Neural quantum states with a tailored 3D convolutional architecture simulate quench dynamics up to 1000 qubits and verify the 3D quantum Kibble-Zurek mechanism with RG-derived logarithmic corrections and data collapse.
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Permanents, hafnians, and loop-hafnians are unified in a single Ising spin model whose dynamics are simulatable on a quantum circuit with O(N²) gates.
Magnetic fields tune the XXZ anisotropy parameter in alkaline-earth Rydberg pairs, allowing a folded XXZ model in ytterbium without fine-tuning and a mean-field supersolid on the square lattice.
Long-range interactions in the spin-one Heisenberg chain with anisotropy stabilize continuous symmetry breaking phases with logarithmic corrections to entanglement entropy and continuously varying critical exponents.
citing papers explorer
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Real-time Dynamics in 3D for up to 1000 Qubits with Neural Quantum States: Quenches and the Quantum Kibble--Zurek Mechanism
Neural quantum states with a tailored 3D convolutional architecture simulate quench dynamics up to 1000 qubits and verify the 3D quantum Kibble-Zurek mechanism with RG-derived logarithmic corrections and data collapse.
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Quantum Circuit Representation of Combinatorial Matrix Functions
Permanents, hafnians, and loop-hafnians are unified in a single Ising spin model whose dynamics are simulatable on a quantum circuit with O(N²) gates.
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Magnetic-field control of interactions in alkaline-earth Rydberg atoms and applications to {\it XXZ} models
Magnetic fields tune the XXZ anisotropy parameter in alkaline-earth Rydberg pairs, allowing a folded XXZ model in ytterbium without fine-tuning and a mean-field supersolid on the square lattice.
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Unconventional entanglement scaling and quantum criticality in the long-range spin-one Heisenberg chain with single-ion anisotropy
Long-range interactions in the spin-one Heisenberg chain with anisotropy stabilize continuous symmetry breaking phases with logarithmic corrections to entanglement entropy and continuously varying critical exponents.
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