A5004269975- Quantum many-body systems
- Quantum Computing Algorithms and Architecture
- Quantum and electron transport phenomena
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
- Cold Atom Physics and Bose-Einstein Condensates
- Scheduling and Optimization Algorithms
- Laser-Matter Interactions and Applications
- Neural Networks and Applications
- Real-Time Systems Scheduling
- Topological Materials and Phenomena
- Advanced Manufacturing and Logistics Optimization
- Physics of Superconductivity and Magnetism
- Nonlinear Photonic Systems
- Advanced Fiber Laser Technologies
- Advanced Thermodynamics and Statistical Mechanics
- Quantum chaos and dynamical systems
- Advanced biosensing and bioanalysis techniques
- Simulation and Modeling Applications
- Atomic and Subatomic Physics Research
- Spectral Theory in Mathematical Physics
- Opinion Dynamics and Social Influence
- Petri Nets in System Modeling
- Advancements in Semiconductor Devices and Circuit Design
- Advanced Control Systems Optimization
Zhejiang University
2023-2025
Zhejiang University of Science and Technology
2025
Zhejiang Lab
2024
Zhejiang University of Technology
2023
Southeast University
2015
Shandong Institute of Automation
2002-2007
Chinese Academy of Sciences
2002-2007
The spectral form factor (SFF) captures universal fluctuations as signatures of quantum chaos, and has been instrumental in advancing multiple frontiers physics including the studies black holes many-body systems. measurement SFF systems is however challenging due to difficulty resolving level spacings that become exponentially small with increasing system size. Here, we utilize random toolbox perform a direct experimental SFF, hence probe presence or absence chaos on superconducting...
Greenberger-Horne-Zeilinger (GHZ) states, also known as two-component Schrödinger cats, play vital roles in the foundation of quantum physics and potential applications. Enlargement size coherent control GHZ states are both crucial for harnessing entanglement advanced computational tasks with practical advantages, which unfortunately pose tremendous challenges vulnerable to noise. Here we propose a general strategy creating, preserving, manipulating large-scale entanglement, demonstrate...
Topologically ordered phases of matter elude Landau's symmetry-breaking theory, featuring a variety intriguing properties such as long-range entanglement and intrinsic robustness against local perturbations. Their extension to periodically driven systems gives rise exotic new phenomena that are forbidden in thermal equilibrium. Here, we report the observation signatures phenomenon-a prethermal topologically time crystal-with programmable superconducting qubits arranged on square lattice. By...
The ability to realize high-fidelity quantum communication is one of the many facets required build generic computing devices. In addition processing, sensing, and storage, transferring resulting states demands a careful design that finds no parallel in classical communication. Existing experimental demonstrations information transfer solid-state systems are largely confined small chains with few qubits, often relying upon non-generic schemes. Here, by using large-scale superconducting...
The ability to realize high-fidelity quantum communication is one of the many facets required build generic computing devices. In addition processing, sensing, and storage, transferring resulting states demands a careful design that finds no parallel in classical communication. Existing experimental demonstrations information transfer solid-state systems are largely confined small chains with few qubits, often relying upon non-generic schemes. Here, by using superconducting circuit featuring...
The discovery of nontrivial topology in quantum critical states has introduced a new paradigm for classifying phase transitions and challenges the conventional belief that topological phases are typically associated with bulk energy gap. However, realizing characterizing such topologically large particle numbers remains an outstanding experimental challenge statistical condensed matter physics. Programmable processors can directly prepare manipulate exotic many-body states, offering powerful...
Symmetry-protected topological phases cannot be described by any local order parameter and are beyond the conventional symmetry-breaking paradigm for understanding quantum matter. They characterized boundary states robust against perturbations that respect protecting symmetry. In a clean system without disorder, these edge modes typically only occur ground of systems with bulk energy gap would not survive at finite temperatures due to mobile thermal excitations. Here, we report observation...
A long-standing challenge in quantum computing is developing technologies to overcome the inevitable noise qubits. To enable meaningful applications early stages of fault-tolerant computing, devising methods suppress post-correction logical failures becoming increasingly crucial. In this work, we propose and experimentally demonstrate application zero-noise extrapolation, a practical error mitigation technique, correction circuits on state-of-the-art superconducting processors. By amplifying...
Tracking the time evolution of a quantum state allows one to verify thermalization rate or propagation speed correlations in generic systems. Inspired by energy-time uncertainty principle, bounds have been demonstrated on maximal at which can change, resulting immediate and practical tasks. Based programmable superconducting processor, we test dynamics various emulated mechanical systems encompassing single- many-body states. We show that known limits modifying single Hamiltonian parameter...
<title>Abstract</title> Symmetry-protected topological phases cannot be described by any local order parameter and are beyond the conventional symmetry-breaking paradigm for understanding quantum matter. They characterized boundary modes that remain stable under symmetry respecting perturbations. In clean, gapped systems without disorder, stability of these edge is restricted to ground state manifold; at finite temperatures, interactions with mobile thermal excitations lead their decay....
Recent advancements of intermediate-scale quantum processors have triggered tremendous interest in the exploration practical advantage. The simulation fluid dynamics, a highly challenging problem classical physics but vital for applications, emerges as good candidate showing utility. Here, we report an experiment on digital unsteady flows, which consists encoding, evolution, and detection flow states, with superconducting processor. algorithm is based Hamiltonian using hydrodynamic...
Non-equilibrium quantum transport is crucial to technological advances ranging from nanoelectronics thermal management. In essence, it deals with the coherent transfer of energy and (quasi-)particles through channels between thermodynamic baths. A complete understanding thus requires ability simulate probe macroscopic microscopic physics on equal footing. Using a superconducting processor, we demonstrate emergence non-equilibrium steady by emulating baths qubit ladders realising particle...
Emerging quantum technologies hold the promise of unravelling difficult problems ranging from condensed matter to high-energy physics while, at same time, motivating search for unprecedented phenomena in their setting. Here, we use a custom-built superconducting qubit ladder realize non-thermalizing states with rich entanglement structures middle energy spectrum. Despite effectively forming an "infinite" temperature ensemble, these robustly encode information far equilibrium, as demonstrate...
Quantum computers may outperform classical on machine learning tasks. In recent years, a variety of quantum algorithms promising unparalleled potential to enhance, speed up, or innovate have been proposed. Yet, systems, similar their counterparts, likewise suffer from the catastrophic forgetting problem, where training model with new tasks would result in dramatic performance drop for previously learned ones. This problem is widely believed be crucial obstacle achieving continual multiple...
Greenberger-Horne-Zeilinger (GHZ) states, as maximally entangled Schr\"{o}dinger cat play vital roles in the foundations of quantum physics and technology, but creating preserving these fragile states pose tremendous challenges. Discrete time crystals (DTCs), originally aimed at exploring exotic nonequilibrium matters, have raised significant scientific interest, whether this brilliant concept can lead to true applications remains unclear. Here we propose an efficient protocol suitable for...
Recent advancements of quantum technologies have triggered tremendous interest in exploring practical advantage. The simulation fluid dynamics, a highly challenging problem classical physics but vital for applications, emerges as potential direction. Here, we report an experiment on the digital unsteady flows with superconducting processor. algorithm is based Hamiltonian using hydrodynamic formulation Schrödinger equation. With median fidelities 99.97% and 99.67% parallel single- two-qubit...
Non-Abelian anyons are exotic quasiparticle excitations hosted by certain topological phases of matter. They break the fermion-boson dichotomy and obey non-Abelian braiding statistics: their interchanges yield unitary operations, rather than merely a phase factor, in space spanned topologically degenerate wavefunctions. building blocks quantum computing. However, experimental observation characterizing statistics is notoriously challenging has remained elusive hitherto, spite various...
Abstract Quantum many-body systems with a non-Abelian topological order can host anyonic quasiparticles. It has been proposed that anyons could be used to encode and manipulate information in topologically protected manner is immune local noise, quantum gates performed by braiding fusing anyons. Unfortunately, realizing ordered states challenging, it was not until recently the signatures of statistics were observed through digital simulation approaches. However, all forms realize universal...
<title>Abstract</title> Quantum machine learning is among the most exciting potential applications of quantum computing. However, vulnerability information to environmental noises and consequent high cost for realizing fault tolerance has impeded models from complex datasets. Here, we introduce Adaboost.Q, a adaptation classical adaptive boosting (Adaboost) algorithm designed enhance capabilities classifiers. Based on probabilistic nature measurement, improves prediction accuracy by refining...
The spectral form factor (SFF) captures universal fluctuations as signatures of quantum chaos, and has been instrumental in advancing multiple frontiers physics including the studies black holes many-body systems. However, measurement SFF systems is challenging due to difficulty resolving level spacings that become exponentially small with increasing system size. Here we experimentally measure probe presence or absence chaos using a superconducting processor randomized protocol. For Floquet...
<title>Abstract</title> Greenberger-Horne-Zeilinger (GHZ) states [1], also known as two-component Schr\"{o}dinger cats, play vital roles in the foundation of quantum physics and, more attractively, future technologies such fault-tolerant computation [2, 3]. Enlargement size and coherent control GHZ are both crucial for harnessing entanglement advanced computational tasks with practical advantages, which unfortunately pose tremendous challenges vulnerable to noise [4, 5]. Here we propose a...
Quantum nonlocality describes a stronger form of quantum correlation than that entanglement. It refutes Einstein's belief local realism and is among the most distinctive enigmatic features mechanics. crucial resource for achieving advantages in variety practical applications, ranging from cryptography certified random number generation via self-testing to machine learning. Nevertheless, detection nonlocality, especially many-body systems, notoriously challenging. Here, we report an...
Bell nonlocality is an intrinsic feature of quantum mechanics, which can be certified via the violation inequalities. It therefore a fundamental question to certify from experimental data. Here, we present optimization scheme improve certification by exploring flexible mappings between inequalities and Hamiltonians corresponding operators. We show that several Hamiltonian models mapped new with improved classical bounds than original one, enabling more robust detection nonlocality. From...
Non-equilibrium quantum transport is crucial to technological advances ranging from nanoelectronics thermal management. In essence, it deals with the coherent transfer of energy and (quasi-)particles through channels between thermodynamic baths. A complete understanding thus requires ability simulate probe macroscopic microscopic physics on equal footing. Using a superconducting processor, we demonstrate emergence non-equilibrium steady by emulating baths qubit ladders realising particle...
Tracking the time evolution of a quantum state allows one to verify thermalization rate or propagation speed correlations in generic systems. Inspired by energy-time uncertainty principle, bounds have been demonstrated on maximal at which can change, resulting immediate and practical tasks. Based programmable superconducting processor, we test dynamics various emulated mechanical systems encompassing single- many-body states. We show that known limits modifying single Hamiltonian parameter...