In this paper, we investigate the relationship between entanglement and nonstabilizerness
(also known as magic) in matrix product states (MPSs). We study the relation between magic …

Magic-state resource theory is a powerful tool with applications in quantum error correction,
many-body physics, and classical simulation of quantum dynamics. Despite its broad scope …

We present a novel classical algorithm designed to learn the stabilizer group—namely, the
group of Pauli strings for which a state is a±1 eigenvector—of a given matrix product state …

We introduce a novel hybrid approach combining tensor network methods with the stabilizer
formalism to address the challenges of simulating many-body quantum systems. By …

The density matrix renormalization group (DMRG) is widely acknowledged as a highly
effective and accurate method for solving one-dimensional quantum many-body systems …

Non-stabilizerness–commonly known as magic–measures the extent to which a quantum
state deviates from stabilizer states and is a fundamental resource for achieving universal …

Efficient simulation of quantum computers relies on understanding and exploiting the
properties of quantum states. This is the case for methods such as tensor networks, based …

We provide the first tensor-network method for computing quantum weight enumerator
polynomials in the most general form. If a quantum code has a known tensor-network …

We study the task of agnostic tomography: given copies of an unknown $ n $-qubit state
$\rho $ which has fidelity $\tau $ with some state in a given class $ C $, find a state which …

Magic is a property of a quantum state that characterizes its deviation from a stabilizer state,
serving as a useful resource for achieving universal quantum computation eg, within …