An ancilla-free quantum measurement scheme using local Clifford rotations and Pauli observables evaluates SCGVB matrix elements, demonstrated on H4 dissociation with results matching classical references.
On the non-orthogonality problem con- nected with the use of atomic wave functions in the the- ory of molecules and crystals
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Twisted 1T-ZrS₂ and 1T-SnSe₂ host isolated topological moiré valence bands with quantum spin Hall and high spin Chern states that arise from inter-branch and inter-orbital coupling under approximate spin-U(1) symmetry.
A structure-preserving low-rank factorization of 2RDMs achieves linear rank scaling with system size and ~99% compression while retaining chemical accuracy for correlated states.
HAML meta-learns a mapping from control inputs and device parameters to effective two-qubit Hamiltonian coefficients via simulation training, then adapts online with few measurements, recovering coefficients where Schrieffer-Wolff perturbation theory fails.
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Compactifying the Electronic Wavefunction II: Quantum Estimators for Spin-Coupled Generalized Valence Bond Wavefunctions Applied to H4
An ancilla-free quantum measurement scheme using local Clifford rotations and Pauli observables evaluates SCGVB matrix elements, demonstrated on H4 dissociation with results matching classical references.
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Engineering topological flat bands in $\Gamma$-valley moir\'e systems with Ising-type SOC: twisted 1T-ZrS$_2$ and 1T-SnSe$_2$
Twisted 1T-ZrS₂ and 1T-SnSe₂ host isolated topological moiré valence bands with quantum spin Hall and high spin Chern states that arise from inter-branch and inter-orbital coupling under approximate spin-U(1) symmetry.
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Low-rank compression of two-electron reduced density matrices
A structure-preserving low-rank factorization of 2RDMs achieves linear rank scaling with system size and ~99% compression while retaining chemical accuracy for correlated states.
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Data-Driven Hamiltonian Reduction for Superconducting Qubits via Meta-Learning
HAML meta-learns a mapping from control inputs and device parameters to effective two-qubit Hamiltonian coefficients via simulation training, then adapts online with few measurements, recovering coefficients where Schrieffer-Wolff perturbation theory fails.