A group of Tohoku University researchers has developed a theoretical model for a high-performance spin wave reservoir computing (RC) that utilizes spintronics technology. The breakthrough moves scientists closer to realizing energy-efficient, nanoscale computing with unparalleled computational power.
Credit: Springer Nature Limited
JILA breakthrough in integrating artificial atoms with photonic circuits advances quantum computing efficiency and scalability.
In quantum information science, many particles can act as “bits,” from individual atoms to photons. At JILA, researchers utilize these bits as “qubits,” storing and processing quantum 1s or 0s through a unique system.
While many JILA Fellows focus on qubits found in nature, such as atoms and ions, JILA Associate Fellow and University of Colorado Boulder Assistant Professor of Physics Shuo Sun is taking a different approach by using “artificial atoms,” or semiconducting nanocrystals with unique electronic properties. By exploiting the atomic dynamics inside fabricated diamond crystals, physicists like Sun can produce a new type of qubit, known as a “solid-state qubit,” or an artificial atom.
The work, facilitated by the Chicago Quantum Exchange (CQE) and led by a team that includes UD, Argonne, JPMorgan Chase and University of Chicago scientists, lays groundwork for future applications—and highlights the need for cross-sector collaboration.
The third category, stochastic modeling, is used across the sciences to predict the spread of disease, the evolution of a chemical reaction, or weather patterns. The mathematical technique models complex processes by making random changes to a variable and observing how the process responds to the changes.
The method is used in finance, for instance, to describe the evolution of stock prices and interest rates. With the power of quantum computing behind it, stochastic modeling can provide faster and more accurate predictions about the market.
Superconductivity makes physics seem like magic. At cold temperatures, superconducting materials allow electricity to flow indefinitely while expelling outside magnetic fields, causing them to levitate above magnets. MRIs, maglev trains, and high-energy particle accelerators use superconductivity, which also plays a crucial role in quantum computing, quantum sensors, and quantum measurement science. Someday, superconducting electric grids might deliver power with unprecedented efficiency.
Challenges with Superconductors
Yet scientists lack full control over conventional superconductors. These solid materials often comprise multiple kinds of atoms in complicated structures that are difficult to manipulate in the lab. It’s even harder to study what happens when there’s a sudden change, such as a spike in temperature or pressure, that throws the superconductor out of equilibrium.
From the article:
“Somewhere between one and ten million qubits are needed for a fault-tolerant quantum computer, whereas IBM has only just realized a 1,200-qubit computer,” says Aoki.
While this approach isn’t limited to any specific platform for quantum computers, it does lend itself to trapped ions and neutral atoms since they don’t need to be cooled to cryogenic temperatures, which makes them much easier to connect.
Continue reading “A fresh approach to quantum computers based on atoms and photons” »
Even the most complicated data processing on a computer can be broken down into small, simple logical steps: You can add individual bits together, you can reverse logical states, you can use combinations such as “AND” or “OR.” Such operations are realized on the computer by very specific sets of transistors. These sets then form larger circuit blocks that carry out more complex data manipulations.
Computex trade show lines up Intel CEO Pat Gelsinger to deliver keynote, and he’s expected to showcase Intel’s new Arrow Lake Core CPUs.
I hope visionOS 2 brings at least these seven Apple Vision Pro possible features to help Apple improve its first spatial computer.
MIT ’s breakthrough in integrating 2D materials into devices paves the way for next-generation devices with unique optical and electronic properties.
Two-dimensional materials, which are only a few atoms thick, can exhibit some incredible properties, such as the ability to carry electric charge extremely efficiently, which could boost the performance of next-generation electronic devices.
But integrating 2D materials into devices and systems like computer chips is notoriously difficult. These ultrathin structures can be damaged by conventional fabrication techniques, which often rely on the use of chemicals, high temperatures, or destructive processes like etching.
