Discovering the Neural Correlates of Polyrhythmic Music Processing
The study investigated the neural processing involved in polyrhythmic music as a possible therapy for attention control. Polyrhythms involve the concurrence of two different rhythms simultaneously, such as a three-beat pattern superimposed on a four-beat pattern. The researchers found that entrainment models involving oscillators would involve adaptation to multiple simultaneous rhythms; thus, the additional overlay of rhythms involved in polyrhythms would create complexities in the rhythm that aid in restoring the brain’s neural processing.
Using electroencephalography (EEG) to measure neural responses and activity in the frontal and parieto-temporal regions, the researchers found that polyrhythmic music effectively alters the noise by inserting random gates into a quantum circuit. This randomness can produce the desired outcome after averaging over many circuit evaluations, keeping the circuit logically equivalent and not extending the circuit length. Unlike other error mitigation methods, it can be adapted to many different types of quantum circuits.
Quantum Circuit Simulations and Error Mitigation Techniques
The researchers found that polyrhythmic music effectively alters the noise by inserting random gates into a quantum circuit. This randomness can produce the desired outcome after averaging over many circuit evaluations, keeping the circuit logically equivalent and not extending the circuit length. Unlike other error mitigation methods, it can be adapted to many different types of quantum circuits.
The researchers simulated this random circuit (RC) on coherent and stochastic noise using the Python library Qiskit and IBM’s free online quantum computers. They found that RC reduced the overall error, with the error for the bare circuit without RC growing exponentially as circuit depth increased, while the error for the RC circuit grew linearly.
Physiological Effects of Polyrhythmic Music on Cognitive Performance
The researchers found that polyrhythmic music effectively alters the noise by inserting random gates into a quantum circuit. This randomness can produce the desired outcome after averaging over many circuit evaluations, keeping the circuit logically equivalent and not extending the circuit length. Unlike other error mitigation methods, it can be adapted to many different types of quantum circuits.
The researchers simulated this random circuit (RC) on coherent and stochastic noise using the Python library Qiskit and IBM’s free online quantum computers. They found that RC reduced the overall error, with the error for the bare circuit without RC growing exponentially as circuit depth increased, while the error for the RC circuit grew linearly. Additionally, participants who listened to a continuous 4:3 polyrhythmic melody with variances in tonal patterns while copying a passage from a book showed comparative increases in pre-frontal beta waves and decreases in alpha waves, indicating an increase in focus while the polyrhythmic music was played.