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Proposed framework describes physics from perspective of quantum reference frames

In an article published in Communications Physics, researchers from the Université libre de Bruxelles and the Institute for Quantum Optics and Quantum Information in Vienna present a new framework for describing physics relative to quantum reference frames, unveiling the importance of previously unrecognized “extra particles.”

In any experiment, specifying a physical quantity of interest always relies on a . For example, identifying the time at which an event happens only makes sense relative to a clock. Similarly, the position of a particle is usually defined relative to other particles. Reference frames are typically treated as classical systems, that is, they are assumed to have definite values when measured relative to other reference frames.

However, as far as we know, every system is ultimately quantum. As such, it can, in principle, exist in indefinite states called quantum superpositions. What does the physical world look like when described from the perspective of a reference frame that can be in a quantum superposition? Can we define consistent rules for changing between different perspectives?

Quantum Space Acquires Phase Four’s Propulsion Tech

Alabama spacecraft manufacturer Quantum Space is already putting its $40M Series A extension round to work, announcing the acquisition of Phase Four’s multi-modal propulsion tech on Monday for an undisclosed amount.

Quantum has also taken over ownership of Phase Four’s integration and test facility in Hawthorne, CA, which can churn out up to 100 engines per year.

Paying in gold: The deal opens the door for Quantum to integrate Phase Four’s unique propulsion capabilities to fuel Quantum’s Golden Dome ambitions. Phase Four’s multi-modal propulsion system uses chemical and electric propulsion to perform high thrust or high efficiency maneuvers, depending on the mission.

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Lasers just made atoms dance, unlocking the future of electronics

Scientists at Michigan State University have discovered how to use ultrafast lasers to wiggle atoms in exotic materials, temporarily altering their electronic behavior. By combining cutting-edge microscopes with quantum simulations, they created a nanoscale switch that could revolutionize smartphones, laptops, and even future quantum computers.

New approach improves accuracy of quantum chemistry simulations using machine learning

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials science studies.

The effort to understand materials and eats up roughly a third of national lab supercomputer time in the U.S. The gold standard for accuracy is the quantum many-body problem, which can tell you what’s happening at the level of individual electrons. This is the key to chemical and material behaviors as electrons are responsible for chemical reactivity and bonds, electrical properties and more. However, quantum many-body calculations are so difficult that scientists can only use them to calculate atoms and molecules with a handful of electrons at a time.

Density functional theory, or DFT, is easier—the computing resources needed for its calculations scale with the number of electrons cubed, rather than rising exponentially with each new electron. Instead of following each individual electron, this theory calculates electron densities—where the electrons are most likely to be located in space. In this way, it can be used to simulate the behavior of many hundreds of atoms.

A scalable and accurate tool to characterize entanglement in quantum processors

Quantum computers, computing systems that process information leveraging quantum mechanical effects, could soon outperform classical computers in various optimization and computational tasks.

To enable their reliable operation in real-world settings, however, engineers and physicists should be able to precisely control and understand the quantum states underpinning the functioning of .

The research team led by Dapeng Yu at Shenzhen International Quantum Academy, Tongji University and other institutes in China recently introduced a new mathematical tool that could be used to characterize quantum states in quantum processors with greater accuracy.

Compact phononic circuits guide sound at gigahertz frequencies for chip-scale devices

Phononic circuits are emerging devices that can manipulate sound waves (i.e., phonons) in ways that resemble how electronic circuits control the flow of electrons. Instead of relying on wires, transistors and other common electronic components, these circuits are based on waveguides, topological edge structures and other components that can guide phonons.

Phononic circuits are opening new possibilities for the development of high-speed communication systems, and various other technologies.

To be compatible with existing infrastructure, including current microwave communication systems, and to be used to develop highly performing quantum technologies, these circuits should ideally operate at gigahertz (GHz) frequencies. This essentially means that the sound waves they generate and manipulate oscillate billions of times per second.

Researchers are first to image directional atomic vibrations

Researchers at the University of California, Irvine, together with international collaborators, have developed a new electron microscopy method that has enabled the first-ever imaging of vibrations, or phonons, in specific directions at the atomic scale.

In many crystallized materials, atoms vibrate differently along varying directions, a property known as vibrational anisotropy, which strongly influences their dielectric, thermal and even superconducting behavior. Gaining a deeper understanding of this anisotropy allows engineers to tailor materials for use in electronics, semiconductors, optics and quantum computing.

In a paper published in Nature, the UC Irvine-led team details the workings of its momentum-selective electron energy-loss spectroscopy technique and its power to unveil the fundamental lattice dynamics of functional materials.

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