Spin Hall nano-oscillators (SHNOs) are nanoscale spintronic devices that convert direct current into high-frequency microwave signals through spin wave auto-oscillations. This is a type of nonlinear magnetization oscillations that are self-sustained without the need...
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Coupled semiconductor lasers generate novel optical patterns, enabling new spectroscopy techniques
The physical interaction between two or more systems, also known as coupling, can give rise to unique and unexpected effects. In the field of optics, coupled light sources (e.g., lasers) can influence each other, producing complex light patterns that cannot be emitted...
Sub-GeV dark matter hunt: SENSEI collaboration reports first findings
Detecting dark matter particles and understanding their underlying physics is a long-standing research goal for many researchers worldwide. Dark matter searches have been aimed at detecting different possible signals that could be associated with the presence of these...
NEON experiment shares results from first direct search for light dark matter
Detecting dark matter, the elusive type of matter predicted to account for most of the universe's mass, has so far proved to be very challenging. While physicists have not yet been able to determine what exactly this matter consists of, various large-scale experiments...
Using phononic bandgap materials to suppress decoherence in quantum computers
Quantum computers have the potential of outperforming classical computers on some optimization and computational tasks. Compared to classical systems, however, quantum systems are more prone to errors, as they are more sensitive to noise and prone to so-called...
Superionic compound with liquid-like dynamics shows promise as solid-state battery electrolyte
Superionic materials are a class of materials that simultaneously present properties that are characteristic of solids and liquids. Essentially, a set of ions in these materials exhibits liquid-like mobility, even if the materials' underlying atomic structure...
Trapped-ion processor demonstrates verifiable quantum random sampling
One of the key goals within the field of quantum computing is to achieve what is known as a quantum advantage. This term essentially describes the point after which a quantum computer can outperform a classical computer on a specific task or solve a problem that is...
Behavior-based dependency networks can shape the resilience of cities following economic shocks
Unexpected crises or events, such as the COVID-19 pandemic or natural disasters, can cause disruptions to a city's economy. For instance, forcing businesses to temporarily close or hindering their daily operations. As businesses often rely on each other, changes in...
Study demonstrates integration of 1,024 silicon quantum dots with on-chip electronics all operating at low temperatures
Quantum computers have the potential of outperforming classical computers on some optimization tasks. Yet scaling up quantum computers leveraging existing fabrication processes while also maintaining good performances and energy-efficiencies has so far proved...
Melting temperature and phase stability of iron under core-like conditions shed light on Earth’s geodynamics
Iron is one of the main elements found in the Earth's inner core, which is characterized by extremely high temperatures and pressures. Determining how iron behaves in these extreme conditions could thus help to advance the current understanding of our home planet's...