相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Physics, Multidisciplinary
Chen Ding et al.
Summary: Compression readout is a quantum state readout method that achieves higher accuracy by compressing the quantum state into a single qubit for measurement, eliminating large multi-qubit measurement errors. It outperforms direct measurements and the advantage increases with system size. The method requires only fine readout calibration on one qubit and avoids correlated measurement error, reducing the demand for device calibration. These advantages suggest that it can immediately boost the readout performance of near-term quantum devices and greatly benefit the development of large-scale quantum computing.
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
(2023)
Review
Physics, Multidisciplinary
He-Liang Huang et al.
Summary: Quantum computing is a transformative technology with broad applications, but the development of a fully mature quantum computer is still a long-term goal. In the meantime, near-term quantum devices with noise and limited qubits are being utilized, and various techniques like variational quantum algorithms and error mitigation are being developed to enhance their capabilities and enable useful applications. Efficient classical simulation also plays a crucial role in quantum algorithm design and verification. This review provides an introduction to these near-term quantum computing techniques, reports on their progress, and discusses their future prospects.
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
(2023)
Article
Multidisciplinary Sciences
Qingling Zhu et al.
Summary: To maintain a long-term quantum computational advantage, upgrading quantum hardware is necessary to compete against continuously improved classical algorithms and hardware. Researchers have demonstrated a superconducting quantum computing system, Zuchongzhi 2.1, with 66 qubits in a tunable coupler architecture. The improved readout fidelity and more powerful quantum processor enable larger-scale random quantum circuit sampling, enhancing the quantum computational advantage significantly.
Article
Physics, Multidisciplinary
Youwei Zhao et al.
Summary: This article describes an experimental implementation of an error-correcting surface code on a superconducting quantum processor. By executing multiple consecutive error correction cycles, logical errors were significantly reduced, providing a key step towards scalable fault-tolerant quantum computing.
PHYSICAL REVIEW LETTERS
(2022)
Article
Multidisciplinary Sciences
Hsin-Yuan Huang et al.
Summary: Quantum technology, particularly quantum machine learning, offers substantial advantages over conventional methods in terms of efficiency and effectiveness. By conducting experiments with quantum processors, we have demonstrated the exponential advantage of quantum machines in predicting physical properties, performing quantum principal component analysis, and learning about physical dynamics. The resources required for achieving this advantage are also relatively modest in some cases.
Article
Computer Science, Interdisciplinary Applications
Wenhui Ren et al.
Summary: Quantum computing can enhance machine learning and artificial intelligence, but quantum classifiers are susceptible to adversarial perturbations. Experimental demonstration using programmable superconducting qubits showed that adversarial training can significantly improve the classifiers' resistance to perturbations.
NATURE COMPUTATIONAL SCIENCE
(2022)
Article
Optics
Chen Ding et al.
Summary: The research found that leakage noise generally reduces the expressiveness of variational quantum algorithms and has a negative impact on VQAs in real-world learning tasks.
Article
Physics, Multidisciplinary
Qiujiang Guo et al.
Summary: The study of many-body localization phenomenon revealed the crucial role played by initial energy using a quantum processor with programmable superconducting processor. The onset of localization was found to occur at different disorder strengths with distinguishable energy scales, as observed through time-evolved observables and quantities related to many-body wave functions. This opens avenues for experimental exploration of many-body mobility edges in MBL systems.
Article
Physics, Multidisciplinary
Yulin Wu et al.
Summary: In this study, a two-dimensional programmable superconducting quantum processor named "Zuchongzhi" with 66 functional qubits was developed and used for random quantum circuits sampling to demonstrate quantum computational advantage. The high-precision and programmable quantum computing platform showed exponential outpacing of classical hardware and algorithmic improvements.
PHYSICAL REVIEW LETTERS
(2021)
Article
Physics, Multidisciplinary
He-Liang Huang et al.
Summary: A quantum simulation of topological quantum computing was performed by teleporting a qubit encoded in Majorana zero modes of a Kitaev chain. The teleportation circuit, realized using only braiding operations, benefited from Majorana encoding for error detection and correction, leading to an improvement in average fidelity of teleported states.
PHYSICAL REVIEW LETTERS
(2021)
Article
Physics, Multidisciplinary
Timo Felser et al.
Summary: We present a novel tensor network structure to enhance the representation of a quantum many-body wave function, which satisfies the area law in high dimensions and remains efficiently manipulatable. By benchmarking against two-dimensional spin models, we demonstrate unprecedented precision and scalability. Furthermore, we compute the ground state phase diagram of two-dimensional lattice Rydberg atoms, observing nontrivial phases and quantum phase transitions for realistic benchmarks in current and future two-dimensional quantum simulations.
PHYSICAL REVIEW LETTERS
(2021)
Article
Multidisciplinary Sciences
Ming Gong et al.
Summary: The study designed and fabricated a high-fidelity two-dimensional superconducting qubit array, demonstrating single- and double-particle quantum walks, realizing a Mach-Zehnder interferometer, and observing interference fringes. This work represents a milestone in bringing larger-scale quantum applications closer to realization on noisy intermediate-scale quantum processors.
Article
Multidisciplinary Sciences
Sepehr Ebadi et al.
Summary: This paper demonstrates a programmable quantum simulator based on deterministic arrays of neutral atoms, realizing a quantum spin model with tunable interactions and investigating various new quantum phases and interactions. These observations offer a new perspective on the study of complex quantum matter and pave the way for investigations of exotic quantum phases and hardware-efficient realization of quantum algorithms.
Article
Physics, Multidisciplinary
Yunchao Liu et al.
Summary: Research shows that heuristic quantum kernel methods can achieve quantum speed-up with only classical data access, and a classification problem is constructed to demonstrate this.
Article
Physics, Multidisciplinary
Fusheng Chen et al.
Summary: This experimental study investigates the ergodic dynamics of a 1D array of 12 superconducting qubits with a transverse field, identifying strong and weak thermalization regimes. In the strong-thermalization regime, local observables converge to their thermal expectation values, while in the weak-thermalization regime, local observables exhibit oscillations around thermal values that require time averaging. Additionally, the study demonstrates that entanglement entropy and concurrence can characterize these distinct thermalization regimes.
PHYSICAL REVIEW LETTERS
(2021)
Article
Physics, Multidisciplinary
Junhua Liu et al.
Summary: The study introduces a hybrid quantum-classical convolutional neural network that can efficiently perform feature mapping on noisy intermediate-scale quantum computers, proposes a framework for automatic computation of loss function gradients, and demonstrates the architecture's potential in surpassing classical CNN in learning accuracy for classification tasks.
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
(2021)
Article
Physics, Applied
He-Liang Huang et al.
Summary: Quantum machine learning is seen as one of the early practical applications of near-term quantum devices, with quantum generative adversarial networks showing potential exponential advantages over classical GANs. However, it is uncertain whether quantum GANs on near-term quantum devices can solve real-world learning tasks. Researchers have developed a flexible quantum GAN scheme and successfully applied it to learning and generating real-world handwritten digit images using a superconducting quantum processor, showcasing the potential of quantum GANs in learning tasks.
PHYSICAL REVIEW APPLIED
(2021)
Article
Physics, Multidisciplinary
Ming Gong et al.
Summary: As disorder strength exceeds a threshold value in many-body systems, a transformation known as many-body localization occurs, breaking down fundamental principles of statistical mechanics. Investigating the transition point remains challenging, but detecting it experimentally is possible by exploiting the sensitivity of dynamics to random samples, leaving fingerprints on all spatial scales. Additionally, evidence of a mobility edge can be detected by slight variations of the transition point with changes in the initial state, and the scalable protocol can be implemented across various physical platforms.
PHYSICAL REVIEW RESEARCH
(2021)
Article
Physics, Multidisciplinary
Hongzheng Zhao et al.
PHYSICAL REVIEW LETTERS
(2020)
Article
Physics, Multidisciplinary
Maximilian Pruefer et al.
Article
Physics, Multidisciplinary
Hsin-Yuan Huang et al.
Review
Computer Science, Information Systems
He-Liang Huang et al.
SCIENCE CHINA-INFORMATION SCIENCES
(2020)
Article
Optics
Adrian Parra-Rodriguez et al.
Article
Computer Science, Information Systems
Yaoshiang Ho et al.
Article
Physics, Mathematical
Sergey Bravyi et al.
JOURNAL OF MATHEMATICAL PHYSICS
(2019)
Article
Physics, Multidisciplinary
Roger G. Melko et al.
Article
Physics, Multidisciplinary
Yangsen Ye et al.
PHYSICAL REVIEW LETTERS
(2019)
Article
Physics, Multidisciplinary
Iris Cong et al.
Review
Quantum Science & Technology
Marcello Benedetti et al.
QUANTUM SCIENCE AND TECHNOLOGY
(2019)
Article
Materials Science, Multidisciplinary
Tuure Orell et al.
Article
Optics
Maria Schuld et al.
Article
Physics, Multidisciplinary
Giacomo Torlai et al.
Article
Physics, Multidisciplinary
Kai Xu et al.
PHYSICAL REVIEW LETTERS
(2018)
Article
Multidisciplinary Sciences
O. Thomas et al.
NATURE COMMUNICATIONS
(2018)
Article
Multidisciplinary Sciences
Jose M. Escalante et al.
SCIENTIFIC REPORTS
(2018)
Article
Multidisciplinary Sciences
Giuseppe Carleo et al.
NATURE COMMUNICATIONS
(2018)
Article
Optics
K. Mitarai et al.
Article
Materials Science, Multidisciplinary
Zi Cai et al.
Article
Multidisciplinary Sciences
Thomas Schweigler et al.
Article
Multidisciplinary Sciences
J. Zhang et al.
Article
Multidisciplinary Sciences
Hannes Bernien et al.
Article
Physics, Multidisciplinary
B. P. Lanyon et al.
Article
Physics, Multidisciplinary
Juan Carrasquilla et al.
Article
Multidisciplinary Sciences
Giuseppe Carleo et al.
Article
Multidisciplinary Sciences
Xun Gao et al.
NATURE COMMUNICATIONS
(2017)
Review
Physics, Multidisciplinary
J. Eisert et al.
Article
Multidisciplinary Sciences
Marcus Cramer et al.
NATURE COMMUNICATIONS
(2010)
Article
Physics, Multidisciplinary
R. C. Kuhn et al.
NEW JOURNAL OF PHYSICS
(2007)
Article
Physics, Multidisciplinary
G Vidal
PHYSICAL REVIEW LETTERS
(2004)
