Scientists have developed a new approach to correcting common quantum computing errors, which could pave the way for more reliable systems.
Separate two superconductors with a thin layer of material and something strange happens.
Their superconductivity—a property driven by paired electrons that allows electricity to flow without energy loss—can leak into the barrier and link together, synchronizing their behavior despite the separation.
This device is known as a Josephson junction. It’s the foundational building block of quantum computers and advances of it won the 2025 Nobel Prize in Physics.
Encapsulated microbubbles (EMBs), tiny gas-filled bubbles coated in lipid or protein shells, play a central role in biomedical ultrasound. When exposed to ultrasound waves, EMBs contract, resulting in oscillations that enhance image contrast or deliver drugs directly by creating pores in cell membranes via sonoporation. However, while promising for biomedical applications, their behavior is far more complex.
Most existing theories on EMBs assume spherically symmetrical oscillations and only study them in simple Newtonian fluids. However, most biological fluids, such as blood, are viscoelastic (non-Newtonian) fluids. When inside the body, these fluid forces, pressure from vessel walls, and changing ultrasound pulses can influence the behavior of EMBs, affecting both imaging accuracy and treatment safety.
To better understand these effects, a multi-institutional research team has developed a comprehensive computational model that simulates the behavior of EMBs under real biological conditions. The team included Assistant Professor Haruki Furukawa and Professor Shuichi Iwata from Nagoya Institute of Technology (NITech), Japan, in collaboration with Emeritus Professor Tim N. Phillips, Dr. Michael J. Walters, and Reader Steven J. Lind from Cardiff University, Wales.
David Deutsch didn’t just contribute to the field of quantum computing—he redefined what computation *is*, bridging the gap between physics and information in a way no one had before. By theorizing the universal quantum computer, Deutsch opened the door to possibilities previously confined to science fiction, forever altering our understanding of reality and the limits of what machines can achieve.
The familiar fight between “mind as software” and “mind as biology” may be a false choice. This work proposes biological computationalism: the idea that brains compute, but not in the abstract, symbol-shuffling way we usually imagine. Instead, computation is inseparable from the brain’s physical structure, energy constraints, and continuous dynamics. That reframes consciousness as something that emerges from a special kind of computing matter, not from running the right program.
This year is the last time that we’ll ever witness the launch of any flagship 3nm chipset, because companies like Apple, Qualcomm, and MediaTek are expected to gravitate to TSMC’s next-generation 2nm process. The Taiwanese semiconductor giant has been reported to have begun mass production, while also investing in three additional facilities to ramp up manufacturing and meet demand.
Apple is said to have secured more than half of TSMC’s initial 2nm capacity, but the latest rumor claims that MediaTek and Qualcomm will unveil their SoCs alongside their competitor in the same month. As for how this will be possible, the tipster states that the production cycle of the 2nm node is longer than TSMC’s 3nm, and the finalization of each chipset will likely be completed earlier.
Qualcomm and MediaTek have been rumored to transition to TSMC’s improved 2nm ‘N2P’ process instead of the ‘N2’ variant to gain an edge over Apple, but according to Smart Chip Insider, all three companies will utilize the same manufacturing process while also unveiling their next-generation SoCs in September. For those unfamiliar, the A20 and A20 Pro are expected to arrive next year for the iPhone 18 series and iPhone Fold, with Qualcomm unveiling not one, but two Snapdragon 8 Elite Gen 6 versions that will be separated by the ‘Pro’ moniker.