A faster experiment to find and study topological materials
Using machine learning and simple X-ray spectra, researchers can uncover compounds that might enable next-generation computer chips or quantum devices.
Using machine learning and simple X-ray spectra, researchers can uncover compounds that might enable next-generation computer chips or quantum devices.
Single-shot spectroscopy techniques provide researchers with a new understanding of a mysterious light-driven process.
A new technique could improve the precision of atomic clocks and of quantum sensors for detecting dark matter or gravitational waves.
Long predicted but never observed, this fluid-like electron behavior could be leveraged for low-power next-generation electronics.
A drive to understand natural science phenomena ignited MIT graduate student Changhao Li’s love of quantum physics.
An MIT team incorporates AI to facilitate the detection of an intriguing materials phenomenon that can lead to electronics without energy dissipation.
New research provides insights into how quantum mechanics can control ultracold chemistry.
Doctoral candidate Nina Andrejević combines spectroscopy and machine learning techniques to identify novel and valuable properties in matter.
New work on superconducting kagome metal will aid design of other unusual quantum materials, with many potential applications.
The new observations record a key crossover from classical to quantum behavior.
Work has potential applications in quantum computing, and introduces new way to plumb the secrets of superconductivity.
The results open possibilities for studying gravity’s effects on relatively large objects in quantum states.
The design, which uses entangled atoms, could help scientists detect dark matter and study gravity’s effect on time.
A quantum effect in topological semimetals demonstrated by MIT researchers could allow for the utilization of an untapped energy source.
Quantum computers could usher in a golden age of computing power, solving problems intractable on today’s machines.