Litcius/Paper detail

Optimized noise-assisted simulation of the Lindblad equation with time-dependent coefficients on a noisy quantum processor

José D. Guimarães, Antonio Ruiz-Molero, James Lim, M. I. Vasilevskiy, Susana F. Huelga, Martin B. Plenio

2024Physical review. A/Physical review, A10 citationsDOIOpen Access PDF

Abstract

Noise in quantum devices is generally considered detrimental to computational accuracy. However, the recent proposal of noise-assisted simulation has demonstrated that noise can be an asset in digital quantum simulations of open systems on noisy intermediate-scale quantum (NISQ) devices. In this context, we introduce an optimized decoherence rate control scheme that can significantly reduce computational requirements by multiple orders of magnitude, in comparison to the original noise-assisted simulation. We further extend this approach to encompass Lindblad equations with time-dependent coefficients, using only quantum error characterization and mitigation techniques. This extension allows for the perturbative simulation of non-Markovian dynamics on NISQ devices, eliminating the need for ancilla qubits or midcircuit measurements. Our contributions are validated through numerical experiments on an emulated IBM Quantum device. Overall, our paper offers valuable optimizations that bring current quantum processors closer to effectively simulating realistic open systems.

Topics & Concepts

Noise (video)QuantumStatistical physicsMaster equationComputer sciencePhysicsApplied mathematicsMathematicsQuantum mechanicsArtificial intelligenceImage (mathematics)Neural Networks and Reservoir ComputingQuantum Computing Algorithms and ArchitectureNeural Networks and Applications