Variational generation of spin squeezing on one-dimensional quantum devices with nearest-neighbor interactions

TL;DR

This paper introduces variational algorithms for generating significant spin squeezing in one-dimensional quantum systems with only nearest-neighbor interactions, making it feasible on current noisy quantum devices.

Contribution

It develops variational spin-squeezing algorithms applicable to 1D systems with nearest-neighbor interactions, achieving squeezing comparable to two-axis twisting methods.

Findings

Generated squeezing comparable to two-axis twisting.

Algorithms are feasible on current noisy intermediate-scale quantum computers.

Both digital and analog quantum circuits are effective.

Abstract

Efficient preparation of spin-squeezed states is important for quantum-enhanced metrology. Current protocols for generating strong spin squeezing rely on either high dimensionality or long-range interactions. A key challenge is how to generate considerable spin squeezing in one-dimensional systems with only nearest-neighbor interactions. Here, we develop variational spin-squeezing algorithms to solve this problem. We consider both digital and analog quantum circuits for these variational algorithms. After the closed optimization loop of the variational spin-squeezing algorithms, the generated squeezing can be comparable to the strongest squeezing created from two-axis twisting. By analyzing the experimental imperfections, the variational spin-squeezing algorithms proposed in this work are feasible in recent developed noisy intermediate-scale quantum computers.