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Magically reducing errors in quantum computers: Researchers invent technique to decrease overhead

For decades, quantum computers that perform calculations millions of times faster than conventional computers have remained a tantalizing yet distant goal. However, a new breakthrough in quantum physics may have just sped up the timeline.

In an article titled “Efficient Magic State Distillation by Zero-Level Distillation” published in PRX Quantum, researchers from the Graduate School of Engineering Science and the Center for Quantum Information and Quantum Biology at the University of Osaka devised a method that can be used to prepare high-fidelity “magic states” for use in quantum computers with dramatically less overhead and unprecedented accuracy.

Quantum computers harness the fantastic properties of quantum mechanics such as entanglement and superposition to perform calculations much more efficiently than classical computers can. Such machines could catalyze innovations in fields as diverse as engineering, finance, and biotechnology. But before this can happen, there is a significant obstacle that must be overcome.

Can space and time emerge from simple rules? Wolfram thinks so

Stephen Wolfram joins Brian Greene to explore the computational basis of space, time, general relativity, quantum mechanics, and reality itself.

This program is part of the Big Ideas series, supported by the John Templeton Foundation.

Participant: Stephen Wolfram.
Moderator: Brian Greene.

0:00:00 — Introduction.
01:23 — Unifying Fundamental Science with Advanced Mathematical Software.
13:21 — Is It Possible to Prove a System’s Computational Reducibility?
24:30 — Uncovering Einstein’s Equations Through Software Models.
37:00 — Is connecting space and time a mistake?
49:15 — Generating Quantum Mechanics Through a Mathematical Network.
01:06:40 — Can Graph Theory Create a Black Hole?
01:14:47 — The Computational Limits of Being an Observer.
01:25:54 — The Elusive Nature of Particles in Quantum Field Theory.
01:37:45 — Is Mass a Discoverable Concept Within Graph Space?
01:48:50 — The Mystery of the Number Three: Why Do We Have Three Spatial Dimensions?
01:59:15 — Unraveling the Mystery of Hawking Radiation.
02:10:15 — Could You Ever Imagine a Different Career Path?
02:16:45 — Credits.

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Ultralow loss optical microresonators pave way for miniaturized, tunable photonic systems

Aston University researchers have developed a new class of optical microresonators, miniature optical devices that strongly confine and enhance light in microscopic dimensions. They are essential components in a wide range of systems, including ultra-precise optical sensors and information processors.

The University researchers discovered that unique optical microresonators can be introduced at the intersection of two optical fibers. These devices have potential applications in communication, computing, sensing and more.

The new ultralow loss optical microresonators can be finely tuned by simply rotating two intersecting optical fibers. Unlike current monolithic microresonators, these devices have a widely tunable free spectral range (FSR) and allow for their .

New all-silicon computer vision hardware advances in-sensor visual processing technology

Researchers at the University of Massachusetts Amherst have pushed forward the development of computer vision with new, silicon-based hardware that can both capture and process visual data in the analog domain. Their work, described in the journal Nature Communications, could ultimately add to large-scale, data-intensive and latency-sensitive computer vision tasks.

“This is very powerful retinomorphic hardware,” says Guangyu Xu, associate professor of electrical and engineering and adjunct associate professor of biomedical engineering at UMass Amherst. “The idea of fusing the sensing unit and the processing unit at the device level, instead of physically separating them apart, is very similar to the way that process the visual world.”

Existing computer vision systems often involve exchanging redundant data between physically separated sensing and computing units.

Revolutionizing OLEDs: New Model Unlocks Longer Lifespan and Brighter Displays

Researchers have developed a novel analytical model that reveals the kinetics of exciton dynamics in thermally activated delayed fluorescence (TADF) materials. Organic light-emitting diodes, or OLEDs, are photoluminescence devices that use organic compounds to generate light. Compared to traditio