69 citations · 178 across the 9 of their papers we have counts for
6 papers · 1 filter
Simulating the Dynamics of Markovian Quantum Processes by Quantum Collision Models on Quantum Computers
Zeqing Wang, Julian D. Teske, Anshuman Bhardwaj +2
Hamiltonian dynamics have been widely implemented on noisy intermediate-scale quantum devices in recent years. In contrast, experimental demonstrations of Markovian quantum dynamic…
Driving Exchange Interaction in Spin Qubits with Quasi-Zero Pulses
Julian D. Teske, Remy L. Delva, Shobhan Kulshreshtha +6
The implementation of high-fidelity quantum gates for spin qubits requires accurate control of exchange interactions between electrons confined in quantum dots, but pulse distortio…
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…
The SpinBus Architecture: Scaling Spin Qubits with Electron Shuttling
Matthias Künne, Alexander Willmes, Max Oberländer +10
Quantum processor architectures must enable scaling to large qubit numbers while providing two-dimensional qubit connectivity and exquisite operation fidelities. For microwave-cont…
qopt: An experiment-oriented Qubit Simulation and Quantum Optimal Control Package
Julian D. Teske, Pascal Cerfontaine, Hendrik Bluhm
Realistic modeling of qubit systems including noise and constraints imposed by control hardware is required for performance prediction and control optimization of quantum processor…
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…