1.1k citations · 1.5k across the 17 of their papers we have counts for
17 papers
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,…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Emulating two qubits with a four-level transmon qudit for variational quantum algorithms
Shuxiang Cao, Mustafa Bakr, Giulio Campanaro +7
Using quantum systems with more than two levels, or qudits, can scale the computation space of quantum processors more efficiently than using qubits, which may offer an easier phys…
Efficient characterization of qudit logical gates with gate set tomography using an error-free Virtual-Z-gate model
Shuxiang Cao, Deep Lall, Mustafa Bakr +7
Gate-set tomography (GST) characterizes the process matrix of quantum logic gates, along with measurement and state preparation errors in quantum processors. GST typically requires…
Multi-agent blind quantum computation without universal cluster states
Shuxiang Cao
Blind quantum computation (BQC) protocols enable quantum algorithms to be executed on third-party quantum agents while keeping the data and algorithm confidential. The previous pro…
The Variational Quantum Eigensolver: a review of methods and best practices
Jules Tilly, Hongxiang Chen, Shuxiang Cao +8
The variational quantum eigensolver (or VQE) uses the variational principle to compute the ground state energy of a Hamiltonian, a problem that is central to quantum chemistry and…
High Coherence in a Tileable 3D Integrated Superconducting Circuit Architecture
Peter A. Spring, Shuxiang Cao, Takahiro Tsunoda +11
We report high qubit coherence as well as low crosstalk and single-qubit gate errors in a superconducting circuit architecture that promises to be tileable to 2D lattices of qubits…
Cost function embedding and dataset encoding for machine learning with parameterized quantum circuits
Shuxiang Cao, Leonard Wossnig, Brian Vlastakis +2
Machine learning is seen as a promising application of quantum computation. For near-term noisy intermediate-scale quantum (NISQ) devices, parametrized quantum circuits (PQCs) have…
Hierarchical quantum classifiers
Edward Grant, Marcello Benedetti, Shuxiang Cao +5
Quantum circuits with hierarchical structure have been used to perform binary classification of classical data encoded in a quantum state. We demonstrate that more expressive circu…