Cloud on-demand emulation of quantum dynamics with tensor networks

TL;DR

This paper presents a cloud-based tensor network emulator that simulates programmable quantum processing units, enabling efficient evaluation of quantum states and algorithms on classical and quantum hardware.

Contribution

It introduces a novel tensor network emulator integrated into a cloud platform, facilitating large-scale quantum dynamics simulation and benchmarking on HPC and QPU devices.

Findings

Effective emulation of quantum state preparation and algorithms.

Ability to evaluate quantum pulse sequences and solve combinatorial problems.

Scalability to large qubit systems using tensor network methods.

Abstract

We introduce a tensor network based emulator, simulating a programmable analog quantum processing unit (QPU). The software package is fully integrated in a cloud platform providing a common interface for executing jobs on a HPC cluster as well as dispatching them to a QPU device. We also present typical emulation use cases in the context of Neutral Atom Quantum Processors, such as evaluating the quality of a state preparation pulse sequence, and solving Maximum Independent Set problems by applying a parallel sweep over a set of input pulse parameter values, for systems composed of a large number of qubits.