A full-system energy model shows NISQ quantum simulations dominated by error mitigation sampling overhead while FTQC costs are driven by physical qubit overhead from code distance and magic states.
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Hybrid framework combines Pauli propagation with noise-canceling channels to compute observables more accurately on quantum hardware with lower classical and quantum resource costs.
Three complementary HPC-QC scheduling strategies cut classical resource use by up to 64% or improve QPU utilization depending on quantum-classical workload balance.
Hybrid quantum workflow on IQM Emerald processor computes -3.52 kcal/mol binding energy for pyridine-phenol complex via QSCI in (10e,10o) space, matching CASCI but underbinding relative to CCSD(T) benchmark of -8.5 to -9.5 kcal/mol.
Logical quantum kernels outperform physical ones when solving differential equations on a neutral-atom processor, with gains traced to noise error detection in the logical encoding.
A survey of nine QHPC stacks identifies common design patterns and proposes the openQSE reference architecture to unify interfaces across runtime, resource management, and orchestration layers.
A QDMI-based adapter for IQM quantum hardware enables reusable integration with Slurm and Qiskit in HPC centers, with open-source code provided.
citing papers explorer
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Estimating The Energy Consumption of Quantum Computing from A Full System Aspect
A full-system energy model shows NISQ quantum simulations dominated by error mitigation sampling overhead while FTQC costs are driven by physical qubit overhead from code distance and magic states.
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Computing noise-canceling observables via Pauli propagation
Hybrid framework combines Pauli propagation with noise-canceling channels to compute observables more accurately on quantum hardware with lower classical and quantum resource costs.
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Three ways to share a QPU: Scheduling strategies for hybrid Quantum-HPC applications
Three complementary HPC-QC scheduling strategies cut classical resource use by up to 64% or improve QPU utilization depending on quantum-classical workload balance.
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Additive binding energies in asphalt on a quantum processor via quantum-selected configuration interaction (QSCI)
Hybrid quantum workflow on IQM Emerald processor computes -3.52 kcal/mol binding energy for pyridine-phenol complex via QSCI in (10e,10o) space, matching CASCI but underbinding relative to CCSD(T) benchmark of -8.5 to -9.5 kcal/mol.
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Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor
Logical quantum kernels outperform physical ones when solving differential equations on a neutral-atom processor, with gains traced to noise error detection in the logical encoding.
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Quantum-HPC Software Stacks and the openQSE Reference Architecture: A Survey
A survey of nine QHPC stacks identifies common design patterns and proposes the openQSE reference architecture to unify interfaces across runtime, resource management, and orchestration layers.
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Practical HPCQC Integration with QDMI: A Real-Hardware Case Study with IQM Systems
A QDMI-based adapter for IQM quantum hardware enables reusable integration with Slurm and Qiskit in HPC centers, with open-source code provided.