Software breakthrough could spur quantum computer advances
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Oct-2026 19:17 ET (21-Oct-2026 23:17 GMT/UTC)
A major software advance could aid the creation of bigger, more reliable quantum computers, a study suggests.
What does it take for an autonomous robot to be faster around a course than human drone-pilots? At these dizzying speeds, humans need lightning-fast reflexes. Researchers at Delft University of Technology (The Netherlands) have developed an AI system that enables a racing drone to navigate demanding courses at extreme speed using only a single camera. It outperformed even former world champion human drone-pilots in a race. Now published in Science Robotics, the scientific work behind this accomplishment shows how compact, efficient neural-network-based control can achieve high-performance autonomous flight under real-world conditions. The underlying principles could help advance a much broader class of autonomous robots, from vehicles to mobile and humanoid systems.
By applying mRNA technology and structural engineering, researchers have fashioned an advanced antibody therapy that can neutralize SARS-CoV-2 while constraining the virus’ ability to escape recognition. The therapy protected mice against infections with an immune-evasive Omicron variant, and provides a structural template for antiviral antibodies that can keep up with their constantly evolving viral targets. Although the COVID-19 pandemic is over, SARS-CoV-2 remains a threat to public health, and is especially dangerous for people with compromised immune systems who can’t fully benefit from vaccines. Antibody therapies are critical for these high-risk groups, as they can bind to and neutralize the virus without the need for vaccine-induced immunity. However, like other viruses, SARS-CoV-2 is constantly evolving – and variants quickly appeared that could evade the first generation of antibody therapies. This escape has also undermined the deployment of next-generation antibodies, so new approaches are needed. Here, Anna Wec and colleagues used high-throughput screening and isolated several antibodies from llamas that could neutralize the XBB.1.5 and JN.1 variants of SARS-CoV-2. The researchers engineered these lead candidates into more potent bispecific antibodies, which can target multiple sites on the same protein. Furthermore, they introduced structural modifications that allow multiple antibodies to be delivered in tandem via mRNA. This mRNA strategy maximizes the antibodies’ ability to target SARS-CoV-2 as it evolves, and could potentially lower the high costs and manufacturing complexity that have held back previous bispecific antibody therapies. The platform neutralized a broad range of historical and current SARS-CoV-2 variants in serum and protected mice against infections with XBB1.5. “This platform may have applications in other therapeutic areas in which broad antigen coverage, resistance to escape, or simultaneous engagement of multiple disease-associated targets is desirable,” Wec et al. write.
A new computational model using skin conductance measurements to estimate stress-related emotional arousal found a significant difference in learned fear and safety responses over time between adults with and without insomnia. The new study from Dr. Rose T. Faghih of New York University Tandon School of Engineering, US, and collaborators at Harvard Medical School, US, describing the work was published this week in the open-access journal PLOS Mental Health.
A research team led by Prof. Haruki WATANABE, Professor in the Department of Physics and the HKUST Jockey Club Institute for Advanced Study (IAS) at The Hong Kong University of Science and Technology (HKUST), in collaboration with Prof. Yukitoshi MOTOME and graduate student Sena WATANABE from the University of Tokyo, has developed a unified theory that predicts when two states of matter are genuinely distinct and when they are secretly the same. The breakthrough provides a general framework for classifying phases across magnetic systems with different spin values and resolves a long-standing debate surrounding the behavior of water ice under extreme pressure. The paper titled "Topological phase transitions and their thermodynamic fate in arbitrary-𝑆 classical pyrochlore spin ice" was published in Physical Review X.
University of British Columbia researchers have uncovered a vulnerability that could allow hackers to target and disrupt critical infrastructure such as water treatment plants and energy grids without needing to break into a facility’s own systems or crack its encryption.