Developing quantum nanocomputing for pervasive health environments

A model of quantum information processing is proposed for applications in health-care and assistive environments. It uses implanted nano-chips which could incorporate quantum computing technology and make use of the advantages of high computing and large memory capacity of a quantum system to the data storage procedure of a medical sensor. Quantum information and its storage has not yet been physically demonstrated due to the problem of decoherence that dominates such quantum systems. Fault-tolerant quantum error-correction (QEC) circuits have done great efforts to reduce the noise level. In this work a QEC circuit simulator is proposed which takes into consideration the memory noise and the gate noise produced during the evolving process of qubits. For any computational step the probability crash is estimated under different error rates and various parameters. A case study is presented involving data recorded by a pacemaker.