Quantum eMotion has completed and validated its first-generation QRNG chip design based on quantum tunneling, marking a key milestone.
Category: quantum physics – Page 5
Topological quantum processor marks breakthrough in computing
In a leap forward for quantum computing, a Microsoft team led by UC Santa Barbara physicists on Wednesday unveiled an eight-qubit topological quantum processor, the first of its kind. The chip, built as a proof-of-concept for the scientists’ design, opens the door to the development of the long-awaited topological quantum computer.
“We’ve got a bunch of stuff that we’ve been keeping under wraps that we’re dropping all at once now,” said Microsoft Station Q Director Chetan Nayak, a professor of physics at UCSB and a Technical Fellow for Quantum Hardware at Microsoft. The chip was revealed at Station Q’s annual conference in Santa Barbara, and accompanies a paper published in the journal Nature, authored by Station Q, their Microsoft teammates and a host of collaborators that presents the research team’s measurements of these new qubits. (Circa Feb 20 2025)
Microsoft team led by UC Santa Barbara physicists unveils first-of-its-kind topological qubit, paving the way for a more fault-tolerant quantum computer.
German scientists create material that never existed before and could transform semiconductors, lasers, and quantum technology
German scientists have achieved a breakthrough. They have created a novel material, CSiGeSn. This alloy combines carbon, silicon, germanium, and tin. The new compound is stable. Experts believe it will revolutionize electronics and quantum computing. The team used existing chip manufacturing technology. This ensures compatibility. The discovery paves the way for advanced components. It also allows for scalable production.
Peter Putnam, the Wittgenstein of quantum physics, takes on the Multiverse
I have for a long time been searching for applications of the philosophy of Wittgenstein, particularly later Wittgenstein, to physics. I believe I have found that application in the work of Peter Putnam, who, building on the philosophy of Sir Arthur Eddington, Everett (of Many Worlds fame), and John Wheeler, constructed, in his private musings, the beginnings of a verbal, syntactical representation theory for quantum physics.
There have been a couple of articles lately about Putnam, starting with this one in Nautilus less than a month ago.
He was a relatively unknown figure who might have been as famous as Wittgenstein himself if not for a meddling mother.
Toward quantum enhanced coherent Ising machines
The Graduate School of Information Science (GSIS) at Tohoku University, together with the Physics and Informatics (PHI) Lab at NTT Research, Inc., have jointly published a paper in the journal Quantum Science and Technology. The study involved studying a combinatorial clustering problem, a representative task in unsupervised machine learning.
Together, the two institutions are researching methods to bring to life a large-scale CIM simulation platform using conventional high-performance computing (HPC). This large-scale CIM will be critical to enabling cyber CIMs that will be widely accessible for solving hard NP, NP-complete and NP-hard problems.
The collaboration kicked off in 2023 with Hiroaki Kobayashi, Professor at the GSIS at Tohoku University, acting as the principal investigator for the joint research agreement (JRA), with PHI Lab Director Yoshihisa Yamamoto joining as the NTT Research counterpart to Kobayashi.
Human-AI teamwork uncovers hidden magnetic states in quantum spin liquids
At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don’t have much data. Conversely, successful machine learning (ML) tends to rely on large, high-quality data sets for training. So how can researchers harness AI effectively to support their investigations?
In Physical Review Research, scientists describe an approach for working with ML to tackle complex questions in condensed matter physics. Their method tackles hard problems which were previously unsolvable by physicist simulations or by ML algorithms alone.
The researchers were interested in frustrated magnets— magnetic materials in which competing interactions lead to exotic magnetic properties. Studying these materials has helped to advance our understanding of quantum computing and shed light on quantum gravity. However, frustrated magnets are very difficult to simulate, because of the constraints arising from the way magnetic ions interact.
“They Made It 2,000× More Efficient!”: New Quantum Computer Crushes Supercomputers by Using Less Power and Solving Problems 200× Faster
IN A NUTSHELL 🚀 Nord Quantique introduces a revolutionary bosonic qubit design that integrates error correction directly into its structure. 🌱 The new quantum computers are significantly energy-efficient, using only a fraction of the power required by traditional systems. 🔧 Utilizing multimode encoding, Nord Quantique’s system achieves a 1:1 ratio of physical to logical qubits.