Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,522 papers in 12 months (-19% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
From Theory to Practice: Analyzing Variational Quantum Power Method for Quantum Optimization of QUBO Problems
Ammar Daskin·May 19, 2025
The variational quantum power method (VQPM), which adapts the classical power iteration algorithm for quantum settings, has shown promise for eigenvector estimation and optimization on quantum hardware. In this work, we provide a comprehensive theore...
Quantum Algorithms for Causal Estimands
Rishi Goel, Casey R. Myers, Sally Shrapnel·May 19, 2025
Modern machine learning (ML) methods typically fail to adequately capture causal information. Consequently, such models do not handle data distributional shifts, are vulnerable to adversarial examples, and often learn spurious correlations. Causal ML...
Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing
Hyunseong Kim, Gyunghyun Jang, Seungwon Jin +8 more·May 19, 2025
The Josephson junction is the fundamental nonlinear building block of superconducting quantum technologies. Its macroscopic quantum tunneling physics underpins superconducting quantum computing, sensing, and communication, but scaling these platforms...
Genesis: A Compiler Framework for Hamiltonian Simulation on Hybrid CV-DV Quantum Computers
Zihan Chen, Jiakang Li, Minghao Guo +7 more·May 19, 2025
This paper introduces Genesis, the first compiler designed to support Hamiltonian Simulation on hybrid continuous-variable (CV) and discrete-variable (DV) quantum computing systems. Genesis is a two-level compilation system. At the first level, it de...
Pursuit and Review of Magnetic Resonance Imaging (MRI) based Quantum Computing -- Qubit Generation, Spin Purification, Tailored RF Pulses and MRI Sequences for Quantum Computing
Z. Cho, J. Han, D. Suk +5 more·May 19, 2025
We propose a novel MRI (Magnetic Resonance Imaging) technique based quantum bit (qubit) generation with water proton NMR (1H-NMR), distinct from previously proposed NMR chemical shift or spectroscopic techniques based qubit generation. We briefly rev...
Level Generation With Quantum Reservoir Computing
Joao S. Ferreira, Pierre Fromholz, Hari Shaji +2 more·May 19, 2025
Reservoir computing is a form of machine learning particularly suited for time-series analysis, including forecasting predictions. We take an implementation of quantum reservoir computing that was initially designed to generate variants of musical sc...
Fast correlated decoding of transversal logical algorithms
M. Cain, D. Bluvstein, Chen Zhao +7 more·May 19, 2025
Quantum error correction (QEC) is required for large-scale computation, but incurs a significant resource overhead. Recent advances have shown that by jointly decoding logical qubits in algorithms composed of transversal gates, the number of syndrome...
Demystifying the Balanced Product Code: A Review
Heather Leitch, Alastair Kay·May 19, 2025
The discovery of the family of balanced product codes was pivotal in the subsequent development of 'good' low density quantum error correcting codes that have optimal scaling of the key parameters of distance and storage density. We review this famil...
Krein space quantization and new quantum algorithms
M. Takook·May 19, 2025
Krein space quantization and the ambient space formalism have been successfully applied to address challenges in quantum geometry (e.g. quantum gravity) and the axiomatic formulation of quantum Yang–Mills theory, including phenomena such as color con...
Multireference Embedding and Fragmentation Methods for Classical and Quantum Computers: From Model Systems to Realistic Applications.
Shreya Verma, Abhishek Mitra, Qiaohong Wang +8 more·May 19, 2025
One of the primary challenges in quantum chemistry is the accurate modeling of strong electron correlation. While multireference methods effectively capture such correlation, their steep scaling with system size prohibits their application to large m...
A Game-Theoretic Quantum Algorithm for Solving Magic Squares
Sarah Chehade, Andrea Delgado, Elaine Wong·May 19, 2025
Variational quantum algorithms (VQAs) offer a promising near-term approach to finding optimal quantum strategies for playing non-local games. These games test quantum correlations beyond classical limits and enable entanglement verification. In this ...
Improving adiabatic quantum factorization via chopped random-basis optimization
Tian-Le Yang, Mo Xiong, Ming Xue +2 more·May 19, 2025
Integer factorization remains a significant challenge for classical computers and is fundamental to the security of RSA encryption. Adiabatic quantum algorithms present a promising solution, yet their practical implementation is limited by the short ...
Learning Best Paths in Quantum Networks
Xuchuang Wang, Maoli Liu, Xutong Liu +4 more·May 19, 2025
Quantum networks (QNs) transmit delicate quantum information across noisy quantum channels. Crucial applications, like quantum key distribution (QKD) and distributed quantum computation (DQC), rely on efficient quantum information transmission. Learn...
Optimization of Hybrid Quantum-Classical Algorithms
Lian Remme, Alexander Weinert, Andre Waschk·May 19, 2025
Quantum computers do not run in isolation; rather, they are embedded in quantum-classical hybrid architectures. In these setups, a quantum processing unit communicates with a classical device in near-real time. To enable efficient hybrid computations...
Efficient Generation of Parameterised Quantum Circuits from Large Texts
C. Krawchuk, Nikhil Khatri, Neil John Ortega +1 more·May 19, 2025
Quantum approaches to natural language processing (NLP) are redefining how linguistic information is represented and processed. While traditional hybrid quantum-classical models rely heavily on classical neural networks, recent advancements propose a...
Parametric Stability Analysis for Circuit Quantum Electrodynamical Hardwares
Maria Gabriela Boada, Andrea Delgado, Jose Morales Escalante·May 19, 2025
The transmon qubit, essential to quantum computation, exhibits disordered dynamics under strong parametric drives, critical to its control. We present a combined theoretical and numerical study of stability regions in circuit QED using Floquet theory...
Quantum Knowledge Distillation for Large Language Models
Lingxiao Li, Yihao Wang, Jiacheng Fan +4 more·May 19, 2025
As foundational tools in natural language processing, Large Language Models (LLMs) have immense parameter scales, which makes deployment and inference increasingly prohibitive, especially in resource-constrained devices. Therefore, knowledge distilla...
Joint Optimization of Routing and Purification to Meet Fidelity Targets in Quantum Networks
Gongyu Ni, Holger Claussen, Lester Ho·May 18, 2025
Quantum networks rely on high-fidelity entanglement links, but achieving target fidelity often increases latency and Bell pair consumption due to purification. This paper proposes a cost-based scheduler that jointly optimizes path selection and purif...
Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting
Chi-Sheng Chen, En-Jui Kuo·May 18, 2025
Recent advancements in neural sequence modeling have led to architectures such as RWKV, which combine recurrent-style time mixing with feedforward channel mixing to enable efficient long-context processing. In this work, we propose QuantumRWKV, a hyb...
Learning to Program Quantum Measurements for Machine Learning
S. Y. Chen, H. Tseng, Hsin-Yi Lin +1 more·May 18, 2025
The rapid advancements in quantum computing (QC) and machine learning (ML) have sparked significant interest, driving extensive exploration of quantum machine learning (QML) algorithms to address a wide range of complex challenges. The development of...