Unitary-transformed projective squeezing: applications for circuit-knitting and state-preparation of non-Gaussian states

TL;DR

This paper introduces a formalism for projecting quantum states onto unitary-transformed squeezed states, enabling simulation of larger quantum devices and improved non-Gaussian state preparation, with applications in circuit knitting and state engineering.

Contribution

It extends projective squeezing methods to hybrid quantum systems, allowing higher fidelity non-Gaussian state preparation and error suppression in quantum computing.

Findings

Projection suppresses photon-loss errors.

Method enables higher squeezing levels for non-Gaussian states.

Numerical verification confirms improved state fidelity.

Abstract

Continuous-variable (CV) quantum computing is a promising candidate for quantum computation because it can, even with one mode, utilize infinite-dimensional Hilbert spaces and can efficiently handle continuous values. Although photonic platforms have been considered as a leading platform for CV computation, hybrid systems that use both qubits and bosonic modes, e.g., superconducting hardware, have shown significant advances because they can prepare non-Gaussian states by utilizing the nonlinear interaction between the qubits and the bosonic modes. However, the size of hybrid hardware is currently restricted. Moreover, the fidelity of the non-Gaussian state is also restricted. This work extends the projective squeezing method to establish a formalism for projecting quantum states onto the states that are unitary-transformed from the squeezed vacuum at the expense of the sampling cost. Based on this formalism, we propose methods for simulating larger quantum devices and projecting states onto the cubic phase state, a typical non-Gaussian state, with a higher squeezing level and higher nonlinearity. To make implementation practical, we can, by leveraging the interactions in hybrid systems of qubits and bosonic modes, apply the smeared projector by using either the linear-combination-of-unitaries or virtual quantum error detection algorithms. We numerically verify the performance of our methods and show that projection can suppress the effect of photon-loss errors.