Q-Nerve: An Alternative Route to Propagate Signal of A Damaged Nerve Using Quantum Networking Kazi Sinthia Kabir, Iftakhar Ahmad, Akhter Al Amin, Tanzila Choudhury, Maruf Zaber, and A.B.M Alim Al Islam Department of CSE, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh Email: {sinthia.096, ifty58, farhanbuet09, choudhury.trina, maruf.zaber.09}@gmail.com, alim razi@cse.buet.ac.bd Abstract—Even though alternate route for a damaged nerve has been a matter of great interest for a long period of time, classical approaches still experience several limitations and sometimes become hazardous to living bodies. Besides, existing literature points out that there are many nerve signals that are not amenable to classical explanation, however can be ameanable to quantum explanations. By addressing these two points, we propose a new solution to propagate signal of a damaged nerve using quantum networking. We name this new solution Q-Nerve. Our proposed Q-Nerve system creates an artificial connection between brain and other organs to bypass a damaged nerve. Subsequently, we propose a more sophisticated version of Q-Nerve that aims to expliot the synergy between the ability of quantum computing to accumulate neural signal and the ability of quantum networking to pass the signal instantaneously. Further, we can extend the proposed solution for other brain and nerve related problems that require numerous logical computations. I. I NTRODUCTION Brain and nerves form a complete network of a living body system. Any damage to brain and nervous system may result in partial or total paralysis. Classical technology such as ethernet- based networking, that has been applied as an alternative route to bypass damaged nerves, has several major limitations such as limiting patient’s movement, difficult-to-maintain, etc. Besides, use of wireless-networking can be hazardous for any living body. On the other hand, many biological processes are not amenable to classical explanation. Such processes can be explained using quantum explanation. Therefore, we exploit the power of quantum computing for developing an alternate route to bypass a damaged nerve. We name our proposed mechanism Q-Nerve. In Q-Nerve, the nerve signals generated by brain are converted to classical bits using existing classical solutions, which are then converted to Qubits. Qubits are then transmitted through a quantum network, to a receiver device placed at the paralyzed part of the body. After receiving the Qubits, they are converted to classical bits to generate appropriate nerve signals in the paralyzed organ. In such a system, consistency between the proposed solution and the environ- mental constraints of the living body system is very important. We pointed out consistency issues in this paper. Consequently, we make the following contributions: 1) We present a theoretical approach for bypassing signal of a damaged nerve utilizing some features of quantum computing and quantum networking, and 2) We introduce a possible improved version of this system for future work. II. BACKGROUND AND MOTIVATION Nerves, along with the brain, form a network carrying neural signal in a living body. Any damage to this network might result in partial or total paralysis. Despite some limitations, several solutions based on classical technology have been applied to nerve damage. Existing solutions include autonomous head-mounted electrophysiol- ogy system [1], artificial ethernet connection between the brain and muscles, etc. However, electrophysiology system limits independence of head’s positioning, body posture, and range of motion [1]. On the contrary, the artificial connection using ethernet do not experience satisfactory accuracy, and it is difficult to implement in a human body [2]. Though wireless connection could be considered as a potential solution, its electromagnetic waves can have some adverse effects in a human body. Morever, some nerve cells may contain information which is a combination of two or more nerve signals. Such a combination of signals mimic the notion of superposition states when classical computation cannot handle, however, quantum computation can do. In Fig. 1. Proposed Q-Nerve System fact, quantum computation has the potential to provide understanding of certain biological processes that are not amenable to classical explanations [3]. Quantum computation can, therefore, be a solution to propagate signals of a damaged nerve. III. ALTERNATE ROUTE USING QUANTUM NETWORKING : Q-NERVE We briefly elaborate our proposed system Q-Nerve in this sec- tion.Here, we first present a theoretical overview, and then environ- mental constraints of Q-Nerve. A. Theoretical Overview of Q-Nerve In Q-Nerve, a neural signal is converted to classical bits, which are subsequently converted to Qubit. A Qubit transmitter placed inside the brain transmits the Qubits and a receiver placed in corresponding organ recieves them. Finally, received Qubits are converted to neural signal and supplied to the organ. The overview of the system is presented in Figure 1. We briefly explain its main three building blocks next. 1) Theoretical Basis of Converting Neural Signal to Qubits: In this system we exploit Superdense Coding scheme, a method of utilizing shared Quantum Entanglement to increase the rate at which information may be sent through a noiseless Quantum Channel [4]. If the senders Qubit is maximally entangled with a Qubit in the receiver’s possession, then Superdense Coding increases the maximum rate to two bits per Qubit. The process starts out with an EPR (Einstein, Podolsky, Rosen) pair that is shared between the sender (Alice) and receiver (Bob) as |Ψ〉 = 1 √ 2 (|00〉 + |11〉) Here, the first Qubit belongs to Alice, the second one belongs to Bob. Alice first performs a single X, Y, and Z gate operation on her Qubit to send a two bit message to Bob. She applies I (i.e., does nothing) for a message 00, X for a message 01, Z for a message 10, iY (i.e. both X and Z) for a message 11. For Example, to send message 01 Alice applies X gate [5]: 0 1 1 0 1 √ 2 (|00〉 + |11〉)= 1 √ 2 (|10〉 + |01〉)= |Ψ01〉