A tailored quantum multi-programming workflow for the LUCJ ansatz enables parallel circuit execution with SQD/ext-SQD post-processing that mitigates cross-talk, yielding ethanol energies within 0.001 kcal/mol of classical HCI references.
arXiv preprint arXiv:2506.20825 , year =
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SQD-AA reduces total query complexity by more than 100x on model distributions and achieves the lowest T-gate counts with 3-4 orders shallower circuits than iQPE for molecular examples.
A QSCI variant using stochastic quantum time evolution selects compact configuration subspaces for SiH4 energies, achieving over 200x reduction versus conventional SCI at large separations while matching Heatbath CI compactness.
I-QMapper is a Jupyter-based interactive tool that combines qubit layout construction with real-time and historical calibration analytics for error-aware mapping on superconducting NISQ devices.
citing papers explorer
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A Quantum Multi-Programming Framework to Maximize Quantum Resources for the LUCJ Ansatz
A tailored quantum multi-programming workflow for the LUCJ ansatz enables parallel circuit execution with SQD/ext-SQD post-processing that mitigates cross-talk, yielding ethanol energies within 0.001 kcal/mol of classical HCI references.
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Towards Compact Wavefunctions from Quantum-Selected Configuration Interaction
A QSCI variant using stochastic quantum time evolution selects compact configuration subspaces for SiH4 energies, achieving over 200x reduction versus conventional SCI at large separations while matching Heatbath CI compactness.
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I-QMapper: Error-Aware Layout Optimization and Device Diagnostics for NISQ Hardware
I-QMapper is a Jupyter-based interactive tool that combines qubit layout construction with real-time and historical calibration analytics for error-aware mapping on superconducting NISQ devices.