Novel STM Technique Confirms UTe₂ as Topological Superconductor for Quantum Chips

Accelerating the arrival of fault-tolerant quantum computers with next-generation materials

A research study led by Oxford University has developed a powerful new technique for finding the next generation of materials needed for large-scale, fault-tolerant quantum computing. This could end a decades-long search ...

New quantum visualization technique to identify materials for next generation quantum computing

Scientists have developed a powerful new tool for finding the next generation of materials needed for large-scale, fault-tolerant quantum computing. The significant breakthrough means that, for the first time, researchers have found a way to determine once and for all whether a material can effectively be used in certain quantum computing microchips.

Pair wave function symmetry in UTe2 from zero-energy surface state visualization

New discovery reveals how uranium could boost quantum computer power

UCC scientists have confirmed Uranium ditelluride (UTe₂) as an intrinsic topological superconductor using a groundbreaking STM technique.

Quantum visualization technique confirms UTe₂ is an intrinsic topological superconductor

Scientists at University College Cork (UCC) in Ireland have developed a powerful new tool for finding the next generation of materials needed for large-scale, fault-tolerant quantum computing.

Quantum Machine Learning Predicts Suitability Of HHL Algorithm For Equations

Recent research indicates machine learning classifiers, specifically multi-layer perceptrons, can effectively predict the suitability of linear systems of equations for solution via the Harrow-Hassidim-Lloyd (HHL) quantum algorithm, contingent upon training with representative data reflecting the matrix properties of the system, offering a pathway to optimise quantum resource allocation as fault-tolerant quantum computers approach maturity.**Fac…