A popular hypothesis for how the brain clears molecular waste, which may help explain why sleep feels refreshing, is a subject of debate.

The Great Pyramid of Giza has mystified historians, archaeologists, and engineers for centuries. From its precision alignment with astronomical bodies to its geometric perfection, every aspect seems meticulously engineered for purposes beyond mere burial or symbolic display. But what if the purpose was far more profound — and fundamentally quantum?
Alopecia is an autoimmune disorder that causes non-scarring hair loss on the scalp and body that is experienced by almost 2% of the global population at some point in their lifetime.
A team of researchers from Australia, Singapore, and China discovered that activated hair follicle stem cells (HFSCs), crucial for hair regrowth and repair, require a powerful protector protein called MCL-1 to function successfully. Without MCL-1, these cells undergo stress and eventually die, leading to hair loss, as reported in a Nature Communications study.
Hair follicles are small tunnel-like structures in the skin where hair grows. These follicles repeatedly cycle through three distinct phases: anagen, the active growth phase; catagen, a transitional phase marked by slowed growth and follicle shrinkage; and telogen, a resting phase where growth ceases and shedding occurs, after which the cycle begins afresh, driven by HFSCs.
In an attempt to speed up quantum measurements, a new Physical Review Letters study proposes a space-time trade-off scheme that could be highly beneficial for quantum computing applications.
Quantum computing has several challenges, including error rates, qubit stability, and scalability beyond a few qubits. However, one of the lesser-known challenges quantum computing faces is the fidelity and speed of quantum measurements.
The researchers of the study address this challenge by using additional or ancillary qubits to significantly reduce measurement time while maintaining or improving the quality of measurements.