6 papers
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…
Assessing the Sensitivity of Niobium- and Tantalum-Based Superconducting Qubits to Infrared Radiation
Michael Kerschbaum, Felix Wagner, UroÅ¡ OgnjanoviÄ +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…
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…
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…
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 ($\mathrm{C}Z_θ…
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…