Researchers demonstrate a novel method to simulate a complex theoretical model of interacting particles, known as chiral BF theory, using a ring-shaped Bose gas, revealing a connection between the system’s density and a measurable, density-dependent magnetic flux.

Researchers have created a new Python library, TeMFpy, that efficiently transforms complex quantum states into a format suitable for simulating the behaviour of strongly correlated electron systems, including exotic materials like spin liquids, and integrates with existing quantum simulation tools.

Researchers demonstrate a fundamental trade-off between the ability of error correction codes to fix mistakes and the difficulty of creating the initial, complex quantum states needed for these codes, revealing inherent limitations in building robust quantum computers.

Researchers demonstrate that combining organic and inorganic materials at the atomic level creates new properties and allows precise control over light and energy, paving the way for advanced optoelectronic devices.

Researchers have developed a new method to directly measure a key property of exotic materials exhibiting chiral topological order, confirming theoretical predictions and offering a powerful tool for studying strongly correlated magnets.

Researchers have created a compact optical device that efficiently generates exceptionally broad bandwidth photon pairs, achieving record brightness and paving the way for advancements in quantum technologies and optical communications.

Researchers have created the first compact, electrically powered laser on a lithium niobate chip that generates ultra-short pulses of light lasting only 1.

Scientists demonstrate a fundamental principle governing entanglement in extended systems, revealing that even a slight increase in temperature eliminates the infinite entanglement typically found in critical states of one-dimensional materials.

Scientists demonstrate that heating processes occur more rapidly and stably than cooling because higher entropy production during heating suppresses fluctuations in heat transfer, revealing a fundamental principle governing how systems reach equilibrium.

Researchers have devised a new form of digital currency that allows users to definitively detect and prevent tracking by the issuing authority, achieving unconditional security without relying on long-term memory or compromising user privacy.

Discover Aliro's groundbreaking product roadmap for quantum networking, featuring secure communications, cloud-based design tools, and satellite-based solutions to revolutionize the future of quantum technology.

Researchers demonstrate that new multiplexing strategies, which combine signals from multiple noisy network devices, overcome speed limitations in quantum networks and pave the way for practical, high-performance many-qubit applications.

QuantWare’s Contralto-A QPU wins the Quantum Effects Award 2025 for its leading quantum error correction, recognized as the best quantum hardware in the industry.

Researchers have developed a mathematical framework and network simulator to optimise entanglement distribution in quantum networks, revealing that classical communication delays significantly limit the performance of satellite-based quantum communication systems.

Researchers demonstrate that despite their complexity, circle graph states are not suitable as a universal resource for a promising new type of computation called measurement-based quantum computation, establishing a crucial limitation for this approach and revealing a connection to the behaviour of fermionic Gaussian states.

Researchers developed a method using tools from topology to characterise the fluctuating structure of spacetime, revealing distinct patterns in two dimensions that may explain how smooth spacetime emerges from a more chaotic underlying reality.

AI now prescribes cancer treatments with precision: Tempus Labs’ FDA-approved system identified a rare ALK mutation in a lung cancer patient, enabling a drug that shrank her tumor in weeks. PathAI’s proton therapy planning cuts radiation mapping from 10 hours to 90 minutes, while Explainable AI tools like SHAP values and LIME demystify diagnoses, boosting physician trust. Federated learning and the Digital Health Pre-Cert Program are tackling bias and regulatory gaps, but attention maps reveal some AI still prioritizes irrelevant data. How will these technologies reshape oncology—and who ensures they don’t widen health disparities?

Researchers demonstrate that artificial atoms linked to a waveguide can perform complex quantum operations with exceptionally high accuracy, exceeding 99.

Researchers demonstrate a fundamental limit to the design of error-correcting codes for computation, proving that simultaneously achieving high speed, strong error protection, and efficient processing of encoded information is mathematically impossible

Researchers significantly improve the accuracy and efficiency of computer simulations used to design materials for capturing carbon dioxide, paving the way for better technologies to reduce emissions from industries like steel and chemicals.

Researchers demonstrate a new method for building faster, more reliable quantum computers using three-level quantum systems, successfully suppressing common errors through precisely tailored control pulses and paving the way for scalable holonomic quantum gates

Researchers utilise a mathematical technique originally developed for data analysis to investigate the fundamental structure of spacetime, revealing evidence that it may indeed possess a foam-like quality at the smallest scales.

Scientists demonstrate that a specific theoretical framework successfully generates a universe mirroring observed cosmology without requiring an explicit cosmological constant, and further constructs a complete, regular spacetime that expands the possibilities for testing the theory with astronomical observations.

Researchers have developed a method to create quantum circuits for complex entangled states using random numbers, offering a practical way to process information without needing to store vast amounts of data

Researchers have created a novel three-dimensional memory system, based on a complex, disordered code and a unique tiling pattern, that demonstrates increasing stability and longevity as its size grows, representing a significant step towards practical, self-correcting quantum memories