Quantum Memristors with Quantum Computers

ABSTRACT

We propose the encoding of memristive quantum dynamics on a digital quantum computer. Using a set of auxiliary qubits, we simulate an effective non-Markovian environment inspired by a collisional model, reproducing memristive features between expectation values of different operators in a single qubit. We numerically test our proposal in an IBM quantum simulator with 32 qubits, obtaining a pinched hysteresis curve that characterizes our quantum memristor model. Furthermore, we extend our method to the case of two coupled quantum memristors, opening the door to the study of neuromorphic quantum computing in the current noisy devices.

DETAILS
  • Research Type Article
  • RESEARCH YEAR 2022
  • Journal Name Physical Review Applied
  • Authors Y.-M. Guo, F. Albarrán-Arriagada, H. Alaeian, E. Solano, and G. A. Barrios
  • DOI 10.1103/PhysRevApplied.18.024082