Researchers from the University of Hong Kong have created a groundbreaking neuromorphic chip that functions at temperatures nearly as cold as absolute zero. This chip mimics the way neurons in the brain send electrical signals, allowing it to control large numbers of qubits—tiny units of information used in quantum computing—with very little energy. Quantum computers require qubits to be kept at extremely low temperatures, around a fraction of a degree above absolute zero, to prevent interference from heat and noise. This is usually done using complex cooling systems that consume a lot of power and produce significant heat, requiring the systems to be physically separated from the qubits. This separation introduces challenges, as it requires extensive cabling to connect the cooling systems to the qubits. This cabling can hinder performance and make building large-scale quantum computers more difficult, as it can lead to instability and fragility. The new neuromorphic chip addresses this by being able to operate at the same ultra-low temperatures as the qubits. Published in Nature Communications, the innovation uses a cryogenic electronic platform with silicon carbide MOSFET transistors, making the circuits thousands of times more energy-efficient than traditional electronics. This significantly reduces the thermal burden on cooling systems and maintains the delicate quantum state of the qubits. Another major benefit of the neuromorphic chip is its ability to process signals very close to the qubits, eliminating the need for long cabling. In traditional quantum computing setups, measurement signals must travel through long cables to a computer at room temperature, which then calculates corrections and sends signals back. This process introduces delays, or latency, which can lead to errors. The new chip, placed just a few millimeters from the qubits, can process information locally, drastically reducing this delay. By minimizing latency, the neuromorphic chip enables real-time error correction, which is essential for creating practical, large-scale quantum computers. Today’s quantum computers contain only a few hundred qubits, but future systems may need millions. This new technology removes one of the major obstacles in achieving that goal, offering a more reliable and scalable path forward for quantum computing.