Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum Natural Gradient optimizer on noisy platforms: QAOA as a case study
Federico Dell'Anna, Rafael Gomez-Lurbe, Armando Pérez +1 more·Feb 27, 2025
We investigate the performance of the Quantum Natural Gradient (QNG) optimizer in the presence of noise. Specifically, we evaluate the efficacy of QNG within the Quantum Approximate Optimization Algorithm (QAOA) for finding the ground state of the Tr...
Polynomial time classical versus quantum algorithms for representation theoretic multiplicities
Greta Panova·Feb 27, 2025
Littlewood-Richardson, Kronecker and plethysm coefficients are fundamental multiplicities of interest in Representation Theory and Algebraic Combinatorics. Determining a combinatorial interpretation for the Kronecker and plethysm coefficients is a ma...
Exploring experimental limit of deep quantum signal processing using a trapped-ion simulator
J. Bu, Lei Zhang, Zhan Yu +12 more·Feb 27, 2025
Quantum signal processing (QSP), which enables systematic polynomial transformations on quantum data through sequences of qubit rotations, has emerged as a fundamental building block for quantum algorithms and data re-uploading quantum neural network...
An Amplitude-Encoding-Based Classical-Quantum Transfer Learning framework: Outperforming Classical Methods in Image Recognition
Shouwei Hu, Xi Li, Banyao Ruan +1 more·Feb 27, 2025
The classical-quantum transfer learning (CQTL) method is introduced to address the challenge of training large-scale, high-resolution image data on a limited number of qubits (ranging from tens to hundreds) in the current Noisy Intermediate-Scale qua...
Quantum generative classification with mixed states
Diego H. Useche, Sergio Quiroga-Sandoval, S. Molina +3 more·Feb 27, 2025
Classification can be performed using either a discriminative or a generative learning approach. Discriminative learning consists of constructing the conditional probability of the outputs given the inputs, while generative learning consists of const...
AI-Powered Noisy Quantum Emulation: Generalized Gate-Based Protocols for Hardware-Agnostic Simulation
Matthew Ho, Jun Yong Khoo, A. Mak +1 more·Feb 27, 2025
Quantum computer emulators model the behavior and error rates of specific quantum processors. Without accurate noise models in these emulators, it is challenging for users to optimize and debug executable quantum programs prior to running them on the...
Advancements and Challenges in Quantum Machine Learning for Medical Image Classification: A Comprehensive Review
Md. Farhan Shahriyar, Gazi Tanbhir·Feb 27, 2025
Quantum technologies are rapidly advancing as image classification tasks grow more complex due to large image volumes and extensive parameter updates required by traditional machine learning models. Quantum Machine Learning (QML) offers a promising s...
On the Interpretability of Neural Network Decoders
Lukas Bödeker, Luc J. B. Kusters, Markus Müller·Feb 27, 2025
Neural‐network (NN) based decoders are becoming increasingly popular in the field of quantum error correction (QEC), including for decoding of state‐of‐the‐art quantum computation experiments. In this work, established interpretability methods are us...
Universal quantum control with dynamical correction
Zhu-yao Jin, Jun Jing·Feb 27, 2025
Error correction is generally demanded in large-scale quantum information processing and quantum computation. We provide here a universal and realtime control strategy to dynamically correct the arbitrary type of errors in the system Hamiltonian. It ...
Shadow measurements for feedback-based quantum optimization
Leticia Bertuzzi, Joao P. Engster, E. C. R. Da Rosa +1 more·Feb 27, 2025
Improving the performance of quantum algorithms is a fundamental task to achieve quantum advantage. In many cases, extracting information from quantum systems poses an important challenge for practical implementations in real-world quantum computers,...
Enhancing quantum computations with the synergy of auxiliary field quantum Monte Carlo and computational basis tomography
V. Khinevich, Wataru Mizukami·Feb 27, 2025
We introduce QC-CBT-AFQMC, a hybrid algorithm that incorporates computational basis tomography (CBT) into the quantum-classical auxiliary-field quantum Monte Carlo (QC-AFQMC) method proposed by Huggins et al. [Nature 603, 416-420 (2022)], replacing t...
Applications of the Quantum Phase Difference Estimation Algorithm to the Excitation Energies in Spin Systems on a NISQ Device
Boni Paul, S. B. Mandal, Kenji Sugisaki +1 more·Feb 27, 2025
The Quantum Phase Difference Estimation (QPDE) algorithm, as an extension of the Quantum Phase Estimation (QPE), is a quantum algorithm designed to compute the differences of two eigenvalues of a unitary operator by exploiting the quantum superpositi...
The Octo-Rail Lattice: a four-dimensional cluster state design
Emil E. B. Østergaard, Niklas Budinger, Mikkel V. Larsen +3 more·Feb 26, 2025
Macronode cluster states are promising for fault-tolerant continuous-variable quantum computation, combining gate teleportation via homodyne detection with the Gottesman-Kitaev-Preskill code for universality and error correction. While the two-dimens...
Experimental observation of exact quantum critical states
Wenhui Huang, Xin-Chi Zhou, Libo Zhang +29 more·Feb 26, 2025
Anderson localization physics features three fundamental types of eigenstates: extended, localized, and critical, with the third one exhibiting the exotic properties in-between the former two. Confirming the presence of critical states is challenging...
Digital-Analog quantum Rabi simulation in the Deep Strong Coupling Regime
Noureddine Rochdi, Rachid Ahl Laamara, Mohamed Bennai·Feb 26, 2025
We study the quantum Rabi model (QRM) in the deep strong coupling (DSC) regime. To capture the full dynamics of the QRM in the DSC regime, we implemented single-qubit rotations combined with integrated digital steps and qubit-bosonic blocks. This app...
Oddities in the Entanglement Scaling of the Quantum Six-Vertex Model
Sunny Pradhan, Jesús Cobos, Enrique Rico +1 more·Feb 26, 2025
We investigate the entanglement properties of the Quantum Six-Vertex Model on a cylinder, focusing on the Shannon-Renyi entropy in the limit of Renyi order $n = \infty$. This entropy, calculated from the ground state amplitudes of the equivalent XXZ ...
Evaluation of quantum entanglement state between photoelectron spin and emitted photon polarization in spin and polarization resolved XEPECS of $\rm Ti_{2}O_{3}$
Ryo B. Tanaka, Goro Oohata, Takayuki Uozumi·Feb 26, 2025
We theoretically investigated the mechanism of quantum entanglement between the spin of photoelectrons and linear polarization of emitted X-ray photons in the 3$d\rightarrow\ $2$p$ XEPECS process for $\rm Ti_{2}O_{3}$. In the calculation, we used a r...
Work Statistics via Real-Time Effective Field Theory: Application to Work Extraction from Thermal Bath with Qubit Coupling
Jhh-Jing Hong, Feng-Li Lin·Feb 26, 2025
Quantum thermal states are known to be passive, as required by the second law of thermodynamics. This paper investigates the potential for work extraction by coupling a thermal bath to a qubit of either spin, fermionic, or topological type, which act...
Calibrating quantum gates up to 52 qubits in a superconducting processor
D. Fan, Guoding Liu, Shaowei Li +18 more·Feb 26, 2025
Benchmarking large-scale quantum gates, typically involving multiple native two-qubit and single-qubit gates, is crucial in quantum computing. Global fidelity, encompassing information about inter-gate correlations, offers a comprehensive metric for ...
Comparison of encoding schemes for quantum computing of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>S</mml:mi><mml:mo>></mml:mo><mml:mn>1</mml:mn><mml:mi>/</mml:mi><mml:mn>2</mml:mn></mml:mrow></mml:math> spin chains
E. Lotstedt, Kaoru Yamanouchi·Feb 26, 2025
We compare four different encoding schemes for the quantum computing of spin chains with a spin quantum number $S>1/2$: a compact mapping, a direct (or one-hot) mapping, a Dicke mapping, and a qudit mapping. The three different qubit encoding schemes...