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quant-ph2026
Post-processing optimization and optimal bounds for non-adaptive shadow tomography
Andrea Caprotti, Joshua Morris, Borivoje DakiÄ
Informationally overcomplete POVMs are known to outperform minimally complete measurements in many tomography and estimation tasks, and they also leave a purely classical freedom i…
quant-ph2025
Experimental neuromorphic computing based on quantum memristor
Mirela SelimoviÄ, Iris Agresti, MichaÅ Siemaszko +8
Machine learning has recently developed novel approaches, mimicking the synapses of the human brain to achieve similarly efficient learning strategies. Such an approach retains the…
quant-ph2024
Optimising quantum tomography via shadow inversion
Andrea Caprotti, Joshua Morris, Borivoje DakiÄ
In quantum information theory, the accurate estimation of observables is pivotal for quantum information processing, playing a crucial role in compute and communication protocols.…