A5057117506- Cold Atom Physics and Bose-Einstein Condensates
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Topological Materials and Phenomena
- Quantum many-body systems
- Quantum Mechanics and Applications
- Quantum, superfluid, helium dynamics
- Quantum and electron transport phenomena
- Atomic and Subatomic Physics Research
- Spectroscopy and Quantum Chemical Studies
- Machine Learning in Materials Science
- Neural Networks and Reservoir Computing
- Physics of Superconductivity and Magnetism
- Hip and Femur Fractures
- Quantum optics and atomic interactions
- COVID-19 epidemiological studies
- Hip disorders and treatments
- Computational Physics and Python Applications
- Pain Management and Treatment
- COVID-19 Pandemic Impacts
- Carbon Nanotubes in Composites
- Advanced Condensed Matter Physics
- Graphene research and applications
- Myofascial pain diagnosis and treatment
- Electromagnetic Simulation and Numerical Methods
Chengdu Medical College
2021-2025
Chengdu Third People's Hospital
2021-2025
Shandong Provincial Hospital
2017-2025
QuEra Computing (United States)
2020-2025
Northwest Institute of Nuclear Technology
2021-2024
Shandong First Medical University
2020-2024
China Railway Group (China)
2024
Sichuan University
2023
Bridge University
2023
West China Hospital of Sichuan University
2023
The Quantum Approximate Optimization Algorithm (QAOA) is a hybrid quantum-classical variational algorithm designed to tackle combinatorial optimization problems. Despite its promise for near-term quantum applications, not much currently understood about QAOA's performance beyond lowest-depth variant. An essential but missing ingredient understanding and deploying QAOA constructive approach carry out the outer-loop classical optimization. We provide an in-depth study of on MaxCut problems by...
Three-dimensional topological Weyl semimetals can generally support a zero-dimensional point characterized by quantized Chern number or one-dimensional nodal ring Berry phase in the momentum space. Here, dissipative system with particle gain and loss, we discover new type of ring, dubbed exceptional consisting points at which two eigenstates coalesce. Such is both phase, are defined via Riemann surface. We propose an experimental scheme to realize measure cold atomic gas trapped optical...
Realizing quantum speedup for practically relevant, computationally hard problems is a central challenge in information science. Using Rydberg atom arrays with up to 289 qubits two spatial dimensions, we experimentally investigate algorithms solving the Maximum Independent Set problem. We use hardware-efficient encoding associated blockade, realize closed-loop optimization test several variational algorithms, and subsequently apply them systematically explore class of graphs programmable...
Neutral-atom arrays have recently emerged as a promising platform for quantum information processing. One important remaining roadblock the large-scale application of these systems is ability to perform error-corrected operations. To entangle qubits in systems, atoms are typically excited Rydberg states, which could decay or give rise various correlated errors that cannot be addressed directly through traditional methods fault-tolerant computation. In this work, we provide first complete...
Programmable quantum systems based on Rydberg atom arrays have recently been used for hardware-efficient tests of optimization algorithms [Ebadi et al., Science, 376, 1209 (2022)] with hundreds qubits. In particular, the maximum independent set problem so-called unit-disk graphs, was shown to be efficiently encodable in such a system. Here, we extend classes problems that can encoded by constructing explicit mappings from wide class maximum-weighted at most quadratic overhead number We...
The floating phase, a critical incommensurate has been theoretically predicted as potential intermediate phase between crystalline ordered and disordered phases. In this study, we investigate the different quantum phases that arise in ladder arrays comprising up to 92 neutral-atom qubits experimentally observe emergence of phase. We analyze site-resolved Rydberg state densities distribution occurrences. measurement reveals formation domain walls within commensurate which subsequently...
Generative modeling using samples drawn from the probability distribution constitutes a powerful approach for unsupervised machine learning. Quantum mechanical systems can produce distributions that exhibit quantum correlations which are difficult to capture classical models. We show theoretically such provide resource generative modeling. In particular, we an unconditional proof of separation in expressive power between class widely-used models, known as Bayesian networks, and its minimal...
Background Postherpetic neuralgia (PHN) is a chronic neuropathic pain condition in elderly patients following herpes zoster infection. Conventional treatments often have inconsistent efficacy and significant side effects. Combining spinal cord stimulation (SCS) with lidocaine patches may enhance relief by targeting central peripheral mechanisms. Methods This randomized, controlled, single-blind trial enrolled 97 aged ≥60 years PHN lasting ≥6 months. Participants were assigned to SCS 5% patch...
Three-dimensional (3D) topological insulators in general need to be protected by certain kinds of symmetries other than the presumed $U(1)$ charge conservation. A peculiar exception is Hopf which are 3D characterized an integer index. To demonstrate existence and physical relevance insulators, we construct a class tight-binding model Hamiltonians realize all with arbitrary These insulator phases have topologically surface states numerically robustness these under random perturbations without...
We introduce an intermediate quantum computing model built from translation-invariant Ising-interacting spins. Despite being non-universal, the cannot be classically efficiently simulated unless polynomial hierarchy collapses. Equipped with intrinsic single-instance-hardness property, a single fixed unitary evolution in our is sufficient to produce intractable results, compared several other models that rely on implementation of ensemble different unitaries (instances). propose feasible...
We explore the feasibility of implementing a small surface code with 9 data qubits and 8 ancilla qubits, commonly referred to as surface-17, using linear chain 171Yb+ ions. Two-qubit gates can be performed between any two ions in gate time increasing linearly ion distance. Measurement state by fluorescence requires that physically separated from avoid errors on due scattered photons. minimize required measure one round stabilizers optimizing mapping two-dimensional develop motivated Pauli...
We report an experimental demonstration of a machine learning approach to identify exotic topological phases, with focus on the three-dimensional chiral insulators. show that convolutional neural networks---a class deep feed-forward artificial networks widespread applications in learning---can be trained successfully different phases protected by symmetry from raw data generated solid-state quantum simulator. Our results explicitly showcase exceptional power detection which paves way study...
.We introduce a unified framework to compute the solution space properties of broad class combinatorial optimization problems. These include finding one optimum solutions, counting number solutions given size, and enumeration sampling size. Using independent set problem as an example, we show how all these can be computed in approach generic tensor networks. We demonstrate versatility this computational tool by applying it several examples, including computing entropy constant for hardcore...
The realization of high-fidelity quantum gates in a multiqubit system, with typical target set at $99.9%$, is critical requirement for the implementation fault-tolerant computation. To reach this level fidelity, one needs to carefully analyze noises and imperfections experimental system optimize gate operations mitigate their effects. Here, we consider leading systems computation, ions an anharmonic linear Paul trap, entangling using segmented laser pulses assistance all collective...
We describe and analyze an architecture for quantum optimization to solve maximum independent set (MIS) problems using neutral atom arrays trapped in optical tweezers. Optimizing sets is one of the paradigmatic, NP-hard computer science. Our approach based on coherent manipulation via excitation into Rydberg atomic states. Specifically, we show that solutions MIS can be efficiently encoded ground state interacting atoms 2D by utilizing blockade mechanism. By studying performance leading...
The neutral-atom quantum computer "Aquila" is QuEra's latest device available through the Braket cloud service on Amazon Web Services (AWS). Aquila a "field-programmable qubit array" (FPQA) operated as an analog Hamiltonian simulator user-configurable architecture, executing programmable coherent dynamics up to 256 qubits. This whitepaper serves overview of and its capabilities: how it works under hood, key performance benchmarks, examples that demonstrate some quintessential applications....
Quantum machine learning has gained considerable attention as quantum technology advances, presenting a promising approach for efficiently complex data patterns. Despite this promise, most contemporary methods require significant resources variational parameter optimization and face issues with vanishing gradients, leading to experiments that are either limited in scale or lack potential advantage. To address this, we develop general-purpose, gradient-free, scalable reservoir algorithm...
We propose a feasible experimental scheme to realize three-dimensional chiral topological insulator with cold fermionic atoms in an optical lattice, which is characterized by integer invariant distinct from the conventional Z(2) insulators and has remarkable macroscopic zero-energy flat band. To probe its property, we show that characteristic surface states--the Dirac cones--can be probed through time-of-flight imaging or Bragg spectroscopy band can detected via measurement of atomic density...
Cold-atom experiments in optical lattices offer a versatile platform to realize various topological quantum phases. A key challenge those is unambiguously probe the order. We propose method directly measure characteristic invariants (order) based on time-of-flight imaging of cold atoms. The generally applicable detection band insulators one, two, or three dimensions characterized by integer invariants. Using Chern number for 2D anomalous Hall states and Chern-Simons term 3D chiral as...
The local phonon modes in a Coulomb crystal of trapped ions can represent Hubbard system coupled bosons. We selectively prepare single excitations at each site and observe free hopping boson between sites, mediated by the long-range interaction ions. then implement blockades on targeted sites driving Jaynes-Cummings individually addressed to couple their internal spin mode. resulting dressed states have energy splittings that be tuned suppress into site. This new experimental approach opens...
The tumor immune microenvironment is closely related to the malignant progression and treatment resistance of glioma. Long non-coding RNA (lncRNA) plays a regulatory role in this process. We investigated pathological mechanisms within glioma potential immunotherapy lncRNAs. downloaded datasets derived from patients analyzed them by hierarchical clustering. Next, we glioma, gene expression, patient survival. Coexpressed lncRNAs were generate model immune-related genes. using survival Cox...
Abstract Quantum spin liquids are elusive but paradigmatic examples of strongly correlated quantum states that characterized by long-range entanglement. Recently, signatures a gapped topological $${{\mathbb{Z}}}_{2}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mrow><mml:mi>Z</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> liquid have been observed in system Rydberg atoms; however, the full capability these platforms to realize...