4 citations · 8 across the 5 of their papers we have counts for
15 papers · 1 filter
Thermometry with multilevel transmon probes
Antonio Mandarino, Matteo G. A. Paris, Claudia Benedetti
Superconducting transmon systems are promising platforms for nanoscale thermometry due to their high sensitivity to environmental fluctuations. Their intrinsic anharmonicity, which…
Learning partial transpose signatures in qubit ququart states from a few measurements
Christian Candeago, Paolo Da Rold, Michele Grossi +2
Higher-dimensional quantum systems are attracting interest for improving quantum protocol performance by increasing memory space. Characterizing quantum resources of such systems i…
Statistics of topological defects across a phase transition in a digital superconducting quantum processor
Oriel Kiss, Daniil Teplitskiy, Michele Grossi +1
When a quantum phase transition is crossed within a finite time, critical slowing down disrupts adiabatic dynamics, resulting in the formation of topological defects. The average d…
Applications of Quantum Machine Learning for Quantitative Finance
Piotr Mironowicz, Akshata Shenoy H., Antonio Mandarino +2
Machine learning and quantum machine learning (QML) have gained significant importance, as they offer powerful tools for tackling complex computational problems across various doma…
Unveiling Detuning Effects for Heat-Current Control in Quantum Thermal Devices
André H. A. Malavazi, Borhan Ahmadi, Paweł Mazurek +1
Navigating the intricacies of thermal management at the quantum scale is a challenge in the pursuit of advanced nanoscale technologies. To this extent, theoretical frameworks intro…
Counterdiabatic optimized driving in quantum phase sensitive models
Francesco Pio Barone, Oriel Kiss, Michele Grossi +2
State preparation plays a pivotal role in numerous quantum algorithms, including quantum phase estimation. This paper extends and benchmarks counterdiabatic driving protocols acros…