院大学博士生导师黄飙表示，二维系统的数值模拟极其困难，拥有百量级量子比特的大规模量 子模拟，将成为未来研究的锚点。这一突破不仅是量子物质探索的重大进展，更有望桥接量子计算与量 子传感中的奇异态，开启跨领域应用的新可能。 西班牙多诺斯蒂亚国际物理中心科学家利用超导量子计算机，成功构建出迄今最复杂的时间晶体，为新 材料设计提供了新途径。相关成果发表于新一期《自然·通讯》杂志。 所谓时间晶体，是一种在时间维度上周期性重复的特殊量子态，正如普通晶体中的原子在空间中有序排 列，时间晶体则在时间中"自我循环"，仿佛永不停歇的钟摆。这一看似违背直觉的现象曾引发对物理定 律的质疑，但近十年来，科学家已在实验中多次实现时间晶体。借助IBM的超导量子处理器，研究团队 此次创造出 ...

Core Thesis - Rigetti Computing, Inc. (RGTI) is facing significant near-term downside due to forced selling pressure from multiple ETF rebalances occurring on December 19th, which includes a $30 million liquidation of RGTI shares from the Defiance Quantum ETF (QTUM) [2][4] Company Fundamentals - RGTI has a market capitalization of $10 billion but generated less than $2 million in revenue last quarter while burning through $43.6 million in cash over nine months, primarily funded through retail share sales [4] - The company has not seen any insider purchases since June 2022, with recent insider sales occurring as recently as December 10th, and the CEO holding no shares, indicating a lack of confidence in the company's future [3][4] Market Dynamics - The convergence of ETF-driven selling, ongoing insider exits, and weak operational performance creates a high-risk environment for existing shareholders, suggesting a potential sharp market correction for RGTI [4][5] - The stock has experienced a run-up over the quarter despite negative earnings and an unreasonably high price relative to its fundamentals, making it particularly vulnerable to the upcoming selling pressure [3][4]

Core Insights - A recent study published in *Nature* reports advancements in detecting quantum dynamics through a "time-reversal" scheme by Google's Quantum AI team and collaborators [1] - The long-term goal of quantum computing is to create machines that achieve quantum advantage, surpassing classical computers in specific practical tasks [1] Group 1: Quantum Computing Advancements - The research addresses challenges in quantum computing, particularly the need to reduce noise and overcome defects to achieve quantum advantage [1] - A significant issue is the detection of quantum dynamics in systems with many components, which can be unpredictable and difficult to track [1] Group 2: Time-Reversal Scheme - The team utilized the "time-reversal" method in a superconducting quantum processor to measure out-of-time-order correlators (OTOC), which are essential for characterizing chaotic behavior in quantum systems [1] - The experiment demonstrated sensitivity to genuine quantum effects over sufficiently long time scales, allowing for substantial sampling of the processor during the propagation and reversal dynamics [1] Group 3: Implications for Future Research - Measuring OTOC can reveal microscopic properties of quantum systems that classical computing cannot access, enhancing the potential for robust demonstrations of quantum advantage in the future [2] - The circuits used in the demonstration are simplified models, but the findings suggest applicability to real physical systems [2]