RCK

Insider Brief Researchers developed a quantum neural network training framework that enabled direct gradient-based optimization on quantum hardware while maintaining performance comparable to strong classical imputation methods on a clinical dataset. The approach combines a Butterfly circuit architecture, layer-wise training and a parallelized gradient-estimation technique to substantially reduce the number of quantum circuit evaluations required … Read more

A joint research collaboration between researchers at the University of Illinois at Urbana-Champaign (UIUC), UC Berkeley, and the open source AI-native vector database platform Chroma unveiled Harness-1, a 20-billion parameter open-source search agent built atop OpenAI’s gpt-oss-20B open source model that fundamentally redesigns how AI executes complex retrieval tasks. Harness-1 achieves a massive leap in … Read more

Insider Brief WiMi is exploring a multi-dimensional pooling optimization approach that combines variational quantum algorithms, the Quantum Haar Transform, and quantum partial measurement techniques. The proposed framework is designed to preserve local feature information while reducing data dimensionality in high-dimensional datasets. According to the company, the approach could support future quantum machine learning applications involving … Read more

Insider Brief The United States and Japan announced a planned $1 billion partnership under the Genesis Mission to support joint research in areas including quantum information science, fusion energy, advanced materials, biotechnology, and AI-driven discovery. Eleven joint research teams will bring together DOE National Laboratories, DOE user facilities, and leading Japanese institutions to collaborate on … Read more

Insider Brief The Quantum Insider will host a July 7 webinar with Haiqu examining whether agent-based systems can reduce inefficiencies and accelerate quantum research and development workflows. The panel will explore where quantum R&D teams lose time, demonstrate an agentic operating system from research question to hardware execution and results reporting, and include a live … Read more

Insider Brief Researchers at the University of Chicago proposed a simple cavity QED method that can generate and control a wide range of highly entangled quantum states using standard laboratory tools and adjustable laser-driven energy offsets. The approach breaks the symmetry of conventional cavity QED systems by assigning paired atoms opposite energy shifts, enabling the … Read more

Insider Brief Alice & Bob has proposed a five-part framework for evaluating logical qubit claims, arguing that the industry needs a common standard to assess progress toward fault-tolerant quantum computing. The framework evaluates whether a logical qubit outperforms physical qubits, improves as error-correction resources scale, operates across enough correction cycles, avoids post-selection, and remains stable … Read more

Insider Brief SPACs are regaining traction as a financing vehicle for deep-tech companies, with supporters arguing that their structure is well suited to quantum computing firms that require large amounts of capital and face long commercialization timelines. Unlike traditional IPOs, SPAC mergers allow companies to provide forward-looking financial projections and establish valuation earlier in the … Read more

Kayne Anderson Real Estate, the real estate investment arm of Kayne Anderson, expects significant capital rotation into US alternative real estate sec

Agentic AI is now a core part of the engineering process, driving massive execution leverage and helping us generate more code than ever before. Yet, a difficult question I’ve increasingly heard from business leaders is: if we’re shipping code faster than ever, why aren’t our products improving at the same rate?The reason is that writing … Read more