AI coding agents evolve simple ground-state protocols into improved versions for VQE, DMRG, and AFQMC on spin models and molecules by using executable energy scores under fixed compute budgets.
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15 Pith papers cite this work, alongside 2,595 external citations. Polarity classification is still indexing.
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Hybrid QSCI method with LCNot-UCCSD ansatz and RBM-based configuration recovery enables NISQ-era molecular simulations, demonstrated on small molecules and DMET-embedded protein-ligand systems.
Indistinguishable fermions generate correlations in quantum networks impossible for bosons or distinguishable particles without additional communication, establishing fermions as fundamentally more nonlocal.
Canonical mapping of quantum-dot-superconductor clusters enables neural quantum-state calculations that reveal trivial singlet, Heisenberg-like, and critical regimes with 1D gaplessness and 2D triplet states.
Derives path-product expansion for free-fermion modes and local conserved charges in generalized free-fermion models from Krylov basis generating function.
Non-invertible symmetry-breaking phases are characterized by long-range order parameters obeying generalized algebra, with certain transitions dual to beyond-Landau points of invertible symmetries under precise conditions established via generalized gauging.
The peak-valley mechanism organizes strong Hilbert space fragmentation in 1D spin chains by assigning emergent good quantum numbers to the heights and depths of peaks and valleys.
Gauging and duality transformations are equivalent up to constant depth quantum circuits in one-dimensional quantum lattice models, demonstrated via matrix product operators.
Hard-core boson algebra is reviewed and extended for quantum circuit simulation with reported speedups over Qiskit and a new genetic-algorithm application for circuit synthesis.
QCA is a real geometric algebra with split signature for direct Dirac-to-GA translation, implemented via GAALOP for quantum gates and applied to quantum game theory.
Three qubit mappings for VQE on nuclear shell model are compared for 10B and 12C, with SD mapping achieving 0.21% error on hardware for 10B ground state.
QFlow-SD matches canonical UCCSD energies for tested molecules while using substantially fewer qubits via reduced active spaces and constant-depth circuits, with a composite classical-quantum downfolding strategy demonstrated for water.
Perturbative computation of 2D NLSM energy-density to fourth order agrees with TBA large-h asymptotics.
Noise in present quantum hardware prevents reliable VQE molecular energy estimation for benzene despite Hamiltonian simplifications and optimizer tweaks, requiring substantially lower noise for future utility.
citing papers explorer
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Optimizing ground state preparation protocols with autoresearch
AI coding agents evolve simple ground-state protocols into improved versions for VQE, DMRG, and AFQMC on spin models and molecules by using executable energy scores under fixed compute budgets.
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Bridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular Simulations
Hybrid QSCI method with LCNot-UCCSD ansatz and RBM-based configuration recovery enables NISQ-era molecular simulations, demonstrated on small molecules and DMET-embedded protein-ligand systems.
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Fermions are fundamentally more nonlocal than Bosons
Indistinguishable fermions generate correlations in quantum networks impossible for bosons or distinguishable particles without additional communication, establishing fermions as fundamentally more nonlocal.
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Correlated States in Quantum Dot Clusters Coupled to a Common Superconductor
Canonical mapping of quantum-dot-superconductor clusters enables neural quantum-state calculations that reveal trivial singlet, Heisenberg-like, and critical regimes with 1D gaplessness and 2D triplet states.
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Solving models with generalized free fermions II: Path-product expansion and conserved charges
Derives path-product expansion for free-fermion modes and local conserved charges in generalized free-fermion models from Krylov basis generating function.
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Spontaneous breaking of non-invertible symmetries and duality to beyond-Landau transitions
Non-invertible symmetry-breaking phases are characterized by long-range order parameters obeying generalized algebra, with certain transitions dual to beyond-Landau points of invertible symmetries under precise conditions established via generalized gauging.
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Peak-valley mechanism for Hilbert space fragmentation
The peak-valley mechanism organizes strong Hilbert space fragmentation in 1D spin chains by assigning emergent good quantum numbers to the heights and depths of peaks and valleys.
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From gauging to duality in one-dimensional quantum lattice models
Gauging and duality transformations are equivalent up to constant depth quantum circuits in one-dimensional quantum lattice models, demonstrated via matrix product operators.
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Hard-core Bosons in Action: Applications to Quantum Circuits
Hard-core boson algebra is reviewed and extended for quantum circuit simulation with reported speedups over Qiskit and a new genetic-algorithm application for circuit synthesis.
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Quantum Computing Algebra (QCA), the theory and implementation
QCA is a real geometric algebra with split signature for direct Dirac-to-GA translation, implemented via GAALOP for quantum gates and applied to quantum game theory.
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Qubit-efficient variational algorithm for nuclear structure
Three qubit mappings for VQE on nuclear shell model are compared for 10B and 12C, with SD mapping achieving 0.21% error on hardware for 10B ground state.
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Quantum Flow algorithm: quantum simulations of chemical systems using reduced quantum resources and constant depth quantum circuits
QFlow-SD matches canonical UCCSD energies for tested molecules while using substantially fewer qubits via reduced active spaces and constant-depth circuits, with a composite classical-quantum downfolding strategy demonstrated for water.
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A note on the 2D NLSM free energy
Perturbative computation of 2D NLSM energy-density to fourth order agrees with TBA large-h asymptotics.
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Limitations of Quantum Hardware for Molecular Energy Estimation Using VQE
Noise in present quantum hardware prevents reliable VQE molecular energy estimation for benzene despite Hamiltonian simplifications and optimizer tweaks, requiring substantially lower noise for future utility.
- Topological Control of Quantum Chaos Diagnostics: OTOCs, Spectral Statistics, and Information Scrambling in Ising Model