Previously, quantum computing lacked a dedicated framework for simulating molecular vibrations and deriving infrared spectra. This work introduces a grid-based algorithm, utilising a Split Operator-Qu…
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Previously, quantum computing lacked a dedicated framework for simulating molecular vibrations and deriving infrared spectra. This work introduces a grid-based algorithm, utilising a Split Operator-Qu…
Previously, deploying large quantum neural networks demanded substantial quantum resources. Now, knowledge distillation offers a method to compress these networks, enabling their use on smaller quantu…
Highly regulated industries face LLM challenges, but Artificial Genius is pioneering deterministic models on Amazon SageMaker AI and Nova. Their third-generation approach ensures accurate, reproducibl…
The CMS experiment has, for the first time, investigated quantum entanglement within the decay of Higgs bosons into pairs of Z bosons. Researchers observed that these Z bosons populate all possible po…
Cornell researchers have, for the first time, observed a quantum property of gallium nitride, a semiconductor used in technologies like LED lighting and high-power electronics. This observation of qua…
Researchers at Brown University’s Carney Institute developed a neural network modeling how four-legged animals, like horses, transition between gaits. Published in Neural Computation, this work expand…
NVIDIA OpenShell secures evolving autonomous agents with a trusted infrastructure policy layer, part of the NVIDIA Agent Toolkit. It separates agent behavior from system-level enforcement, preventing …
QphoX and Bluefors collaborated to demonstrate optical control of a superconducting qubit, a technique previously limited to research environments. This work shows compatibility between the QphoX Opti…
Brookhaven National Laboratory is supporting the international Deep Underground Neutrino Experiment (DUNE) collaboration, which involves scientists from over 200 institutions worldwide. The recent DUN…
The CMS experiment studied Higgs boson decays into tau leptons, seeking clues to explain the matter-antimatter imbalance. This analysis probes CP violation, a potential asymmetry ten billion times sma…
SuperQ is strengthening its presence in Europe through a partnership with Fraunhofer ITWM, aiming to develop quantum solutions for industries like manufacturing and logistics. The collaboration will l…
Quantum XChange received a 2026 Globee Award for Cybersecurity, recognized for its Phio TX platform’s innovation in threat defense and contributions to digital security. The platform, designed to secu…
Rigetti Computing researchers created a qubit-efficient algorithm, mapping solutions to entangled wave functions with fewer qubits. This approach aims to overcome limitations of current, small-scale q…
Can a system appear irreversible even without complex interactions or external influence? Previously, the arrow of time demanded environmental entanglement or chaotic behaviour, but new work reveals a…
For years, schemes employing ancilla atoms struggled to both read quantum information and maintain coherence during atom loss. Now, a new toolkit overcomes this limitation, demonstrating repeated, hig…
Previously, designs for photonic quantum memories relied on idealised calculations. Now, modelling realistic signal loss reveals that optimising the shape and size of decoder ‘tiles’ dramatically impr…
The Quantum Matters podcast, from D-Wave, explores how quantum computing is currently being applied to solve complex problems across industries, including automotive manufacturing and retail. Through …
Professor Matthew Schwartz of Harvard guided the Anthropic model Claude through a year’s worth of high-energy theoretical physics calculations in just two weeks, demonstrating its potential. The proje…
Anthropic’s new blog explores how AI is accelerating scientific discovery, with tools now assisting in areas like mathematical proofs and gene relationship identification. This suggests a “compressed …
Computer-aided engineering is evolving toward AI-driven workflows, but these models require substantial, physics-compliant data often limited by simulation costs. NVIDIA Warp is a framework designed t…
Previously, training a neural network to correct quantum errors demanded ever-increasing computational resources as code size grew. Now, a convolutional architecture allows a decoder trained on a smal…
Trapping atoms near optical nanofibers has historically lasted only tens of milliseconds. Now, a single platform sustains these atomic traps for up to 460 milliseconds, a ten-fold increase enabling mo…
Until now, tests for objective reality demanded artificial limits on measurable values, hindering truly natural quantum investigations. Employing independent weak measurements on publicly accessible q…
Insider Brief The term “quantum technology” has entered mainstream discourse with increasing frequency, appearing in government policy documents, corporate strategy announcements, venture capital port…