Researchers at the University of Sydney have successfully performed a quantum simulation of chemical dynamics with real molecules for the first time, marking a significant milestone in the application of quantum computing to chemistry and medicine.
Understanding in real time how atoms interact to form new compounds or interact with light has long been expected as a potential application of quantum technology. Now, quantum chemist Professor Ivan Kassal and Physics Horizon Fellow Dr Tingrei Tan, have shown it is possible using a quantum machine at the University of Sydney.
The innovative work leverages a novel, highly resource-efficient encoding scheme implemented on a trapped-ion quantum computer in the University of Sydney Nanoscience Hub, with implications that could help transform medicine, energy and materials science.
University of Sydney scientists have made a big step towards future design of treatments for skin cancer or improved sunscreen by modelling photoactive chemical dynamics with a quantum computer.
Developing technology that allows quantum information to be both stable and accessible is a critical challenge in the development of useful quantum computers that operate at scale. Research published in the journal Nature provides a pathway for scaling the number of quantum transistors (known as qubits) on a chip from current numbers under 100 to the millions needed to make quantum computation a practical reality. The result is enabled by new cryogenic control electronics that operate at close to absolute zero, developed at the University of Sydney.
Lead researcher Professor David Reilly from the University of Sydney Nano Institute and School of Physics said, “This will take us from the realm of quantum computers being fascinating laboratory machines to the stage where we can start discovering the real-world problems that these devices can solve for humanity.”
The paper is the result of industry cooperation between the University of Sydney and the University of New South Wales through the respective quantum tech spin-out companies Emergence Quantum and Diraq. Professor Reilly’s company, Emergence Quantum, was established this year to commercialize quantum control technologies and other advanced electronics like the chip presented in this Nature paper.
It can be found inside gas giants such as Jupiter and is briefly created during meteorite impacts or in laser fusion experiments: warm dense matter. This exotic state of matter combines features of solid, liquid and gaseous phases. Until now, simulating warm dense matter accurately has been considered a major challenge.
An international team led by researchers from the Center for Advanced Systems Understanding (CASUS) at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) in Germany and Lawrence Livermore National Laboratory (LLNL) has succeeded in describing this state of matter much more accurately than before using a new computational method. The approach could advance laser fusion and help in the synthesis of new high-tech materials.
The team presents its results in the journal Nature Communications.
Landauer’s principle is a thermodynamics concept also relevant in information theory, which states that erasing one bit of information from an information system results in the dissipation of at least a specific amount (i.e., kBTln2) of energy. This principle has so far been primarily considered in the context of classical computers and information processing systems.
Yet researchers at TU Vienna, the Freie Universität Berlin, the University of British Columbia, the University of Crete and the Università di Pavia recently extended Landauer’s principle to quantum many-body systems, systems made up of many interacting quantum particles.
Their paper, published in Nature Physics, introduces a viable approach to experimentally probe this crucial principle in a quantum regime and test theoretical predictions rooted in quantum thermodynamics.
Engineers at the University of California San Diego have achieved a long-sought milestone in photonics: creating tiny optical devices that are both highly sensitive and durable—two qualities that have long been considered fundamentally incompatible.
This rare coexistence of sensitivity and durability could lead to a new generation of photonic devices that are not only precise and powerful but also much easier and cheaper to produce at scale. This could open the door to advanced sensors and technologies ranging from highly sensitive medical diagnostics and environmental sensors to more secure communication systems, all built into tiny, chip-scale devices.
Achieving both properties has been a challenge because devices that are sensitive enough to detect tiny changes in their environment are often fragile and prone to breaking down if even the smallest imperfections arise during manufacturing. This makes them expensive and difficult to produce at scale. Meanwhile, making such devices more rugged often means compromising their precision.
IN A NUTSHELL 🔬 MIT researchers have developed a superconducting diode-based rectifier that converts AC to DC on a single chip. 💡 This innovation could streamline power delivery in ultra-cold quantum systems, reducing electromagnetic noise and interference. 🔍 The technology is crucial for enhancing qubit stability and could significantly impact dark matter detection circuits at
Scientists from TU Delft (The Netherlands) have observed quantum spin currents in graphene for the first time without using magnetic fields. These currents are vital for spintronics, a faster and more energy-efficient alternative to electronics. This breakthrough, published in Nature Communications, marks an important step towards technologies like quantum computing and advanced memory devices.
Quantum physicist Talieh Ghiasi has demonstrated the quantum spin Hall (QSH) effect in graphene for the first time without any external magnetic fields. The QSH effect causes electrons to move along the edges of the graphene without any disruption, with all their spins pointing in the same direction.
“Spin is a quantum mechanical property of electrons, which is like a tiny magnet carried by the electrons, pointing up or down,” Ghiasi explains. “We can leverage the spin of electrons to transfer and process information in so-called spintronics devices. Such circuits hold promise for next-generation technologies, including faster and more energy-efficient electronics, quantum computing, and advanced memory devices.”
We rarely think about how liquids flow—why honey is thick, water is thin or how molten plastic moves through machines. But for scientists and engineers, understanding and predicting the viscosity of materials, especially polymers, is essential.
Viscosity governs how substances deform and flow under stress, which in turn affects how they are processed, how they behave in industrial pipelines, in environmental settings, or in consumer products, and how they respond to changing temperatures.
Traditionally, to calculate the viscosity of a liquid or polymer melt based on molecular simulations on computers, people rely on a method called the Green–Kubo formalism. It works by tracking how internal stresses fluctuate and decay over time inside a simulated material at thermodynamic equilibrium.