76 citations · 305 across the 15 of their papers we have counts for
15 papers
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
Paul Surrey, Julian D. Teske, Tobias Hangleiter +2
Quantum computing requires the optimization of control pulses to achieve high-fidelity quantum gates. We propose a machine learning-based protocol to address the challenges of eval…
Flopping-mode electron dipole spin resonance in the strong-driving regime
Julian D. Teske, Friederike Butt, Pascal Cerfontaine +2
Achieving high fidelity control of spin qubits with conventional electron dipole spin resonance (EDSR) requires large magnetic field gradients of about 1 mT/nm, which also couple t…
Minimising statistical errors in calibration of quantum-gate sets
Yaiza Aragonés-Soria, René Otten, Tobias Hangleiter +2
Calibration of quantum gates is a necessary hurdle to overcome on the way to a reliable quantum computer. In a recent paper, a protocol called Gate Set Calibration protocol (GSC) h…
Analytic Filter Function Derivatives for Quantum Optimal Control
Isabel Nha Minh Le, Julian D. Teske, Tobias Hangleiter +2
Auto-correlated noise appears in many solid state qubit systems and hence needs to be taken into account when developing gate operations for quantum information processing. However…
Filter Function Formalism and Software Package to Compute Quantum Processes of Gate Sequences for Classical Non-Markovian Noise
Tobias Hangleiter, Pascal Cerfontaine, Hendrik Bluhm
Correlated, non-Markovian noise is present in many solid-state systems employed as hosts for quantum information technologies, significantly complicating the realistic theoretical…
Filter Functions for Quantum Processes under Correlated Noise
Pascal Cerfontaine, Tobias Hangleiter, Hendrik Bluhm
Many qubit implementations are afflicted by correlated noise not captured by standard theoretical tools that are based on Markov approximations. While independent gate operations a…
Towards a realistic GaAs-spin qubit device for a classical error-corrected quantum memory
Manuel Rispler, Pascal Cerfontaine, Veit Langrock +1
Based on numerically-optimized real-device gates and parameters we study the performance of the phase-flip (repetition) code on a linear array of Gallium Arsenide (GaAs) quantum do…
Closed-loop control of a GaAs-based singlet-triplet spin qubit with 99.5% gate fidelity and low leakage
Pascal Cerfontaine, Tim Botzem, Julian Ritzmann +6
Semiconductor spin qubits have recently seen major advances in coherence time and control fidelities, leading to a single-qubit performance that is on par with other leading qubit…
Self-Consistent Calibration of Quantum Gate Sets
Pascal Cerfontaine, René Otten, Hendrik Bluhm
The precise and automated calibration of quantum gates is a key requirement for building a reliable quantum computer. Unlike errors from decoherence, systematic errors can in princ…
A Machine Learning Approach for Automated Fine-Tuning of Semiconductor Spin Qubits
Julian D. Teske, Simon Humpohl, René Otten +6
While spin qubits based on gate-defined quantum dots have demonstrated very favorable properties for quantum computing, one remaining hurdle is the need to tune each of them into a…
High-fidelity gate set for exchange-coupled singlet-triplet qubits
Pascal Cerfontaine, René Otten, M. A. Wolfe +2
In order to enable semiconductor-based quantum computing with many qubits, issues like residual interqubit coupling and constraints from scalable control hardware need to be tackle…
Transfer of a quantum state from a photonic qubit to a gate-defined quantum dot
Benjamin Joecker, Pascal Cerfontaine, Federica Haupt +3
Interconnecting well-functioning, scalable stationary qubits and photonic qubits could substantially advance quantum communication applications and serve to link future quantum pro…
Calculation of tunnel-couplings in open gate-defined disordered quantum dot systems
Jan Klos, Fabian Hassler, Pascal Cerfontaine +2
Quantum computation based on semiconductor electron-spin qubits requires high control of tunnel-couplings, both across quantum dots and between the quantum dot and the reservoir. T…
Tuning methods for semiconductor spin--qubits
Tim Botzem, Michael D. Shulman, Sandra Foletti +13
We present efficient methods to reliably characterize and tune gate-defined semiconductor spin qubits. Our methods are designed to target the tuning procedures of semiconductor dou…
Feedback-tuned noise-resilient gates for encoded spin qubits
Pascal Cerfontaine, Tim Botzem, Simon Sebastian Humpohl +3
Two level quantum mechanical systems like spin 1/2 particles lend themselves as a natural qubit implementation. However, encoding a single qubit in several spins reduces the resour…