A research team has developed an innovative hybrid quantum-classical computing approach that combines quantum optimization, machine learning, and classical computations to efficiently screen thousands of diarylethene derivatives, successfully identifying five promising photochromic compounds with optimal properties for light-controlled drug delivery applications.
A team of researchers led by Professor Yasuyuki Ishii discovered that β’-EtMe3Sb[Pd(dmit)2]2, previously thought to be a two-dimensional quantum spin liquid, actually exhibits one-dimensional spin behavior, challenging conventional understanding and potentially impacting future quantum computing applications.
Tokyo Metropolitan University researchers discovered that polycrystalline iron-nickel-zirconium alloys exhibit unconventional superconductivity through a dome-shaped phase diagram, representing a significant advance in developing practical high-temperature superconductors despite neither pure iron zirconide nor nickel zirconide showing such properties individually.
A University of Tokyo research team has achieved a significant breakthrough in spintronic technology by successfully controlling spin-polarized current direction in single-atom thallium-lead alloy layers at room temperature. Led by researchers Ibuki Taniuchi, Ryota Akiyama, […]
Physicists at Osaka Metropolitan University developed simplified formulas to quantify quantum entanglement between selected atoms and their environment in strongly correlated electron systems, revealing unexpected quantum interaction patterns that could advance quantum technologies.
Japanese researchers have achieved a significant advancement in quantum sensing technology by developing nanodiamond sensors that combine excellent brightness for bioimaging with quantum-grade spin properties comparable to bulk diamonds. This breakthrough, published in ACS Nano […]
In the rapidly evolving field of quantum computing, researchers from the RIKEN Center for Quantum Computing and Toshiba have achieved a significant breakthrough that promises to enhance the reliability and performance of quantum systems. Their […]
Scientists have used light to visualize magnetic domains, and manipulated these regions using an electric field, in a quantum antiferromagnet. This method allows real-time observation of magnetic behaviors, paving the way for advancements in next-generation […]
It’s easy to control the trajectory of a basketball: all we have to do is apply mechanical force coupled with human skill. But controlling the movement of quantum systems such as atoms and electrons is much more challenging, as these minuscule scraps of matter often fall prey to perturbations that knock them off their path in unpredictable ways. Movement within the system degrades — a process called damping — and noise from environmental effects such as temperature also disturbs its trajectory.
Researchers have successfully extended the quantum phase difference estimation algorithm, a general quantum algorithm for the direct calculations of energy gaps, to enable the direct calculation of energy differences between two different molecular geometries. This allows for the computation, based on the finite difference method, of energy derivatives with respect to nuclear coordinates in a single calculation.
Researchers at the University of Tokyo have developed highly efficient blue quantum dots using a novel bottom-up, self-organizing chemical approach, solving a critical challenge in display technology while requiring advanced “cinematic chemistry” imaging techniques to visualize the precisely structured 2.4-nanometer nanocrystals.
Researchers at the University of Tokyo developed two hybrid quantum systems—an electron-superconducting circuit and an electron-ion coupled system—that successfully demonstrated control over trapped electrons’ temperature and movement, potentially solving key limitations in qubit stability for quantum computing.
Japanese startup QunaSys announces the launch of private beta release of QunaSys Qamuy for quantum chemistry calculations.