A new method lets quantum gas microscopes measure not only where atoms are but also how they move.
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A Quantum Cyclotron for Antimatter
A device that stores a single positron and controls its quantum states could measure its magnetic moment with unprecedented precision, testing a symmetry principle central to quantum field theory.
Nearly 80 years ago, the discovery of an anomaly in the magnetic moment of the electron played a key role in the birth of quantum electrodynamics (QED). The electron magnetic moment has since become one of the most precisely measured properties of an elementary particle, providing stringent tests of the standard model of particle physics. The demonstration of an apparatus for measuring the magnetic moment of the electron’s antiparticle—the positron—could enable new and exceptionally precise fundamental tests. Now a team led by Gerald Gabrielse of Northwestern University in Illinois has realized the first one-positron quantum cyclotron, which can store an individual positron while manipulating its quantized cyclotron and spin states [1]. This achievement opens a path toward a 30-fold improvement in the measurement precision for the positron magnetic moment.
AI designs functional enzyme components that could help expand drug discovery
New active ingredients for drugs to treat infections, cancer or other serious diseases are often based on substances originally discovered in microorganisms, plants or other living organisms. Producing or improving such active ingredients in a targeted manner using microorganisms is often challenging because the underlying biological processes are extremely complex.
Researchers at the Helmholtz Institute for Pharmaceutical Research Saarland (HIPS) have now shown that artificial intelligence can help with this task. Using AI, they developed novel protein building blocks for biological production systems. The researchers published their findings in the journal Nature Communications.
‘Invisible’ tweak could help make protein shakes less clumpy
Scientists from RMIT University and Riga Technical University in Latvia have shown that static charge left on surfaces can be controlled, which may have big benefits for companies needing to avoid the little zap in production of common household goods. The discovery could even one day help stop powders such as protein, chocolate malt powders and coffee from clumping.
Static electricity is usually treated as a hazard to prevent. To reduce it, industry often adds expensive conductive additives as a one-size-fits-all fix. The cost of static discharge is about US$5 billion in the electronics industry alone.
The new study findings, published in the journal Nature Communications, offer a potential solution to this challenge, pointing to surfaces with static charge formation that could be programmed to suit application requirements.
Physicists trap and tame single particle of antimatter for months
For the first time, Northwestern University physicists have coaxed a single positron—the antimatter counterpart of an electron—into an exquisitely controlled quantum state.
After capturing the fast-moving particle from radioactive decay, the scientists cooled it to nearly absolute zero. Then, they suspended the particle in a near-perfect vacuum, preventing it from touching ordinary matter—an encounter that would cause it to vanish.
By trapping and cooling a positron this way, the scientists created what they call a “one-positron quantum cyclotron.” In this state, the positron essentially behaves much like an artificial atom with quantum energy levels scientists can precisely control and observe.
New optogenetic tool inhibits activity in neurons and heart muscle cells
Researchers from Ruhr University Bochum have partnered with colleagues in Göttingen, Berlin, Paris and Essen to develop new optogenetic tools that can selectively inhibit cellular activity through light. These tools could help investigate diseases in which the balance between excitation and inhibition is disrupted, such as cardiac arrhythmias.
The team working alongside Dr. Brix Mücher, Dr. Ida Siveke and professor Stefan Herlitze from the Department of General Zoology and Neurobiology at Ruhr University Bochum, Germany, reports its findings in the journal Science Signaling on Oct. 20, 2026.
Optogenetic tools can be used to activate and deactivate nerve cells via light. In their present study, the researchers coupled a light-sensitive receptor named Opn4L to a modified potassium channel named GIRK1, which activates a G-protein-coupled signaling pathway.
Atomic memory keeps distant ions entangled for about 10 seconds
Quantum networks, systems that connect devices and allow them to exchange information encoded in the quantum states of particles, could enable more secure communications. To build these networks, physicists need to devise strategies that allow distant particles to share quantum states, preserving them long enough to perform calculations or enable communication between devices.
Researchers at the University of Oxford recently realized a quantum network with four qubits (i.e., units of quantum information) encoded in trapped ions distributed between two locations linked by optical fibers. This network, outlined in a paper published in Physical Review Letters, relied on electrically charged atoms held in place by electromagnetic fields, also known as trapped ions.
“The work grew out of our efforts to build a quantum network in which each node can do more than create an entangled link to another node,” Dr. Gabriel Araneda, co-senior author of the paper, told Phys.org.
Laser-made lattice reveals discrete light solitons in tunable atomic vapor
Scientists from the Quantum Technologies Group at the Institute of Physics Zagreb, in collaboration with a colleague from the Physics Department at the Faculty of Science (PMF), have experimentally demonstrated for the first time the existence of discrete one-dimensional (1D) solitons in an optically induced photonic lattice in warm rubidium vapor.
The work was published in Laser & Photonics Reviews.
These results open new possibilities for research in nonlinear optics, photonic lattice physics and complex quantum systems.
Perovskite laser maintains stable performance over 400 million pulses
In a study published in Advanced Optical Materials, researchers at Vilnius University (VU) demonstrated perovskite-based laser structures that maintained stable performance over more than 400 million pulses. Their findings address one of the major challenges limiting the practical use of perovskites: their instability. These semiconductor materials could play an important role in next-generation optical technologies, but their tendency to degrade has long posed a challenge for researchers worldwide.
In some sense, perovskites can be compared to graphene. Like perovskites, graphene spent years being studied in labs because of its potential before industry eventually began using it. Today, it’s widely applied in solar energy, electronics and batteries. Perovskites may hold even greater potential, but they come with a major drawback: they’re highly unstable and degrade quickly in the presence of moisture.
Scientists are putting effort into figuring out how to overcome these hurdles and unlock perovskites’ potential. Among these researchers are Vilnius University doctoral student and junior researcher Abdul Mannan Majeed and Dr. Patrik Ščajev.
Building brain-inspired semiconductor chips for smarter, greener data centers
With artificial intelligence (AI) data centers consuming electricity at a growing rate, identifying a sustainable computing solution to offset these massive community and environmental disruptors is proving critical.
Researchers from the University of Ottawa, Columbia University and Hanyang University believe building brain-inspired computing systems could provide the answer to this global conundrum, with small, fast, energy-efficient and scalable artificial neurons able to support the large-scale computing systems that are now regularly dotting our landscapes.
“The materials and architectures described in this review represent a fundamentally different way to process information. By operating more like a human brain than a traditional processor, these emerging technologies will lead to physical devices that are dramatically more energy-efficient, faster and adaptive,” explained lead author Dr. Kannan Udaya Mohanan, a postdoctoral fellow in professor Chang-Hyun Kim’s research group at uOttawa.