Quantum reservoir networks based on decoherence-free subspaces
V. V. Akshay, M. V. Altaisky, N. E. Kaputkina
We present numerical simulation of a six-qubit quantum reservoir network with an output implemented on a 5-dimensional decoherence-free subspace (DFS), working as a classifier between entangled and product states of the input quantum system, fed to the reservoir during a finite learning time. Since the dynamics of DFS is not affected by external fluctuations, no cooling is required, and the proposed model seems a promising candidate for future quantum artificial intelligence systems working at room temperatures and free of huge energy consumption.
quant-pharXiv:2605.27427•May 22, 2026•0 citations