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Non-stabilizerness Entanglement Entropy: a measure of hardness in the classical simulation of quantum many-body systems
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Classical and quantum states can be distinguished by entanglement entropy, which can be viewed as a measure of quantum resources. Entanglement entropy also plays a pivotal role in understanding computational complexity in simulating quantum systems. However, stabilizer states formed solely by Clifford gates can be efficiently simulated with the tableau algorithm according to the Gottesman-Knill theorem, although they can host large entanglement entropy. In this work, we introduce the concept of non-stabilizerness entanglement entropy which is basically the minimum residual entanglement entropy for a quantum state by excluding the contribution from Clifford circuits. It can serve as a new practical and better measure of difficulty in the classical simulation of quantum many-body systems. We discuss why it is a better criterion than previously proposed metrics such as Stabilizer R\'enyi Entropy. We also show numerical results of non-stabilizerness entanglement entropy with concrete quantum many-body models. The concept of non-stabilizerness entanglement entropy expands our understanding of the ``hardness`` in the classical simulation of quantum many-body systems.
Forward citations
Cited by 3 Pith papers
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Magic-protected entanglement and Clifford-irreducible structure in magic state space
Quantum states are classified by how much bipartite entanglement survives optimal simplification by classically easy Clifford operations, yielding a split into weakly protected T-magic and strongly protected W-magic regimes.
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Quantum Non-Local Nonstabilizerness
Non-local nonstabilizerness is exactly computable for two-qubit pure states and shows power-law scaling and a measurement-induced 'nonstabilizerness swapping' effect in critical systems.
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Clifford circuits Augmented Matrix Product States for fermion systems
Fermionic CAMPS, built by combining Clifford circuits with MPS via the Jordan-Wigner transformation, improves ground-state energy accuracy over plain MPS in benchmarks on the t-V and Hubbard models.
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