Three scheduling strategies for hybrid quantum-HPC systems cut classical resource use by up to 64% or boost QPU utilization depending on workload balance, validated on real hardware.
Robust ultra-shallow shadows,
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Dissipative dynamics activate finite ergotropy from thermal quantum spin chains, with collective effects creating temperature- and size-dependent steady-state passivity via dark subspaces, while dephasing suppresses extraction.
Local robust shadows with calibration stages and Pauli-X-twirling mitigate errors from shortened measurement pulses on trapped-ion hardware for Haar random and QAOA states.
A surface ion trap design with multiple trapping regions enables high-sensitivity magnetic field mapping and gradiometry using trapped ions.
citing papers explorer
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Three ways to share a QPU: Scheduling strategies for hybrid Quantum-HPC applications
Three scheduling strategies for hybrid quantum-HPC systems cut classical resource use by up to 64% or boost QPU utilization depending on workload balance, validated on real hardware.
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Charging Quantum Batteries via Dissipative Quenches
Dissipative dynamics activate finite ergotropy from thermal quantum spin chains, with collective effects creating temperature- and size-dependent steady-state passivity via dark subspaces, while dephasing suppresses extraction.
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Local robust shadows on a trapped ion computer -- a case study
Local robust shadows with calibration stages and Pauli-X-twirling mitigate errors from shortened measurement pulses on trapped-ion hardware for Haar random and QAOA states.
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Scalable surface ion trap design for magnetic quantum sensing and gradiometry
A surface ion trap design with multiple trapping regions enables high-sensitivity magnetic field mapping and gradiometry using trapped ions.