Journal Article

FZJ-2022-03844

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Pulse-level noisy quantum circuits with QuTiP

Li, B. (Corresponding author)FZJ* ; Ahmed, S. (Corresponding author)Extern* ; Saraogi, S.Extern* ; Lambert, N.Extern* ; Nori, F.Extern* ; Pitchford, A.Extern* ; Shammah, N. (Corresponding author)Extern*

2022
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften Wien

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Please use a persistent id in citations: http://hdl.handle.net/2128/32136  doi:10.22331/q-2022-01-24-630

Abstract: The study of the impact of noise on quantum circuits is especially relevant to guide the progress of Noisy IntermediateScale Quantum (NISQ) computing. In this paper, we address the pulse-level simulation of noisy quantum circuits with the Quantum Toolbox in Python (QuTiP). We introduce new tools in qutip-qip, QuTiP’s quantum information processing package.These tools simulate quantum circuits at the pulse level, leveraging QuTiP’s quantum dynamics solvers and control optimization features. We show how quantum circuits can be compiled on simulated processors, with control pulses acting on a target Hamiltonian that describes the unitary evolution of the physical qubits. Various types of noise can be introduced based on the physical model, e.g., by simulating the Lindblad densitymatrix dynamics or Monte Carlo quantum trajectories. In particular, the user can define environment induced decoherence at the processor level and include noise simulation at the level of control pulses. We illustrate how the DeutschJozsa algorithm is compiled and executed on a superconducting-qubit-based processor, on a spin-chain-based processor and using control optimization algorithms. We also show how to easily reproduce experimental results on cross-talk noise in an ion-based processor, and how a Ramsey experiment can be modeled with Lindblad dynamics. Finally, we illustrate how to integrate these features with other software frameworks.

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Contributing Institute(s):

1. Quantum Control (PGI-8)

Research Program(s):

1. 5221 - Advanced Solid-State Qubits and Qubit Systems (POF4-522) (POF4-522)

Appears in the scientific report 2022

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