ORCID
- Miranda, Eduardo: 0000-0002-8306-9585
Abstract
We report on the first proof-of-concept system demonstrating how one can control a qubit with mental activity. We developed a method to encode neural correlates of mental activity as instructions for a quantum computer. Brain signals are detected utilizing electrodes placed on the scalp of a person, who learns how to produce the required mental activity to issue instructions to rotate and measure a qubit. Currently, our proof-of-concept runs on a software simulation of a quantum computer. At the time of writing, available quantum computing hardware and brain activity sensing technology are not sufficiently developed for real-time control of quantum states with the brain. But we are one step closer to interfacing the brain with real quantum machines, as improvements in hardware technology at both fronts become available in time to come. The paper ends with a discussion on some of the challenging problems that need to be addressed before we can interface the brain with quantum hardware.
Publication Date
2022-01-05
Publication Title
International Journal of Unconventional Computing
Volume
17
Issue
3
ISSN
1548-7199
Embargo Period
2022-02-19
Organisational Unit
School of Art, Design and Architecture
Keywords
Brain-Computer Interface, Computer Science, Neuroscience, Quantum computing
Recommended Citation
Miranda, E., Venkatesh, S., Martin-Guerrero, J., Hernani-Morales, C., Lamata, L., & Solano, E. (2022) 'An approach to interfacing the brain with quantum computers: practical steps and caveats', International Journal of Unconventional Computing, 17(3). Retrieved from https://pearl.plymouth.ac.uk/ada-research/126
