Contextual Subspace Quantum Simulation with Optimized Transpilation on a Trapped-Ion Quantum Computer
ORAL
Abstract
We present an experimental demonstration of the contextual subspace variational quantum eigensolver (CS-VQE) on a trapped-ion quantum computer. By combining contextual subspace reduction with an optimized end-to-end transpilation workflow—featuring improved fermion-to-qubit mappings, tailored ansatz Pauli-phase-gadget sequences, and efficient measurement strategies—we achieve accurate ground-state energy estimation for molecular dissociation Hamiltonians. This approach demonstrates how subspace-based quantum algorithms can substantially reduce circuit depth and measurement overhead, enabling realistic quantum simulations within current hardware limits.
*NSF STAQ project (PHY-1818914/232580)
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Presenters
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Qingfeng Wang
- Tufts University