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Research PaperResearchia:202606.01037

Pseudoentanglement in constant depth: How trivial states can have non-trivial entanglement structure

Alexandru Gheorghiu

Abstract

We construct a family of 2D-local constant-depth quantum circuits that output states whose entanglement entropy across a specified cut cannot be estimated in quantum polynomial time. As constant-depth quantum circuits can be learned from polynomially many quantum samples, our resulting pseudoentangled states are implicitly public-key and not pseudorandom. This separates pseudoentanglement from pseudorandomness in the shallow-circuit regime: the former is possible, while the latter is not. The co...

Submitted: June 1, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

We construct a family of 2D-local constant-depth quantum circuits that output states whose entanglement entropy across a specified cut cannot be estimated in quantum polynomial time. As constant-depth quantum circuits can be learned from polynomially many quantum samples, our resulting pseudoentangled states are implicitly public-key and not pseudorandom. This separates pseudoentanglement from pseudorandomness in the shallow-circuit regime: the former is possible, while the latter is not. The construction is based on the quantum intractability of the Dense-Sparse Learning Parity with Noise problem introduced in [DJ25] and uses a bounded-fan-in, bounded-fan-out classical randomized encoding for linear maps xMx,\mathbf{x} \mapsto \mathbf{Mx}, which could be of independent interest. As applications, we obtain quantum hardness for the problem of learning the entanglement structure (across a fixed cut) of the ground-state of 1D and 2D local Hamiltonians. The 1D Hamiltonian has an inverse polynomial gap, whereas the 2D one has a constant gap. This complements the result of [BZZ24] that showed only factoring-based hardness for the 1D case, though achieving a volume versus area entanglement difference.


Source: arXiv:2605.31448v1 - http://arxiv.org/abs/2605.31448v1 PDF: https://arxiv.org/pdf/2605.31448v1 Original Link: http://arxiv.org/abs/2605.31448v1

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Date:
Jun 1, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
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