We present a new method for quantifying the resourcefulness of continuous-variable states in the context of promoting otherwise simulatable circuits to universality. The simulatable, albeit non-Gaussian, circuits that we consider are composed of Gottesman-Kitaev-Preskill states, Gaussian operations, and homodyne measurements. We first introduce a general framework for mapping a continuous-variable state into a qubit state. We then express existing maps in this framework, including the modular subsystem decomposition and stabilizer subsystem decomposition. Combining these results with existing results in discrete-variable quantum computation provides a sufficient condition for achieving universal quantum computation. These results also allow...
Treating stabilizer operations as free, we establish lower bounds on the number of resource states, ...
Quantum computing is believed to be particularly useful for the simulation of chemistry and material...
Quantum simulation advantage over classical memory limitations would allow compact quantum circuits ...
We consider a computational model composed of ideal Gottesman-Kitaev-Preskill stabilizer states, Gau...
It was recently shown that a hidden variable model can be constructed for universal quantum computat...
The limited computational power of constant-depth quantum circuits can be boosted by adapting future...
A common requirement of quantum simulations and algorithms is the preparation of complex states thro...
A quantum computer with low-error, high-speed quantum operations and capability for interconnections...
We consider a computational model composed of ideal Gottesman-Kitaev-Preskill stabilizer states, Gau...
Quantum resource theories are a powerful framework for characterizing and quantifying relevant quant...
We demonstrate the applicability of a universal gate set in the parity encoding, which is a dual to ...
We propose a measurement-based model for fault-tolerant quantum computation that can be realised wit...
Continuous-variable (CV) devices are a promising platform for demonstrating large-scale quantum info...
What resources are universal for quantum computation? In the standard model, a quantum computer cons...
Non-stabilizerness or magic resource characterizes the amount of non-Clifford operations needed to p...
Treating stabilizer operations as free, we establish lower bounds on the number of resource states, ...
Quantum computing is believed to be particularly useful for the simulation of chemistry and material...
Quantum simulation advantage over classical memory limitations would allow compact quantum circuits ...
We consider a computational model composed of ideal Gottesman-Kitaev-Preskill stabilizer states, Gau...
It was recently shown that a hidden variable model can be constructed for universal quantum computat...
The limited computational power of constant-depth quantum circuits can be boosted by adapting future...
A common requirement of quantum simulations and algorithms is the preparation of complex states thro...
A quantum computer with low-error, high-speed quantum operations and capability for interconnections...
We consider a computational model composed of ideal Gottesman-Kitaev-Preskill stabilizer states, Gau...
Quantum resource theories are a powerful framework for characterizing and quantifying relevant quant...
We demonstrate the applicability of a universal gate set in the parity encoding, which is a dual to ...
We propose a measurement-based model for fault-tolerant quantum computation that can be realised wit...
Continuous-variable (CV) devices are a promising platform for demonstrating large-scale quantum info...
What resources are universal for quantum computation? In the standard model, a quantum computer cons...
Non-stabilizerness or magic resource characterizes the amount of non-Clifford operations needed to p...
Treating stabilizer operations as free, we establish lower bounds on the number of resource states, ...
Quantum computing is believed to be particularly useful for the simulation of chemistry and material...
Quantum simulation advantage over classical memory limitations would allow compact quantum circuits ...