Researchers explored the connection between the quantum speed limit (QSL) and time resolution in quantum sensing, particularly through Ramsey interferometry. They established that the best possible time resolution is intrinsically tied to the QSL, offering practical insights for optimizing quantum sensor applications.
By Samudrapom Dam
4 Jul 2024
Researchers have successfully developed the first white light-emitting electrochemical cell (LEC) using carbon dots, enhancing sustainability in lighting devices. By employing a novel water-based synthesis and green solvents, the study showcases improved device stability and performance, marking a significant advancement in optoelectronic materials.
By Samudrapom Dam
3 Jul 2024
Researchers from the University of São Paulo and Kiel University offered a novel approach to the monitoring of QD creation.
Computer-aided drug design, particularly quantum mechanics (QM) methods, offers chemically accurate insights but is limited by computational efficiency, especially for large systems. Researchers summarize recent advances in the application of QM-based methods in bioactive species characterization, structure-guided hit-to-lead optimization, and the identification of molecular features of bioactivity.
By Silpaja Chandrasekar
2 Jul 2024
A group of researchers from the Pohang University of Science and Technology and the National Institute for Materials Science have successfully controlled the quantum mechanical properties of Andreev-bound states in bilayer graphene-based Josephson junctions using gate voltage.
Researchers in the journal Light: Science & Applications demonstrated chiral behavior in a quantum system without encircling its Liouvillian exceptional points (LEPs). Using a Paul-trapped ion setup, they showed asymmetric mode conversion crucial for quantum thermodynamic cycles, highlighting the role of non-adiabatic processes like the Landau-Zener-Stückelberg phase in chiral state transfer dynamics.
By Samudrapom Dam
1 Jul 2024
A team of researchers has used machine learning approaches to effectively show automatic charge state detection in quantum dot devices.
Quantum materials, especially quantum dots, have significantly enhanced solar cell efficiency, contributing to clean energy advancements. This review explores the application of various quantum dots, including InP, CdS, Au, Ga, and carbon-based quantum dots, in solar cell development, highlighting their substantial impact on power conversion efficiency.
By Samudrapom Dam
27 Jun 2024
In a recent study published in the journal Physical Review Letters, Professor Wei Guo from the Florida State University provided insights into the quantum state, which characterizes the situation of electrons on such a qubit.
Researchers reviewed the potential of quantum dots for enhancing photocatalytic hydrogen production, addressing efficiency and stability issues crucial for sustainable energy solutions.
By Samudrapom Dam
26 Jun 2024
An international group of researchers led by Qimiao Si of Rice University predicts the presence of flat electronic bands at the Fermi level, which was published in the journal Nature Communications.
Researchers have developed a quantum machine learning (QML) and deep ensemble learning model to enhance the detection and classification of Alzheimer's disease from MRI scans, achieving unprecedented accuracy.
By Samudrapom Dam
25 Jun 2024
In a recent study published in the journal Nature Astronomy, astronomers at the University of Turku discovered that a well-known X-Ray binary—the precise nature of which has eluded scientists up until now—is actually a covert ultraluminous X-Ray source.
Researchers reviewed the integration of graphene photodetectors with perovskite quantum dots (PQDs) and silicon (Si) to enhance optoelectronic performance. These hybrid structures address graphene's weak light interaction by leveraging Si's high absorbance and PQDs' efficient charge transfer, offering significant improvements in photodetection capabilities.
By Samudrapom Dam
24 Jun 2024
In a study that was published in PeerJ Computer Science, Professor Kazuhiro Ogata, and Assistant Professor Canh Minh Do of the Japan Advanced Institute of Science and Technology (JAIST) suggested using symbolic model checking to validate quantum circuits.