The most demanding calculations in quantum chemistry can now be solved with graphics processing unit (GPU) supercomputers. A ...

New educational resources and practical guides are making quantum algorithms more accessible to beginners, while recent breakthroughs in quantum hardware—from spin-qubit readouts to large-scale ...

We are looking for a Doctoral Researcher for Quantum-inspired tensor network machine learning solvers for super-moiré van der Waals materials.

The use of a quantum-inspired algorithm to calculate the unworkably vast potential properties of quantum materials is an ...

Abstract: We present an efficient classical algorithm based on the construction of a unitary quantum circuit for simulating the Isotropic Wave Equation (IWE) in one, two, or three dimensions. Using an ...

Abstract: Synthetic Aperture Radar (SAR) data, characterised by its high-dimensionality and complex spatial correlations, poses significant challenges in terms of efficient processing and meaningful ...

A quantum computer capable of breaking the encryption that secures the internet now seems to be just around the corner. Stunning revelations from two research teams outline how it could happen, with ...

If you have trouble following the instruction below, feel free to join OSCER weekly zoom help sessions. If you're doing deep learning neural network research, tensorflow need no introduction. It is ...

Data sync worker pulling partner APIs and webhooks. This repository is part of the ARQ Lab validation workspace. It contains production-like source layouts, tests, scripts, deploy notes, and ...

Google said that future quantum machines may crack elliptic curve cryptography with fewer resources than previously thought. Researchers have urged a transition to post-quantum cryptography as ...