Condensed Matter · Physics & Astronomy
Strongly Correlated Electrons
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219 papers, from 7 September 2026 to 5 November 2026: 219 arXiv preprints.
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Newest papers, page 11
Disentangling the Toric Code
Commuting-projector Hamiltonians with integer spectrum such as the 1+1d Ising ferromagnet and the 2+1d toric code may be regarded as the generators of non-on-site $U(1)$ symmetries.Entanglement transitions in holographic conformal interfaces
We study entanglement transitions for pairs of disjoint intervals in two-dimensional holographic interface conformal field theories.A Mechanism for the Rényi Hierarchy of Decoherence-Induced Phase Transitions
Decoherence-induced phase transitions (DIPTs) are associated with singular changes in a quantum system's entanglement structure as the decoherence strength varies.Fate of average symmetry-protected topological states under symmetry-preserving quantum operations
The fate of average symmetry-protected topological (ASPT) states based on the one-dimensional cluster state is investigated by using the Choi mapping, namely, the doubled Hilbert-space formalism.Charge and spin qubits in interacting quantum dots coupled to Rashba-active leads
We present a unified study of charge and spin qubits encoded in a single interacting quantum dot tunnel-coupled to Rashba fermionic leads.Frustration-Free Models for Topological Holography: Fusion Spin Chains as Boundary Algebras
We introduce a class of $2d$ quantum spin systems based on a unitary spherical fusion category with a chosen object.Nullspace-guided Adaptive Bootstrap of Quantum Many-body Systems
We introduce a nullspace-guided adaptive (NGA) bootstrap method that improves the energy lower bounds of quantum many-body ground states by refining the bootstrap basis in a dynamic and incremental…Hilbert-space fragmentation selects channels of strong-to-weak spontaneous symmetry breaking
Strong-to-weak spontaneous symmetry breaking (SWSSB) can occur in a maximally mixed charge sector even when ordinary charged correlations vanish.Neural Network Backflow with Low-Rank Multi-Determinant Updates
Simulating strongly correlated fermions remains a long-standing challenge due to the exponential complexity of the Hilbert space and the intricate sign structure of many-body wavefunctions.Fermion bag study of the two-dimensional Majorana-Hubbard model at finite hopping
The two-dimensional Majorana-Hubbard model on the $π$-flux lattice involves the most local interaction possible for a lattice with one relativistic Majorana fermion per site.Transparent Domain Walls through Information Convex Sets
In $(2+1)$-dimensional topologically ordered many-body states, transparent (topologically deformable) domain walls are invisible to local topological probes, yet can modify the ground state…Random-matrix and transport frequencies in eigenstate spectral functions
The fact that generic isolated many-body quantum systems thermalize is understood using the eigenstate thermalization hypothesis (ETH).Probing quantum spin liquids with multiple quantum coherences
Quantum simulators are beginning to prepare long-sought phases of matter that remain difficult to realize cleanly in materials.From Effective Temperature to Non-Boltzmann State Selection in Driven-Dissipative Quantum Criticality
Whether a nonequilibrium quantum-critical steady state can be described by an effective temperature remains an open question.Extended symmetric quantum phase in a honeycomb Heisenberg model with sublattice-selective interactions
Motivated by two-dimensional bilayer systems we numerically study an anti-ferromagnetic spin-$1/2$ Heisenberg model on the honeycomb lattice with a nearest-neighbour exchange coupling $J_1$, and a…Random Gaussian Augmented Matrix Product States
Strong entanglement limits the reach of tensor-network descriptions of quantum many-body systems.Deep learning emergent spacetime from fermionic spectral functions in holography
We present a physics-informed machine learning framework based on Neural Ordinary Differential Equations that solves the holographic inverse problem: reconstructing the bulk spacetime and gauge…Gradient-estimator design overcomes trainability barriers in neural-network-based variational optimization
Neural networks provide expressive representations for scientific computing.Topology Obstructs Pure Foundation Neural Quantum States
Foundation models for ground states in spin-1/2 systems are a promising method for problems ranging from quantum chemistry to identifying new phase diagrams.