Constructs boundary-consistent weakly relativistic lattice Hamiltonians for 1D first-quantized simulation by reconstructing momentum moments from cyclic translations (PBC) or finite differences (DBC), validated on benchmark potentials.
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4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
fields
quant-ph 4years
2026 4verdicts
UNVERDICTED 4representative citing papers
QUEST is a new adaptive framework for quantum state engineering that constructs states one Pauli rotation at a time to satisfy multiple expectation-value targets simultaneously.
QLLVM delivers an LLVM-based end-to-end co-compiler that unifies classical HPC and quantum programs into one executable, with a three-stage quantum path via MLIR and QIR that reduces circuit depth and gate counts on MQTBench versus prior compilers.
Variational compression of Trotterized circuits preserves reaction rate coefficients in nonadiabatic dynamics simulations while reducing circuit depth.
citing papers explorer
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First-Quantized Relativistic Quantum Simulation with Periodic and Dirichlet Boundary Conditions
Constructs boundary-consistent weakly relativistic lattice Hamiltonians for 1D first-quantized simulation by reconstructing momentum moments from cyclic translations (PBC) or finite differences (DBC), validated on benchmark potentials.
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Quantum State Engineering Under Multiple Expectation-Value Constraints
QUEST is a new adaptive framework for quantum state engineering that constructs states one Pauli rotation at a time to satisfy multiple expectation-value targets simultaneously.
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QLLVM: A Scalable Quantum-Classical Co-Compilation Framework based on LLVM
QLLVM delivers an LLVM-based end-to-end co-compiler that unifies classical HPC and quantum programs into one executable, with a three-stage quantum path via MLIR and QIR that reduces circuit depth and gate counts on MQTBench versus prior compilers.
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Variationally Compressing Quantum Circuits to Approximate Nonadiabatic Molecular Quantum Dynamics
Variational compression of Trotterized circuits preserves reaction rate coefficients in nonadiabatic dynamics simulations while reducing circuit depth.