Closed-Loop CBRAM Crossbar System Toward Hardware Acceleration of Quantum Algorithms

Quantum computing is a compelling new technology that is becoming increasingly practical as time progresses. Quantum computers have the potential to solve problems of great complexity and magnitude across many different industries, utilizing appropriate quantum algorithms. Given the evolving stage of quantum computing, characterized by a limited number of operational quantum computers that demand extensive cooling, face decoherence issues, and incur significant fabrication costs, there exists a pronounced need for quantum computer simulators. In this work, a reconfigurable closed-loop CBRAM crossbar system has been developed for the execution and acceleration of quantum algorithm simulation, leveraging analog in-memory computing. The circuit supports a universal set of quantum gates representation, and through its reprogramming capabilities and feedback loop, can compute any quantum algorithm. To demonstrate its functionality, the 3-qubit Grover algorithm is executed on the proposed circuit. Building on the extensive circuit simulation, a comparative analysis of power and speed between the proposed nanoelectronic circuit and conventional hardware has been conducted, demonstrating the high efficiency and performance gains, followed by a scalability analysis. Furthermore, a framework has been developed that supports the design of custom closed-loop memristive crossbars through a graphical user interface (GUI), providing the user with the capability to execute quantum algorithms and examine the programming and computations of the circuit, assisting with the realization of a hardware prototype.