activity
20232025
most citedAgents for self-driving laboratories applied to quantum computing

10 citations · 12 across the 10 of their papers we have counts for

collaborators

10 papers

quant-ph2025

Crosstalk Dispersion and Spatial Scaling in Superconducting Qubit Arrays

Mohammed Alghadeer, Simon Pettersson Fors, Shuxiang Cao +5

Crosstalk between qubits fundamentally limits the scalability of quantum processors, necessitating physics-based models that can handle the complexity of large qubit arrays. Here,…

quant-ph2025

Double-Bracket Algorithmic Cooling

Mohammed Alghadeer, Khanh Uyen Giang, Shuxiang Cao +6

Algorithmic cooling shows that it is possible to locally reduce the entropy of a qubit belonging to an isolated ensemble such as nuclear spins in molecules or nitrogen-vacancy cent…

quant-ph2025

Intrinsic Multi-Mode Interference for Passive Suppression of Purcell Decay in Superconducting Circuits

Mustafa Bakr, Mohammed Alghadeer, Simon Pettersson Fors +6

Decoherence due to radiative decay remains an important consideration in scaling superconducting quantum processors. We introduce a passive, interference-based methodology for supp…

quant-ph2025

Low Crosstalk in a Scalable Superconducting Quantum Lattice

Mohammed Alghadeer, Shuxiang Cao, Simone D Fasciati +5

Superconducting quantum circuits are a key platform for advancing quantum information processing and simulation. Scaling efforts currently encounter challenges such as Josephson-ju…

quant-ph2025

Characterization of Nanostructural Imperfections in Superconducting Quantum Circuits

Mohammed Alghadeer, Simone D Fasciati, Shuxiang Cao +7

Decoherence in superconducting quantum circuits, caused by loss mechanisms like material imperfections and two-level system (TLS) defects, remains a major obstacle to improving the…

quant-ph2024

Multiplexed Readout of Superconducting Qubits Using a 3D Re-entrant Cavity Filter

Mustafa Bakr, Simone D. Fasciati, Shuxiang Cao +7

Hardware efficient methods for high fidelity quantum state measurements are crucial for superconducting qubit experiments, as qubit numbers grow and feedback and state reset begin…

cs.AI2024★ 10 cited

Agents for self-driving laboratories applied to quantum computing

Shuxiang Cao, Zijian Zhang, Mohammed Alghadeer +5

Fully automated self-driving laboratories are promising to enable high-throughput and large-scale scientific discovery by reducing repetitive labour. However, effective automation…

quant-ph2024

Complementing the transmon by integrating a geometric shunt inductor

Simone D. Fasciati, Boris Shteynas, Giulio Campanaro +5

We realize a single-Josephson-junction transmon qubit shunted by a simple geometric inductor. We couple it capacitively to a conventional transmon and show that the ZZ interaction…

quant-ph2024★ 1 cited

Superconducting qubit readout enhanced by path signature

Shuxiang Cao, Zhen Shao, Jian-Qing Zheng +15

Quantum non-demolition measurement plays an essential role in quantum technology, crucial for quantum error correction, metrology, and sensing. Conventionally, the qubit state is c…

quant-ph2023★ 1 cited

Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit

Shuxiang Cao, Weixi Zhang, Jules Tilly +9

Qutrits, three-level quantum systems, have the advantage of potentially requiring fewer components than the typically used two-level qubits to construct equivalent quantum circuits…