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Category: quantum physics – Page 6

Researchers have achieved a crucial milestone in quantum computing. They have created an operating system capable of enabling communication between quantum computers using different technologies.

This system, named QNodeOS, represents a significant advancement for quantum machine interoperability. Unlike classical systems like Windows or iOS, it is designed to handle the unique complexity of qubits, regardless of their physical nature. This innovation paves the way for more flexible and powerful quantum networks.

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The worlds of quantum mechanics and neural networks have collided in a new system that’s setting benchmarks for solving previously intractable optimization problems. A multi-university team led by Shantanu Chakrabartty at Washington University in St. Louis has introduced NeuroSA, a neuromorphic architecture that leverages quantum tunneling mechanisms to reliably discover optimal solutions to complex mathematical puzzles.

Published March 31 in Nature Communications, NeuroSA represents a significant leap forward in optimization technology with immediate applications ranging from logistics to drug development. While typical neural systems often get trapped in suboptimal solutions, NeuroSA offers something remarkable: a mathematical guarantee of finding the absolute best answer if given sufficient time.

“We’re looking for ways to solve problems better than computers modeled on human learning have done before,” said Chakrabartty, the Clifford W. Murphy Professor and vice dean for research at WashU. “NeuroSA is designed to solve the ‘discovery’ problem, the hardest problem in machine learning, where the goal is to discover new and unknown solutions.”

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Scientists have achieved a major leap in quantum technology by deriving an exact mathematical expression crucial for refining noisy quantum entanglement into the pure states needed for advanced quantum computing and communication. Their work revisits and corrects flawed theories from two decades

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A research team has developed the world’s first next-generation betavoltaic cell by directly connecting a radioactive isotope electrode to a perovskite absorber layer. By embedding carbon-14-based quantum dots into the electrode and enhancing the perovskite absorber layer’s crystallinity, the team achieved both stable power output and high energy conversion efficiency.

The work is published in the journal Chemical Communications. The team was led by Professor Su-Il In of the Department of Energy Science & Engineering at DGIST.

The newly developed technology offers a stable, long-term power supply without the need for recharging, making it a promising next-generation energy solution for fields requiring long-term power autonomy, such as , , and military applications.

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Researchers at QuTech in Delft have combined superconductors and quantum dots to observe and manipulate so-called Majorana bound states, which have properties that could enable stable quantum computation. By building a chain of three coupled quantum dots in a two-dimensional electron gas, they were able to demonstrate properties of Majoranas that are essential for the study of Majorana-based quantum bits.

The results are published in Nature.

One of the key issues in quantum computing remains the inherent instability of quantum bits. In the quest for fault-tolerant quantum computers, topological quantum bits are expected to be significantly less prone to errors. Key to these qubits are quasiparticles called Majorana bound states, which have been predicted to appear on opposite edges of one-dimensional superconducting systems.

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Researchers at Rensselaer Polytechnic Institute (RPI) are tackling one of the most complex challenges in the world of quantum information—how to create reliable, scalable networks that can connect quantum systems over distances.

Their work has resulted in two publications in Physical Review Letters and Science Advances, bringing us one step closer to realizing large-scale networked , or even the quantum internet.

The research team, which includes faculty members from the RPI Department of Physics, Applied Physics, and Astronomy, and the Department of Computer Science, is led by Assistant Professor Xiangyi Meng, Ph.D. Their research focuses on designing that use entanglement—a phenomenon where quantum particles become mysteriously correlated.

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Innsbruck physicists have presented a new architecture for improved quantum control of microwave resonators. In a study recently published in PRX Quantum, they show how a superconducting fluxonium qubit can be selectively coupled and decoupled with a microwave resonator and without additional components. This makes potentially longer storage times possible.

Microwave resonators are considered a promising building block for the development of robust quantum computers, as they store quantum information in more complex states. This simplifies and allows significantly longer storage times.

“The storage time of of these microwave resonators has so far been limited by undesirable interactions with the used to control them,” explains Gerhard Kirchmair from the Department of Experimental Physics at the University of Innsbruck and the Institute of Quantum Optics and Quantum Information (IQOQI) of the Austrian Academy of Sciences.

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Interdisciplinary teams across the Quantum Systems Accelerator (QSA) are using innovative approaches to push the boundaries of superconducting qubit technology, bridging the gap between today’s NISQ (Noisy Intermediate-Scale Quantum) systems and future fault-tolerant systems capable of impactful science applications.

QSA is one of the five United States Department of Energy National Quantum Information Science (QIS) Research Centers, bringing together leading pioneers in (QIS) and engineering across 15 partner institutions.

A superconducting is made from such as aluminum or niobium, which exhibit quantum effects when cooled to very low temperatures (typically around 20 millikelvins, or −273.13° C). Numerous technology companies and research teams across universities and national laboratories are leveraging for prototype scientific computing in this rapidly growing field.

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