Litcius/Paper detail

Quantum Memristors with Quantum Computers

Yi Guo, F. Albarrán-Arriagada, Hadiseh Alaeian, E. Solano, G. Alvarado Barrios

2022Physical Review Applied10 citationsDOIOpen Access PDF

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.

Topics & Concepts

MemristorQubitQuantum computerComputer scienceQuantumNeuromorphic engineeringIBMSet (abstract data type)Quantum mechanicsPhysicsArtificial neural networkArtificial intelligenceProgramming languageOpticsAdvanced Memory and Neural ComputingNeural Networks and Reservoir ComputingNeural dynamics and brain function