Can Molecular Quantum Computing Bridge Quantum Biology and Cognitive Science?

Recently, quantum biology and molecular quantum computation have attracted substantial attention. Quantum biology applies quantum mechanics to biological systems at the molecular scale. Molecular quantum computing explores the degrees of freedom of molecules that can be used to produce quantum coherence, such as charge, orbital, opto-spin (interplay between optical excitation and spin), vibration, and rotation, to process quantum information. Cognitive science focuses on understanding how learning processes are realized, particularly within the human brain. The most common topic among these three is the computational process, which can exploit different levels of representation, either classical or quantum. Here, we review progress in quantum biology, molecular quantum computing, and quantum theory in cognitive science. Based on our critical analysis and review, we highlight that molecular quantum computing could be an important bridging research area between quantum biology and a deeper understanding of neuronal cells in cognitive science. Thus, these three areas can be the core to understanding how the classical world emerges from the quantum world and human intelligence. To answer these questions, we may gain insight by studying the quantum processes that underlie biological systems, such as photosynthesis and enzyme catalysis. An unprecedented opportunity for molecular quantum computing is to perform functionalities similar to those of the human brain. In this manner, we could not only expand the boundaries for quantum computing but also gain a better understanding of cognitive processes.