🧠 What if quantum computers could revolutionize the way we process data Not just with speed, but with entirely new approaches? At Pasqal, alongside partners like the Universities Space Research Association (USRA) we’re exploring exactly that through Quantum Reservoir Computing (QRC), a promising intersection of machine learning and quantum physics that could transform how we solve some of the trickiest computational challenges, such as forecasting the dynamics of complex systems. 💡 What is Reservoir Computing? It’s a machine learning technique inspired by the brain - which sidesteps computational and energy issues of training neural networks. Instead of training deep networks layer by layer, reservoir computing uses a dynamic system, a “reservoir”, to transform data into a rich, high-dimensional space. The output layer is the only part that needs training, making it efficient and scalable for tasks like time-series prediction, signal classification, or real-time control. ⚛️ Enter Quantum Reservoir Computing (QRC) By leveraging the unique properties of quantum systems, superposition, entanglement, and exponentially large state spaces, we can create reservoirs far more expressive than classical ones. We are investigating if this unique quantum opportunity could open the door to solving problems classical systems struggle with. 🔬 Our approach at Pasqal We combine neutral-atom quantum processors with classical co-processing in a hybrid architecture. The quantum part encodes data into complex quantum states, and evolves them via entangling operations, while the classical part manages memory and learning. Together, in this recent position paper we report on intriguing observations from hardware simulations, for example, predicting chaotic systems like the Lorenz attractor more accurately than when we "switch off" quantum mechanics. 🌎 Why this matters QRC is more than an academic curiosity. It’s a step toward practical, hybrid quantum applications viable both before and after fault-tolerance in quantum computers, where classical and quantum computing work hand-in-hand to process information without large energy consumption and with unexplored potential to beat all other known methods. #QuantumComputing #MachineLearning #Innovation #Quantum
To what extent Pasqal has achieved and improved the legacy and existing systems at Saudi Aramco?
Want to know more? Here is the link to the pre-release for the QRC perspectives paper: https://arxiv.org/abs/2510.01797