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Nanoengineered materials can store and release hydrogen at room temperature
June 1, 2026 feature Nanoengineered materials can store and release hydrogen at room temperature Ingrid Fadelli Author Sadie Harley Scientific Editor Robert Egan Associate Editor Energy engineers worldwide are working on various new technologies that could help to limit greenhouse gas emissions on Earth and address climate change. One proposed alternative to polluting fossil fuels, such as petrol, diesel and natural gas, is hydrogen. Hydrogen is a clean fuel that can be used to power fuel...
Resource-efficient energy-based operator selection in fermionic ADAPT-VQE via exact Hamiltonian transformation
arXiv:2606.04786v1 Announce Type: cross Abstract: The energy-based approach to operator selection in ADAPT-VQE relies on reconstructing the one-parameter energy landscape for each operator in the pool. In fermionic implementations, the cost of reconstructing this energy landscape often becomes a bottleneck. We address this issue through an exact Hamiltonian transformation that reformulates the one-parameter energy landscape according to a generator-dependent fragmentation of the transformed...
Experimental validation of a fast control-oriented, physics-informed surrogate model for plasma equilibrium reconstruction in the TCV tokamak
arXiv:2606.09487v1 Announce Type: new Abstract: Magnetic equilibrium reconstruction provides the plasma state estimate required for real-time shape control in tokamaks. We present a fast, physics-informed neural network surrogate of the \texttt{liuqe} equilibrium reconstruction code \cite{liuqe1} for the TCV tokamak at EPFL, achieving inference times below 100~$\bm\mu$s and enabling 10~kHz shape control. The model is trained on around 10,000 TCV discharges spanning the full operational range...
Graph Neural Networks for Fast Operator Selection in Adaptive VQE
arXiv:2606.08794v1 Announce Type: cross Abstract: Adaptive variational quantum algorithms like ADAPT-VQE construct tailored ans\"atze by iteratively selecting operators from a pool using gradient-based criteria. While this avoids oversized parameter spaces, repeatedly scanning the full pool incurs a classical cost that scales linearly with pool size-a major bottleneck for systems with long-range interactions or large operator sets. Here, we reformulate adaptive operator selection as a...