Multivariate porous materials (MTV) are like a "collection of Lego blocks," allowing for customized design at a molecular level to freely create desired structures. Using these materials enables a wide range of applications, ...
During his Ph.D. at UMass, Nikhil Malvankar was laser-focused on quantum mechanics and the movement of electrons in superconductors. Now a professor at Yale, the native of Mumbai, India, has pivoted toward biology to explain ...
Quantum computers, systems that perform computations leveraging quantum mechanical effects, could outperform classical computers in some optimization and information processing tasks. As these systems are highly influenced ...
Quantum computers hold the potential of solving some optimization and data processing problems that cannot be tackled by classical computers. Many of the most promising quantum computing platforms developed so far are based ...
To build a large-scale quantum computer that works, scientists and engineers need to overcome the spontaneous errors that quantum bits, or qubits, create as they operate.
Quantum computers have the potential to solve problems far beyond the reach of today's fastest supercomputers. But today's machines are notoriously fragile. The quantum bits, or "qubits," that store and process information ...
Whenever we mull over what film to watch on Netflix, or deliberate between different products on an e-commerce platform, the gears of recommendation algorithms spin under the hood. These systems sort through sprawling datasets ...
The efficiency of quantum computers, sensors and other applications often relies on the properties of electrons, including how they are spinning. One of the most accurate systems for high-performance quantum applications ...
Macquarie University researchers have demonstrated a technique to dramatically narrow the linewidth of a laser beam by a factor of over ten thousand—a discovery that could revolutionize quantum computing, atomic clocks and ...
Kenneth Merz, Ph.D., of Cleveland Clinic's Center for Computational Life Sciences and a team are exploring how quantum computers can work with supercomputers to better simulate molecule behavior.
