# Transverse fields to tune an Ising-nematic quantum critical transition

## TL;DR

This paper demonstrates how transverse fields, such as strain or magnetic fields, can tune orbital-nematic order to a quantum critical point, revealing intertwined order parameters through non-trivial quantum relations.

## Contribution

It introduces a practical method to tune orbital-nematic order to quantum criticality using transverse fields, linking different order parameters via quantum commutation relations.

## Key findings

- Transverse strain or magnetic field can tune nematic order to a quantum critical point.
- Non-trivial commutation relations intertwine different order parameters.
- Berry-phase terms describe the effective field theory of the transition.

## Abstract

The paradigmatic example of a continuous quantum phase transition is the transverse field Ising ferromagnet. In contrast to classical critical systems, whose properties depend only on symmetry and the dimension of space, the nature of a quantum phase transition also depends on the dynamics. In the transverse field Ising model, the order parameter is not conserved and increasing the transverse field enhances quantum fluctuations until they become strong enough to restore the symmetry of the ground state. Ising pseudo-spins can represent the order parameter of any system with a two-fold degenerate broken-symmetry phase, including electronic nematic order associated with spontaneous point-group symmetry breaking. Here, we show for the representative example of orbital-nematic ordering of a non-Kramers doublet that an orthogonal strain or a perpendicular magnetic field plays the role of the transverse field, thereby providing a practical route for tuning appropriate materials to a quantum critical point. While the transverse fields are conjugate to seemingly unrelated order parameters, their non-trivial commutation relations with the nematic order parameter, which can be represented by a Berry-phase term in an effective field theory, intrinsically intertwines the different order parameters.