Pulse-level noisy quantum circuits with QuTiP

Li, Boxi; Ahmed, Shahnawaz; Saraogi, Sidhant; Lambert, Neill; Nori, Franco; Pitchford, Alexander; Shammah, Nathan

doi:10.22331/q-2022-01-24-630

Title: Pulse-level noisy quantum circuits with QuTiP

Journal Article · 23 January 2022 · Quantum

DOI: https://doi.org/10.22331/q-2022-01-24-630 · OSTI ID:1867840

^[1];

^[2]; Saraogi, Sidhant ^[3];

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Forschungszentrum Jülich GmbH (Germany); Unitary Fund
Chalmers Univ. of Technology, Gothenburg (Sweden)
Georgetown Univ., Washington, DC (United States)
RIKEN Cluster for Pioneering Research, Saitama (Japan)
RIKEN Cluster for Pioneering Research, Saitama (Japan); RIKEN Center for Quantum Computing (RQC), Saitama (Japan); Univ. of Michigan, Ann Arbor, MI (United States)
Aberystwyth Univ., Wales (United Kingdom)
Unitary Fund, Walnut, CA (United States)

The study of the impact of noise on quantum circuits is especially relevant to guide the progress of Noisy Intermediate-Scale 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 density-matrix 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 Deutsch-Jozsa 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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Research Organization:: Unitary Fund, Walnut, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

Grant/Contract Number:: SC0020266

OSTI ID:: 1867840

Journal Information:: Quantum, Journal Name: Quantum Vol. 6; ISSN 2521-327X

Publisher:: Quantum Science Open CommunityCopyright Statement

Country of Publication:: United States

Language:: English

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