A diagrammatic Monte Carlo framework computes fermionic Rényi entanglement entropies order-by-order on large lattices via graded-swap representation and connected-determinant summation.
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Large-scale quantum Monte Carlo simulations provide direct microscopic evidence for a fermion-quadrupling condensate with transition temperature on the scale of the hopping energy.
A D-Wave bilayer Kagome simulator shows an interlayer-driven ferroelectric-to-antiferroelectric Ice-II charge-order transition at (J⊥/J1)*≈0.04 and maps real Kagome CDW materials onto that phase diagram.
A VQE quantum-computing method for nuclear lattice models shows ground-state energies for 2H, 3H, and 4He approaching experimental values with increasing lattice size.
A new fusion of adiabatic preconditioning and the Rodeo Algorithm, built hierarchically from solvable subsystems, enables robust exponential convergence for eigenstate preparation in the spin-1/2 XX model at high precision.
citing papers explorer
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Diagrammatic Monte Carlo for Fermionic R\'enyi Entanglement Entropy
A diagrammatic Monte Carlo framework computes fermionic Rényi entanglement entropies order-by-order on large lattices via graded-swap representation and connected-determinant summation.
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Demonstration of a fermion Quadrupling Condensate via Quantum Monte Carlo Simulation
Large-scale quantum Monte Carlo simulations provide direct microscopic evidence for a fermion-quadrupling condensate with transition temperature on the scale of the hopping energy.
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Quantum simulation of interlayer charge ordering in Kagome frustrated-magnet
A D-Wave bilayer Kagome simulator shows an interlayer-driven ferroelectric-to-antiferroelectric Ice-II charge-order transition at (J⊥/J1)*≈0.04 and maps real Kagome CDW materials onto that phase diagram.
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Quantum computing for effective nuclear lattice model
A VQE quantum-computing method for nuclear lattice models shows ground-state energies for 2H, 3H, and 4He approaching experimental values with increasing lattice size.
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Hierarchical Fusion Method for Scalable Quantum Eigenstate Preparation
A new fusion of adiabatic preconditioning and the Rodeo Algorithm, built hierarchically from solvable subsystems, enables robust exponential convergence for eigenstate preparation in the spin-1/2 XX model at high precision.