New quantum algorithm unlocks materials beyond supercomputer limits

Quantum/ File: Science daily

According to Science daily, quantum computers and next-generation quantum technologies rely on special quantum materials that show unusual behavior under specific conditions. By carefully adjusting the structure of these materials, scientists can sometimes generate entirely new quantum properties. One well-known example is graphene: when several layers are stacked and slightly twisted into a moiré pattern, the material can suddenly become superconducting.

Researchers are now designing even more complex structures, such as quasicrystals and super-moiré materials. However, predicting how these advanced materials behave is extremely difficult. Because quasicrystals are mathematically highly complex, simulating them can require calculations involving more than a quadrillion numbers - far beyond the capacity of today’s most powerful supercomputers.

New Quantum-Inspired Algorithm

Scientists at Aalto University’s Department of Applied Physics have created a new quantum-inspired algorithm that can handle these extremely large, non-periodic quantum materials almost instantly. Assistant Professor Jose Lado explains that the work shows how quantum technologies can also be used to advance themselves.

This breakthrough could eventually enable dissipationless electronics - systems that conduct electricity without any energy loss. Such technology could significantly reduce the growing energy demands and heat generation of AI-based data centers.

The research team included doctoral researcher Tiago Antão (lead author), QDOC researcher Yitao Sun, and Academy Research Fellow Adolfo Fumega. Their results were published in Physical Review Letters as an Editor’s Suggestion.

Studying Topological Quasicrystals

The researchers focused on topological quasicrystals, rare materials that produce unusual quantum excitations. These excitations are important because they help maintain electrical conductivity by protecting it from noise and interference. However, they are unevenly distributed across the already highly complex structure of quasicrystals.

Instead of calculating the full material directly, the team reformulated the problem using methods inspired by quantum computing technique