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Artículo
An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats
Autor/es | Miranda, E.R.
Venkatesh, S. Martín Guerrero, José D. Hernani Morales, C. Lamata Manuel, Lucas Solano, Enrique |
Departamento | Universidad de Sevilla. Departamento de Física Atómica, Molecular y Nuclear |
Fecha de publicación | 2022 |
Fecha de depósito | 2022-02-18 |
Publicado en |
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Resumen | 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. ... 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 utilising 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. |
Agencias financiadoras | Ministerio de Ciencia, Innovación y Universidades (MICINN). España Junta de Andalucía |
Identificador del proyecto | PID2019-104002GB-C21
P20-00617 2019SHZDZX01-ZX04 20DZ2290900 |
Cita | Miranda, E.R., Venkatesh, S., Martín Guerrero, J.D., Hernani Morales, C., Lamata Manuel, L. y Solano, E. (2022). An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats. International Journal of Unconventional Computing, 17 (3), 159-171. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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IJUCv17n3p159-171Miranda.pdf | 174.0Kb | [PDF] | Ver/ | |