Learning-based calibration of flux crosstalk in transmon qubit arrays
Superconducting quantum processors comprising flux-tunable data and coupler qubits are a
promising platform for quantum computation. However, magnetic flux crosstalk between the …
promising platform for quantum computation. However, magnetic flux crosstalk between the …
Compact model of a bulk FinFET quantum dot toward single chip integration of qubits and control electronics for quantum computing applications
In this work, we thoroughly investigate the drain current oscillations induced by quantum
confinement in short channel bulk FinFETs, while operating in coulomb blockade (CB) …
confinement in short channel bulk FinFETs, while operating in coulomb blockade (CB) …
[HTML][HTML] Identifying Pauli spin blockade using deep learning
Pauli spin blockade (PSB) can be employed as a great resource for spin qubit initialisation
and readout even at elevated temperatures but it can be difficult to identify. We present a …
and readout even at elevated temperatures but it can be difficult to identify. We present a …
All rf-based tuning algorithm for quantum devices using machine learning
Radio-frequency measurements could satisfy DiVincenzo's readout criterion in future large-
scale solid-state quantum processors, as they allow for high bandwidths and frequency …
scale solid-state quantum processors, as they allow for high bandwidths and frequency …
Experimental Online Quantum Dots Charge Autotuning Using Neural Network
V Yon, B Galaup, C Rohrbacher, J Rivard… - arXiv preprint arXiv …, 2024 - arxiv.org
Spin-based semiconductor qubits hold promise for scalable quantum computing, yet they
require reliable autonomous calibration procedures. This study presents an experimental …
require reliable autonomous calibration procedures. This study presents an experimental …
A compact and versatile cryogenic probe station for quantum device testing
M de Kruijf, S Geyer, T Berger… - Review of Scientific …, 2023 - pubs.aip.org
Fast feedback from cryogenic electrical characterization measurements is key for the
development of scalable quantum computing technology. At room temperature, high …
development of scalable quantum computing technology. At room temperature, high …
Artificial Intelligence for Quantum Computing
Artificial intelligence (AI) advancements over the past few years have had an unprecedented
and revolutionary impact across everyday application areas. Its significance also extends to …
and revolutionary impact across everyday application areas. Its significance also extends to …
Automated Charge Transition Detection in Quantum Dot Charge Stability Diagrams
F Hader, F Fuchs, S Fleitmann, K Havemann… - Authorea …, 2024 - techrxiv.org
Gate-defined semiconductor quantum dots require an appropriate number of electrons to
function as qubits. The number of electrons is usually tuned by analyzing charge stability …
function as qubits. The number of electrons is usually tuned by analyzing charge stability …
All rf-based tuning algorithm for quantum devices using machine learning
Radio-frequency measurements could satisfy DiVincenzo's readout criterion in future large-
scale solid-state quantum processors, as they allow for high bandwidths and frequency …
scale solid-state quantum processors, as they allow for high bandwidths and frequency …
AI for quantum computing in silicon
B Severin - 2023 - ora.ox.ac.uk
Spin qubits in silicon-based quantum devices are a candidate quantum computing
architecture because of their high fidelities, long coherence times and pathway to scalability …
architecture because of their high fidelities, long coherence times and pathway to scalability …