activity
20182026
most citedLeakage reduction in fast superconducting qubit gates via optimal control

174 citations · 450 across the 17 of their papers we have counts for

collaborators

17 papers

quant-ph2026

High-Fidelity Entangled States in a Connectivity-Four Fluxonium Quantum Processor

J. Schirk, N. Bruckmoser, S. M. Taubenberger +10

A central challenge in fluxonium-based quantum processors is the extension of the qubit connectivity to two-dimensional lattices compatible with quantum code-error correction. Here…

quant-ph2026

A high-fidelity two-qubit gate for multimode superconducting P-mon qubits

Frederik Pfeiffer, Federico A. Roy, Niklas J. Glaser +11

To scale superconducting quantum processors, it is essential to achieve long coherence times while engineering interactions that do not introduce additional decoherence channels. I…

quant-ph2026

Dynamical Decoupling using Universal Optimal Tracking

Amit Devra, Emanuel Malvetti, Niklas J. Glaser +7

Dynamical decoupling (DD) is a widely used and resource-efficient technique for error suppression, but conventional DD relies on periodically repeating a short pulse block to refoc…

quant-ph2026

Scalable Single-Step Generation of W States in 2D Superconducting Qubit Lattices

João H. Romeiro, Federico A. Roy, Niklas Bruckmoser +13

The reliable generation of multi-qubit entanglement is a prerequisite for large-scale quantum information technologies. In particular, W states are a valuable resource owing to the…

quant-ph2025

Superconducting Qubit Gates Robust to Parameter Fluctuations

Emily Wright, Leo Van Damme, Niklas J. Glaser +14

State-of-the-art single-qubit gates on superconducting transmon qubits can achieve the fidelities required for error-corrected computations. However, parameter fluctuations due to…

quant-ph2025★ 2 cited

Tackling the Challenges of Adding Pulse-level Support to a Heterogeneous HPCQC Software Stack: MQSS Pulse

Jorge Echavarria, Muhammad Nufail Farooqi, Amit Devra +22

We study the problem of adding native pulse-level control to heterogeneous High Performance Computing-Quantum Computing (HPCQC) software stacks, using the Munich Quantum Software S…

physics.ed-ph2025

Quantum Entrepreneurship Lab: Training a Future Workforce for the Quantum Industry

Aaron Sander, Rosaria Cercola, Andrea Capogrosso +9

The Quantum Entrepreneurship Lab (QEL) is a one-semester, project-based course at the Technical University of Munich (TUM), designed to bridge the gap between academic research and…

quant-ph2024

Sensitivity-Adapted Closed-Loop Optimization for High-Fidelity Controlled-Z Gates in Superconducting Qubits

Niklas J. Glaser, Federico A. Roy, Ivan Tsitsilin +13

Achieving fast and high-fidelity qubit operations is crucial for unlocking the potential of quantum computers. In particular, reaching low gate errors in two-qubit gates has been a…

quant-ph2024★ 4 cited

Sub-Harmonic Control of a Fluxonium Qubit via a Purcell-Protected Flux Line

Johannes Schirk, Florian Wallner, Longxiang Huang +21

Protecting qubits from environmental noise while maintaining strong coupling for fast high-fidelity control is a central challenge for quantum information processing. Here, we demo…

quant-ph2024★ 7 cited

Parity-dependent state transfer for direct entanglement generation

Federico A. Roy, João H. Romeiro, Leon Koch +19

As quantum information technologies advance, challenges in scaling and connectivity persist, particularly the need for long-range qubit connectivity and efficient entanglement gene…

quant-ph2024★ 6 cited

Parametric multi-element coupling architecture for coherent and dissipative control of superconducting qubits

G. B. P. Huber, F. A. Roy, L. Koch +20

As systems for quantum computing keep growing in size and number of qubits, challenges in scaling the control capabilities are becoming increasingly relevant. Efficient schemes to…

quant-ph2021★ 11 cited

Direct implementation of a perceptron in superconducting circuit quantum hardware

Marek Pechal, Federico Roy, Samuel A. Wilkinson +4

The utility of classical neural networks as universal approximators suggests that their quantum analogues could play an important role in quantum generalizations of machine-learnin…

quant-ph2020★ 16 cited

High-speed calibration and characterization of superconducting quantum processors without qubit reset

Max Werninghaus, Daniel Egger, Stefan Filipp

To Characterize and calibrate quantum processing devices a large amount of measurement data has to be collected. Active qubit reset increases the speed at which data can be gathere…

quant-ph2020★ 80 cited

Integrated tool-set for Control, Calibration and Characterization of quantum devices applied to superconducting qubits

Nicolas Wittler, Federico Roy, Kevin Pack +6

Efforts to scale-up quantum computation have reached a point where the principal limiting factor is not the number of qubits, but the entangling gate infidelity. However, the highl…

quant-ph2020★ 78 cited

Benchmarking the noise sensitivity of different parametric two-qubit gates in a single superconducting quantum computing platform

M. Ganzhorn, G. Salis, D. J. Egger +8

The possibility to utilize different types of two-qubit gates on a single quantum computing platform adds flexibility in the decomposition of quantum algorithms. A larger hardware-…

quant-ph2020★ 174 cited

Leakage reduction in fast superconducting qubit gates via optimal control

Max Werninghaus, Daniel J. Egger, Federico Roy +3

Reaching high speed, high fidelity qubit operations requires precise control over the shape of the underlying pulses. For weakly anharmonic systems, such as superconducting transmo…

quant-ph2018★ 72 cited

Pulsed reset protocol for fixed-frequency superconducting qubits

Daniel J. Egger, Max Werninghaus, Marc Ganzhorn +4

Improving coherence times of quantum bits is a fundamental challenge in the field of quantum computing. With long-lived qubits it becomes, however, inefficient to wait until the qu…