A hierarchy of representability conditions for 2-RDMs in non-particle-number-conserving quantum systems is obtained from the polar cone of the p-positive cone, unified with conserving cases by adding particle-number variance.
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Correlated purification via bi-objective semidefinite programming restores N-representability to noisy 2-RDMs from fermionic shadow tomography and achieves chemical accuracy on hydrogen chain dissociation curves.
A bi-objective SDP framework for constrained shadow tomography reconstructs N-representable 2-RDMs from noisy shadow data by balancing measurement fidelity with energy minimization for molecular quantum simulations.
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Representability for Quantum Theory beyond Particle-Number Conservation
A hierarchy of representability conditions for 2-RDMs in non-particle-number-conserving quantum systems is obtained from the polar cone of the p-positive cone, unified with conserving cases by adding particle-number variance.
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Correlated Purification for Restoring $N$-Representability in Quantum Simulation
Correlated purification via bi-objective semidefinite programming restores N-representability to noisy 2-RDMs from fermionic shadow tomography and achieves chemical accuracy on hydrogen chain dissociation curves.
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Constrained Shadow Tomography for Molecular Simulation on Quantum Devices
A bi-objective SDP framework for constrained shadow tomography reconstructs N-representable 2-RDMs from noisy shadow data by balancing measurement fidelity with energy minimization for molecular quantum simulations.