Aalto University researchers develop quantum-inspired algorithm for quasicrystals
Updated
Updated · SciTechDaily · May 4
Aalto University researchers develop quantum-inspired algorithm for quasicrystals
4 articles · Updated · SciTechDaily · May 4
The method solved topological quasicrystals with more than 268 million sites, using tensor networks to tackle calculations that can exceed a quadrillion numbers.
Published in Physical Review Letters, the simulation-based study could help design super-moiré materials, topological qubits and dissipationless electronics that reduce heat from AI data centres.
Led by Jose Lado and Tiago Antão, the team said the algorithm may later run on quantum computers, including Finland's AaltoQ20 and national quantum computing infrastructure.
Could this quantum-inspired algorithm truly revolutionize the discovery of new materials before quantum computers become mainstream?
What breakthroughs in quantum hardware are still needed before these algorithms can solve real-world energy and data center challenges?
Aalto University Achieves Record Quantum Simulation of Over 268 Million Atomic Sites with Novel Tensor Network Algorithm
Overview
In April 2026, Aalto University developed a groundbreaking quantum-inspired tensor network algorithm that set a world record by simulating a quasicrystal with over 268 million atomic sites. This breakthrough enables the design of dissipationless electronics, which can drastically reduce energy waste in AI data centers. The algorithm is also designed to integrate with emerging quantum hardware, supporting advanced studies on platforms like the Helmi quantum computer. Meanwhile, the European Union plans the EU Quantum Act to unify research and industry efforts, promoting ethical standards and accelerating innovation. Together, these advances pave the way for sustainable quantum technologies and fault-tolerant quantum computing.