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20212026
most citedFast Flux-Activated Leakage Reduction for Superconducting Quantum Circuits

25 citations · 90 across the 11 of their papers we have counts for

collaborators

12 papers

quant-ph2026

Hybrid Quantum-Classical Neural Networks for Recognizing Quantum Phases

Colin Scarato, Johannes Knörzer, Markus K. Hoffmann +11

Identifying quantum phases of matter is key to understanding strongly correlated materials, but remains a challenging task for both conventional computers and current quantum proce…

quant-ph2026

Assessing the Sensitivity of Niobium- and Tantalum-Based Superconducting Qubits to Infrared Radiation

Michael Kerschbaum, Felix Wagner, Uroš Ognjanović +7

The use of tantalum films for superconducting qubits has recently extended qubit coherence times significantly, primarily due to reduced dielectric losses at the metal-air interfac…

quant-ph2025★ 3 cited

Resource-Efficient Cross-Platform Verification with Modular Superconducting Devices

Kieran Dalton, Johannes Knörzer, Finn Hoehne +7

Large-scale quantum computers are expected to benefit from modular architectures. Validating the capabilities of modular devices requires benchmarking strategies that assess perfor…

quant-ph2025

Performance Characterization of a Multi-Module Quantum Processor with Static Inter-Chip Couplers

Graham J. Norris, Kieran Dalton, Dante Colao Zanuz +8

Three-dimensional integration technologies such as flip-chip bonding are a key prerequisite to realize large-scale superconducting quantum processors. Modular architectures, in whi…

quant-ph2025★ 6 cited

Realizing a Continuous Set of Two-Qubit Gates Parameterized by an Idle Time

Colin Scarato, Kilian Hanke, Ants Remm +6

Continuous gate sets are a key ingredient for near-term quantum algorithms. Here, we demonstrate a hardware-efficient, continuous set of controlled arbitrary-phase (…

quant-ph2025★ 7 cited

Realizing Lattice Surgery on Two Distance-Three Repetition Codes with Superconducting Qubits

Ilya Besedin, Michael Kerschbaum, Jonathan Knoll +12

Quantum error correction is needed for quantum computers to be capable of fault-tolerantly executing algorithms using hundreds of logical qubits. Recent experiments have demonstrat…

quant-ph2024★ 5 cited

Realization of Constant-Depth Fan-Out with Real-Time Feedforward on a Superconducting Quantum Processor

Yongxin Song, Liberto Beltrán, Ilya Besedin +8

When using unitary gate sequences, the growth in depth of many quantum circuits with output size poses significant obstacles to practical quantum computation. The quantum fan-out o…

quant-ph2024★ 13 cited

Deterministic generation of a 20-qubit two-dimensional photonic cluster state

James O'Sullivan, Kevin Reuer, Aleksandr Grigorev +11

Multidimensional cluster states are a key resource for robust quantum communication, measurement-based quantum computing and quantum metrology. Here, we present a device capable of…

quant-ph2024★ 15 cited

Mitigating Losses of Superconducting Qubits Strongly Coupled to Defect Modes

Dante Colao Zanuz, Quentin Ficheux, Laurent Michaud +16

The dominant contribution to the energy relaxation of state-of-the-art superconducting qubits is often attributed to their coupling to an ensemble of material defects which behave…

quant-ph2023★ 25 cited

Fast Flux-Activated Leakage Reduction for Superconducting Quantum Circuits

Nathan Lacroix, Luca Hofele, Ants Remm +14

Quantum computers will require quantum error correction to reach the low error rates necessary for solving problems that surpass the capabilities of conventional computers. One of…

quant-ph2022★ 16 cited

Calibration of Drive Non-Linearity for Arbitrary-Angle Single-Qubit Gates Using Error Amplification

Stefania Lazăr, Quentin Ficheux, Johannes Herrmann +12

The ability to execute high-fidelity operations is crucial to scaling up quantum devices to large numbers of qubits. However, signal distortions originating from non-linear compone…

cond-mat.mes-hall2021

Optimized Graphene Electrodes for contacting Graphene Nanoribbons

Oliver Braun, Jan Overbeck, Maria El Abbassi +12

Atomically precise graphene nanoribbons are a promising emerging class of designer quantum materials with electronic properties that are tunable by chemical design. However, many c…