Pedro Ramos of the PQI, Portuguese Quantum Institute, and colleagues at Quantum Green Co, Physics of Information and Quantum Technologies Group, fLaPMET – Laboratory of Physics for Materials and Emerging Technologies, have identified a potential energetic advantage in quantum computation using superconducting cat qubits. The group analysed the energy consumption of the Semiclassical Quantum Fourier Transform, incorporating quantum error correction mechanisms to provide realistic energy estimations. Their findings reveal how energy usage scales with qubit number and identify key parameters influencing overall consumption. This led to the development of an optimisation method for minimising energy while preserving qubit fidelity. The study demonstrates a quantum energetic advantage, with lower energy consumption, may be achievable for systems exceeding 26 qubits even before a computational advantage is realised, and this benefit persists with realistic cryogenic system constraints. Energetic advantage established for cat qubit systems beyond twenty-six qubits Cat qubit systems now consume less energy than classical systems at above 26 qubits, establishing a potential energetic advantage. Previously, demonstrating energetic benefits required a computational speedup. This reveals potential savings even without faster processing. This 26-qubit threshold is important as it marks the point where quantum systems may become more sustainable than their classical counterparts, a key step for scaling the technology. The implications of this finding are substantial, as the energy demands of quantum computation have long been a significant barrier to widespread adoption. Classical computers, while mature and readily available, are facing increasing energetic limitations as computational demands grow, prompting exploration of alternative paradigms like quantum computing. However, the substantial power requirements of maintaining the delicate quantum states necessary for computation have presented a considerable challenge. The analysis focused on the Semiclassical Quantum Fourier Transform, a key operation in many quantum algorithms, performed on superconducting qubits utilising ‘cat’ states, representing information akin to