Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A diverse set of two-qubit gates for spin qubits in semiconductor quantum dots
M. Ni, Rong-Long Ma, Zhen-Zhen Kong +11 more·Apr 29, 2024
To realize large-scale quantum information processes, an ideal scheme for two-qubit operations should enable diverse operations with given hardware and physical interaction. However, for spin qubits in semiconductor quantum dots, the common two-qubit...
Fault-tolerant compiling of classically hard IQP circuits on hypercubes
Dominik Hangleiter, Marcin Kalinowski, D. Bluvstein +6 more·Apr 29, 2024
Realizing computationally complex quantum circuits in the presence of noise and imperfections is a challenging task. While fault-tolerant quantum computing provides a route to reducing noise, it requires a large overhead for generic algorithms. Here,...
The impact of noise on the simulation of NMR spectroscopy on NISQ devices
A. Khedri, Pascal Stadler, Kirsten Bark +5 more·Apr 29, 2024
With the surge of quantum computing platforms that continue to push the boundaries of capabilities of noisy intermediate-scale quantum computers, there is a growing interest in finding relevant applications and quantifying the corresponding error bud...
Stability of Quantum Computers
Samudra Dasgupta·Apr 29, 2024
Quantum computing's potential is immense, promising super-polynomial reductions in execution time, energy use, and memory requirements compared to classical computers. This technology has the power to revolutionize scientific applications such as sim...
How to surpass no-go limits in Gaussian quantum error correction and entangled Gaussian state distillation?
En-Jui Chang, Ching-Yi Lai·Apr 29, 2024
Gaussian quantum information processing with continuous-variable (CV) quantum information carriers holds significant promise for applications in quantum communication and quantum internet. However, applying Gaussian state distillation and quantum err...
Quantum-enhanced learning with a controllable bosonic variational sensor network
Pengcheng Liao, Bingzhi Zhang, Quntao Zhuang·Apr 28, 2024
The emergence of quantum sensor networks has presented opportunities for enhancing complex sensing tasks, while simultaneously introducing significant challenges in designing and analyzing quantum sensing protocols due to the intricate nature of enta...
Evaluating a quantum-classical quantum Monte Carlo algorithm with Matchgate shadows
Benchen Huang, Yi-Ting Chen, Brajesh Gupt +4 more·Apr 28, 2024
Solving the electronic structure problem of molecules and solids to high accuracy is a major challenge in quantum chemistry and condensed matter physics. The rapid emergence and development of quantum computers offer a promising route to systematical...
XGSwap: eXtreme Gradient boosting Swap for Routing in NISQ Devices
Jean-Baptiste Waring, Christophe Pere, S. L. Beux·Apr 27, 2024
In the current landscape of noisy intermediate-scale quantum (NISQ) computing, the inherent noise presents significant challenges to achieving high-fidelity long-range entanglement. Furthermore, this challenge is amplified by the limited connectivity...
Red-QAOA: Efficient Variational Optimization through Circuit Reduction
Meng Wang, B. Fang, Ang Li +1 more·Apr 27, 2024
The Quantum Approximate Optimization Algorithm (QAOA) addresses combinatorial optimization challenges by converting inputs to graphs. However, the optimal parameter searching process of QAOA is greatly affected by noise. Larger problems yield bigger ...
Clapton: Clifford Assisted Problem Transformation for Error Mitigation in Variational Quantum Algorithms
L. M. Seifert, Siddharth Dangwal, F. Chong +1 more·Apr 27, 2024
Variational quantum algorithms (VQAs) show potential for quantum advantage in the near term of quantum computing, but demand a level of accuracy that surpasses the current capabilities of NISQ devices. To systematically mitigate the impact of quantum...
A manufacturable platform for photonic quantum computing
Koen Avishai Dylan Damien Stanley Ben Hugo Geoff Gabrie Alexander Benyamini Black Bonneau Burgos Burridge , Koen Alexander, A. Benyamini +99 more·Apr 26, 2024
Although holding great promise for low noise, ease of operation and networking1, useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions2, 3, 4, 5–6. Here we introduce a ma...
Finite Key Security of Simplified Trusted Node Networks
Walter O. Krawec, Bing Wang, Ryan J Brown·Apr 26, 2024
Simplified trusted nodes (STNs) are a form of trusted node for quantum key distribution (QKD) networks which do not require running a full QKD stack every instance (i.e., they do not need to run error correction and privacy amplification each session...
An Interpretable Quantum Adjoint Convolutional Layer for Image Classification
Ren-Xin Zhao, Shi Wang, Yaonan Wang·Apr 26, 2024
The interpretability of quantum machine learning (QML) refers to the capability to provide clear and understandable explanations for the predictions and decision-making processes of QML models. However, most quantum convolutional layers (QCLs) utiliz...
Stable Symmetry-Protected Topological Phases in Systems with Heralded Noise.
Sanket Chirame, Fiona J. Burnell, Sarang Gopalakrishnan +1 more·Apr 25, 2024
We present a family of local quantum channels whose steady states exhibit stable mixed-state symmetry-protected topological (SPT) order. Motivated by recent experimental progress on "erasure conversion" techniques that allow one to identify (herald) ...
High-Coherence Kerr-Cat Qubit in 2D Architecture
Ahmed Hajr, Bingcheng Qing, Ke Wang +15 more·Apr 25, 2024
The Kerr-cat qubit is a bosonic qubit in which multiphoton Schrödinger cat states are stabilized by applying a two-photon drive to an oscillator with a Kerr nonlinearity. The suppressed bit-flip rate with increasing cat size makes this qubit a promis...
Simulating unsteady flows on a superconducting quantum processor
Zhaoyuan Meng, Jiarun Zhong, Shibo Xu +24 more·Apr 24, 2024
Recent advancements of quantum technologies have triggered tremendous interest in exploring practical quantum advantage. The simulation of fluid dynamics, a highly challenging problem in classical physics but vital for practical applications, emerges...
Extension of a pattern recognition validation approach for noisy boson sampling
Y. Ji, Yongzheng Wu, Shi Wang +3 more·Apr 24, 2024
Boson sampling is one of the main quantum computation models to demonstrate the quantum computational advantage. However, this aim may be hard to realize considering two main kinds of noises, which are photon distinguishability and photon loss. Inspi...
Optimal entanglement generation in optomechanical systems via Krotov control of covariance matrix dynamics
Pengju Chen, Da-Wei Luo, Ting Yu·Apr 24, 2024
We investigate the optimal control of a continuous variable system, focusing on entanglement generation in an optomechanical system without utilizing Fock basis cutoffs. Using the Krotov algorithm to optimize the dynamics of the covariance matrix, we...
Quantum Computational Advantage with Constant-Temperature Gibbs Sampling
Thiago Bergamaschi, Chi-Fang Chen, Yunchao Liu·Apr 23, 2024
A quantum system coupled to a bath at some fixed, finite temperature converges to its Gibbs state. This thermalization process defines a natural, physically-motivated model of quantum computation. However, whether quantum computational advantage can ...
A novel perspective on denoising using quantum localization with application to medical imaging
Amirreza Hashemi, Sayantan Dutta, B. Georgeot +2 more·Apr 22, 2024
Background noise in many fields such as medical imaging poses significant challenges for accurate diagnosis, prompting the development of denoising algorithms. Traditional methodologies, however, often struggle to address the complexities of noisy en...