Weiguo Ma
Research & Publications
My research connects Programmable Quantum Simulation, Nonequilibrium Many-Body Physics, and Tensor Networks and Quantum Software.
Selected Works
Dissipation-Selected Resonant Fronts in a Driven-Dissipative Bose-Hubbard Lattice
Spatially structured dissipation can organize driven quantum matter beyond purely Hamiltonian control. We show that a dissipation gradient, combined with a Stark-induced detuning ramp, selects a nonlinear resonance slice in a two-dimensional driven-dissipative Bose-Hubbard lattice and produces a pinned density front...
A Qudit-Native Framework for Discrete Time Crystals
We introduce a qudit-native framework for engineering robust discrete time crystals (DTCs) by leveraging their internal multilevel structure. Our approach confines the periodic drive to specified on-site subspaces, creating an embedded kick that suppresses heating by preventing population leakage to inactive levels....
Tomography-assisted noisy quantum circuit simulation using matrix product density operators
In recent years, efficient quantum circuit simulations incorporating ideal noise assumptions have relied on tensor network simulators, particularly leveraging the matrix product density operator (MPDO) framework. However, experiments on real noisy intermediate-scale quantum (NISQ) devices often involve complex noise...
Other Works
Observing Quantum Correlation Dynamics in Tunable Superconducting Bose-Hubbard Simulators
The generation and propagation of quantum correlations are central to understanding many dynamical properties of quantum systems, yet their precise experimental control and characterizati...
Non-equilibrium criticality-enhanced quantum sensing with superconducting qubits
Exploiting quantum features allows for estimating external parameters with precision well beyond the capacity of classical sensors, a phenomenon known as quantum-enhanced precision. Quant...
Programmable spectral symmetries in an anisotropic quantum Rabi simulator
The quantum Rabi model captures fundamental aspects of light--matter interaction, where symmetry dictates both spectra and dynamics. Over the past years, experiments have explored many of...
TensorCircuit-NG: A Universal, Composable, and Scalable Platform for Quantum Computing and Quantum Simulation
TensorCircuit-NG is a next-generation quantum software platform connecting quantum physics, artificial intelligence, and high-performance computing through a tensor-native programming par...
Microwave-activated high-fidelity three-qubit gate scheme for fixed-frequency superconducting qubits
Scalable superconducting quantum processors require balancing critical constraints in coherence, control complexity, and spectral crowding. Fixed-frequency architectures suppress flux noi...
Observation of Inelastic Meson Scattering in a Floquet System using a Digital Quantum Simulator
Lattice gauge theories provide a non-perturbative framework for understanding confinement and hadronic physics, but their real-time dynamics remain challenging for classical computations....
Microwave engineering of tunable spin interactions with superconducting qubits
Quantum simulation has emerged as a powerful framework for investigating complex many-body phenomena. A key requirement for emulating these dynamics is the realization of fully controllab...
Exploring Hilbert-Space Fragmentation on a Superconducting Processor
Isolated interacting quantum systems generally thermalize, yet there are several examples for the breakdown of ergodicity, such as many-body localization and quantum scars. Recently, ergo...
Interplay between disorder and topology in Thouless pumping on a superconducting quantum processor
Topological phases are robust against weak perturbations, but break down when disorder becomes sufficiently strong. However, moderate disorder can also induce topologically nontrivial pha...
Probing spin hydrodynamics on a superconducting quantum simulator
Characterizing the nature of hydrodynamical transport properties in quantum dynamics provides valuable insights into the fundamental understanding of exotic non-equilibrium phases of matt...
Quafu-RL: The cloud quantum computers based quantum reinforcement learning
With the rapid advancement of quantum computing, hybrid quantum–classical machine learning has shown numerous potential applications at the current stage, with expectations of being achie...
Quafu-Qcover: Explore combinatorial optimization problems on cloud-based quantum computers
We introduce Quafu-Qcover, an open-source cloud-based software package developed for solving combinatorial optimization problems using quantum simulators and hardware backends. Quafu-Qcov...
Quantum simulation of topological zero modes on a 41-qubit superconducting processor
Quantum simulation of different exotic topological phases of quantum matter on a noisy intermediate-scale quantum (NISQ) processor is attracting growing interest. Here, we develop a one-d...
A Flexible and Reconfigurable Optical Add-Drop Multiplexer for Mode Division Multiplexing Systems
Reconfigurable optical add-drop multiplexer (ROADM) is one of the key building blocks for on-chip optical networks, which can download the desired signals from the bus waveguide to the co...