A new quantum-inspired algorithm is reshaping how scientists approach some of the most complex materials known, enabling rapid analysis of structures that were previously beyond computational reach.
A new computational method reveals a faster way to explore intricate quantum systems, pointing toward emerging applications in next-generation computing. Credit: Stock A new quantum-inspired algorithm is reshaping how scientists approach some of the most complex materials known, enabling rapid analysis of structures that were previously beyond computational reach.
Quantum technologies, including quantum computers, rely on materials that display unusual quantum effects under specific conditions. Researchers have found that these properties can also be engineered by adjusting a material’s structure.
For example, stacking and slightly twisting layers ofAs scientists build increasingly intricate layered systems, they reach structures such as quasicrystals and super-moiré materials. The challenge is predicting which designs will be useful. Modeling these materials requires calculating vast amounts of data. In the case of quasicrystals, this can involve more than a quadrillion numbers, far exceeding the limits of even the most powerful supercomputers.have introduced a quantum-inspired algorithm that can handle these massive, non-periodic systems with remarkable speed.
According to Assistant Professor Jose Lado, this work also highlights a growing feedback loop in quantum technology.
“Crucially, these new quantum algorithms can enable the development of new quantum materials to build new paradigms of quantum computers, creating a productive two-way feedback loop between quantum materials and quantum computers,” he explains. Tensor networks can represent functions on ultra-fine grids, which makes them a promising technique for calculating massive quantum materials. Credit: Jose Lado/Aalto University. Tensor networks play a central role in this approach, as they can represent functions across extremely fine computational grids.
This makes them well-suited for analyzing large-scale quantum materials. The findings could lead to dissipationless electronics, which may help reduce the heat generated by AI-driven data centers. The research team was led by Lado and included doctoral researcher Tiago Antão, the study’s lead author, along with QDOC doctoral researcher Yitao Sun and Academy Research Fellow Adolfo Fumega. Their results were published inThe study focused on topological quasicrystals, which host unusual quantum excitations.
These excitations help maintain electrical conductivity by protecting it from noise and interference. However, they are distributed unevenly throughout the material, making them difficult to analyze. Rather than attempting to model the full structure directly, the researchers reformulated the problem using principles similar to those used in“Quantum computers work in exponentially large computational spaces, so we used a special family of algorithms to encode those spaces, known as tensor networks, to compute a quasicrystal with over 268 million sites.
Our algorithm shows how colossal problems in quantum materials can be directly solved with the exponential speed-up that comes from encoding the problem as a quantum many-body system,” Antão says.
“The quantum-inspired algorithm we demonstrated enables us to create super-moiré quasicrystals several orders of magnitude above the capabilities of conventional methods. That is an instrumental step towards designing topological qubits with super-moiré materials for use in quantum computers, for example,” Lado says. According to Lado, the team’s algorithm could be adapted to be injected into a quantum computer.
“Our method can be adapted to run on real quantum computers, once they reach necessary scale and fidelity. In particular, the new AaltoQ20 and the Finnish Quantum Computing Infrastructure can play a significant role for future demonstrations,” Lado says. The findings suggest that designing and understanding complex quantum materials could become one of the first practical uses of quantum algorithms. This work also connects two major areas of quantum research in Finland: materials science and algorithm development.
Reference: “Tensor Network Method for Real-Space Topology in Quasicrystal Chern Mosaics” by Tiago V. C. Antão, Yitao Sun, Adolfo O. Fumega and Jose L. Lado, 13 April 2026,The study is part of Lado’s ERC Consolidator Grant ULTRATWISTROICS, which focuses on creating topological qubits using van der Waals materials. It also contributes to the Center of Excellence in Quantum Materials , which aims to advance quantum technologies in the coming decades.
Ultra-Thin Designer Materials Unlock Elusive Quantum Phenomena With Huge Impact for Quantum ComputingHigher-Order Topology Found in 2D Crystal – “A Variety of Exciting Physics to Be Explored”Millions of People Have Osteopenia Without Realizing It – Here’s What You Need To Know
United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Ice Theatre of New York to debut new pieces during home seasonThe upcoming home season performances from the Ice Theatre of New York on May 1–2 and 4 will include two world premieres.
Read more »
Trump disapproval hits new high as cost concerns, Iran war continue: New pollPresident Donald Trump's disapproval rating hit a record-high 62% in a new poll from The Washington Post as concerns about the economy and Iran continue
Read more »
Taylor Sheridan's Hit New Western Series' Season 3 Return Timeline Gets Major New UpdateBen Schnetzer as Van Davis in The Madison
Read more »
New York court system launches new user-friendly websiteThe New York State Unified Court System (UCS) has officially rolled out its newly reimagined website, marking the courts' first major milestone in its ongoing
Read more »
Scientists control nuclear spin in hydrogen with ice, unlock quantum applicationsUS researchers find a novel way to control nuclear spins of hydrogen molecule using dry ice opening up new quantum applications.
Read more »
Crew Works Advanced Radio Frequency, Quantum Physics, and Health TechThe Expedition 74 crew kicked off the week setting up advanced radio frequency technology, configuring quantum physics hardware, and conducting ultrasound vein scans aboard the International Space Station. The crewmates also prepared for the arrival of the next U.S.
Read more »