The human brain and quantum computers operate on fundamentally different principles, so it is not possible to train the human brain to think like a quantum computer in the same sense.
Quantum computers utilize the principles of quantum mechanics to perform computations. They exploit quantum superposition, entanglement, and interference to process information in ways that can potentially provide computational advantages over classical computers. Quantum computation relies on the manipulation of quantum bits, or qubits, which are quantum analogues of classical bits.
On the other hand, the human brain operates using classical physics and neural networks. While the brain is incredibly complex and capable of sophisticated cognitive processes, it does not inherently operate on the principles of quantum mechanics. The mechanisms of information processing in the brain, such as the firing of neurons and the synaptic connections between them, can be modeled using classical physics and neural network models.
That being said, there is ongoing research in the field of quantum cognition that explores the potential intersection between quantum mechanics and cognitive processes. Quantum cognition investigates whether quantum-like principles can be used to explain certain phenomena in human decision-making and information processing. These investigations focus on using quantum-inspired models to describe aspects of human cognition, but they do not imply that the brain itself operates as a quantum computer.
In summary, while it is not possible to train the human brain to think like a quantum computer, researchers are exploring quantum-inspired models of cognition to gain insights into certain aspects of human decision-making and information processing. The study of quantum cognition is still an active area of research and does not suggest that the brain functions as a quantum computer in the conventional sense.