Scientists engineer the ‘purest ever silicon’ to build reliable qubits that can be manufactured to the size of a pinhead on a chip and power million-qubit quantum computers in the future.
A new concept called quantum spherical codes could make the notoriously fragile information in a photon-based quantum computer less susceptible to errors.
Many recent experiments have stored quantum information in bosonic modes, such as photons in resonators or optical fibres. Now an adaptation of the classical spherical codes provides a framework for designing quantum error correcting codes for these platforms.
Deep in outer space, invisible hands mold the universe. One is dark matter, an unseen substance thought to bind distant galaxies. The other is dark energy, a force believed to push stellar structures apart with gravity-defying strength.
Despite its promising characteristics in condensed matter physics, the triply-degenerate semimetal PtBi2 has been largely unexplored in practical applications, particularly in semiconductor technology. The main difficulties include a lack of empirical data on the integration of PtBi2 with existing semiconductor components and the need for innovative approaches to leverage its unique properties, such as high stability and mobility, within the constraints of current electronic manufacturing processes.
Chinese scientists have developed a new type of lens that can be used for health care and augmented reality (AR). Based on radio frequency, the eye-tracking smart contact lenses don’t require battery or conventional silicon chips and are biocompatible and imperceptible.
Set to be used for human-machine interaction (HMI), the smart contact lenses rely on tracking eye movements. The lenses use methods like pupil center corneal reflection and electrooculography (EOG) to track eye movements.
It’s one thing to dream up a quantum internet that could send hacker-proof information around the world via photons superimposed in different quantum states. It’s quite another to physically show it’s possible.
The company is aiming to be the first memory-maker to hit the 1 petabyte barrier in a single SSD.
A collaborative effort between Harvard and Google has led to a breakthrough in brain science, producing an extensive 3D map of a tiny segment of human brain, revealing complex neural interactions and laying the groundwork for mapping an entire mouse brain.
A cubic millimeter of brain tissue may not sound like much. But considering that tiny square contains 57,000 cells, 230 millimeters of blood vessels, and 150 million synapses, all amounting to 1,400 terabytes of data, Harvard and Google researchers have just accomplished something enormous.
A Harvard team led by Jeff Lichtman, the Jeremy R. Knowles Professor of Molecular and Cellular Biology and newly appointed dean of science, has co-created with Google researchers the largest synaptic-resolution, 3D reconstruction of a piece of human brain to date, showing in vivid detail each cell and its web of neural connections in a piece of human temporal cortex about half the size of a rice grain.
New photonic integrated circuit technology based on lithium tantalate improves cost-efficiency and scalability, making significant advancements in optical communications and computing.
Optical communications and computing systems have been revolutionized by the rapid advancement in photonic integrated circuits (PICs), which combine multiple optical devices and functionalities on a single chip.
For decades, silicon-based PICs have dominated the field due to their cost-effectiveness and their integration with existing semiconductor manufacturing technologies, despite their limitations with regard to their electro-optical modulation bandwidth. Nevertheless, silicon-on-insulator optical transceiver chips were successfully commercialized, driving information traffic through millions of glass fibers in modern data centers.
Researhcesr from EPFL and SIMIT have managed to develop a new lithium tantalate chip that could reduce costs and improve performance of PICs.
