Quantum-Inspired AI Finds Cancer Signals in Small, Noisy Data Sets

The post-quantum EO is an important milestone. Now it’s time to get to work

Sắc lệnh hành pháp 14409 của Mỹ yêu cầu các cơ quan liên bang và nhà thầu phải chuyển sang mã hóa hậu lượng tử (PQC) vào năm 2030 và xác thực hậu lượng tử vào năm 2031, nhằm ngăn chặn các cuộc tấn công "thu thập giờ đây giải mã sau". Cloudflare khuyến nghị cần làm rõ tiêu chuẩn "chuyển đổi", ưu tiên khả năng thích ứng mật mã (crypto agility) và thúc đẩy sự thống nhất toàn cầu về thuật toán NIST để tránh phân mảnh.

Lập trình viên nên đọc bài này để hiểu cách chuyển đổi sang các giải pháp mã hóa chống lượng tử (post-quantum) không chỉ là một yêu cầu pháp lý mà là một chiến lược bảo mật cấp hệ thống, giúp bảo vệ ứng dụng của bạn trước các mối đe dọa tương lai từ máy tính lượng tử trong thời gian ngắn nhất.

Optimal control for Rydberg multi-qubit operations

Researchers use quantum optimal control techniques to design single continuous laser pulses that implement multi-qubit controlled-phase and controlled-SWAP (Fredkin) gates on Rydberg atom quantum processors. The approach reduces operation time and decoherence while providing continuous protection from environmental noise. The Fredkin gate achieves 99.88% fidelity even when accounting for real-world imperfections such as spontaneous emission, laser fluctuations, and Doppler dephasing.

The Conversation: A New Quantum Computer Sets a High Watermark For Accuracy – Are We on The Verge of a Big Breakthrough?

Quantinuum has launched Helios, a 98-qubit trapped-ion quantum computer published in Nature, notable for its high accuracy rather than just qubit count. Single-qubit gate error rates average 2.5 in 100,000, while two-qubit gate errors average 7.9 in 10,000 — competitive with the best demonstrated results. Helios uses a quantum charge-coupled device (QCCD) architecture with all-to-all qubit connectivity, allowing any qubit to interact with any other without routing through intermediate steps. The machine separates storage, movement, and computation zones, and includes real-time software for routing and control decisions. While Helios can run random quantum circuits beyond easy classical simulation, this benchmark does not yet equate to solving real-world problems — but the combination of scale, accuracy, connectivity, and programmability marks a meaningful step forward.

Economist Columnists Say U.S. Quantum Investments Show Promise — But Need Clearer Rules

An Economist opinion piece by Joshua Zoffer and Chris Miller argues quantum computing is one of the strongest cases for U.S. industrial policy due to its national-security implications and immature supply chain. The Trump administration's $2 billion investment across nine quantum companies — spanning multiple hardware architectures — is praised as a smart diversified bet. The authors warn, however, that broader federal equity investments across tech sectors need clearer guiding principles, suggesting warrants over direct equity stakes and emphasizing that intervention should be reserved for areas with genuine national-security needs that markets won't address alone.

AQSolotl and QuantrolOx Partner to Automate Quantum System Calibration

AQSolotl and QuantrolOx have announced a strategic partnership to integrate AQSolotl's Chronos-Q quantum control hardware with QuantrolOx's Quantum EDGE machine learning-based automation platform. The goal is to automate qubit calibration, reduce manual tuning cycles, and improve qubit stability as quantum systems scale toward commercial deployment. The collaboration will proceed in two phases: near-term technical integration and performance benchmarking, followed by deeper hardware-software co-design and joint commercial offerings for research and enterprise customers.

Hexora v0.3: New features and improvements

Hexora v0.3 is a Python library for detecting malicious PyPI packages using static analysis. The new release adds a gradient boosting machine learning model that analyzes code structure, semantic features, and static analysis results to assess entire Python files. The ML model's primary role is filtering false positives — previously yielding 5-10 false positives per real finding. Running against newly published PyPI packages, it now detects 2-10 malicious packages daily. Remaining false positives mostly come from AI-related projects that use dynamic code execution, base64-inlined assets, or telemetry.

WISeKey and SEALSQ Plan Nasdaq Listing for Quantisimo Through GigCapital8

WISeKey and SEALSQ have established Quantisimo Corp., a joint venture special purpose vehicle, and signed a non-binding letter of intent with GigCapital8 (a SPAC) to pursue a Nasdaq listing. The proposed business combination values Quantisimo at approximately $575 million pre-money, with ambitions to grow to $2 billion through acquisitions of up to five additional quantum companies. Quantisimo aims to become a publicly traded platform focused on trusted quantum technologies, drawing on WISeKey's cybersecurity expertise and SEALSQ's semiconductor and post-quantum security portfolio. The transaction is expected to close in Q1 2027, pending regulatory and shareholder approvals.