Programmable energy-selective local reservoirs stabilize entangled single-excitation states in coupled superconducting qubits with fidelity up to 90.8% via parametric driving to readout resonators.
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A hybrid method uses fixed quantum annealing states as boundary resources for classical MERA tensor networks to improve ground-state approximations without deeper quantum circuits.
A randomised measurement protocol enables observation of a disorder-induced entanglement transition from chaotic to localised dynamics in a neutral atom quantum processor.
Krylov shadow tomography produces exponentially converging bounds on quantum Fisher information that exactly match the QFI for low-rank states and outperform existing polynomial lower bounds.
A new optimization-based protocol estimates quantum coherence from scarce data with system-size-independent cost and is experimentally demonstrated.
citing papers explorer
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Entangling Superconducting Qubits via Energy-Selective Local Reservoirs
Programmable energy-selective local reservoirs stabilize entangled single-excitation states in coupled superconducting qubits with fidelity up to 90.8% via parametric driving to readout resonators.
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Combining non-parametric quantum states and MERA tensor networks for ground-state optimization
A hybrid method uses fixed quantum annealing states as boundary resources for classical MERA tensor networks to improve ground-state approximations without deeper quantum circuits.
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Randomised measurements of a disorder-induced entanglement transition in a neutral atom quantum processor
A randomised measurement protocol enables observation of a disorder-induced entanglement transition from chaotic to localised dynamics in a neutral atom quantum processor.
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Superiority of Krylov shadow tomography in estimating quantum Fisher information: From bounds to exactness
Krylov shadow tomography produces exponentially converging bounds on quantum Fisher information that exactly match the QFI for low-rank states and outperform existing polynomial lower bounds.
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Scalable protocol to coherence estimation from scarce data: Theory and experiment
A new optimization-based protocol estimates quantum coherence from scarce data with system-size-independent cost and is experimentally demonstrated.