Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
27,548
This Month
1,041
Today
0
Research Volume
12,910 papers in 12 months (-5% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Comparing Quantum Annealing and BF-DCQO
Pau Farré, Erika Ordog, Kevin Chern +1 more·Sep 17, 2025
Recent work [1] has claimed that a gate-model quantum-classical hybrid algorithm called bias-field digitized counterdiabatic quantum optimization (BF-DCQO) [2] outperforms D-Wave's annealing quantum computers in optimization tasks. We find the opposi...
Quantum Reinforcement Learning-Guided Diffusion Model for Image Synthesis via Hybrid Quantum-Classical Generative Model Architectures
Chi-Sheng Chen, En-Jui Kuo·Sep 17, 2025
Diffusion models typically employ static or heuristic classifier-free guidance (CFG) schedules, which often fail to adapt across timesteps and noise conditions. In this work, we introduce a quantum reinforcement learning (QRL) controller that dynamic...
Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks
Jiun-Cheng Jiang, Morris Yu-Chao Huang, Tianlong Chen +1 more·Sep 17, 2025
Variational quantum circuits (VQCs) are central to quantum machine learning, while recent progress in Kolmogorov-Arnold networks (KANs) highlights the power of learnable activation functions. We unify these directions by introducing quantum variation...
Solving Differential Equation with Quantum-Circuit Enhanced Physics-Informed Neural Networks
Rachana Soni·Sep 17, 2025
I present a simple hybrid framework that combines physics informed neural networks (PINNs) with features generated from small quantum circuits. As a proof of concept, a first-order equation is solved by feeding quantum measurement probabilities into ...
Quantum Simulations of Battery Electrolytes with VQE-qEOM and SQD: Active-Space Design, Dissociation, and Excited States of LiPF$_6$, NaPF$_6$, and FSI Salts
Sk Mujaffar Hossain, Seung-Cheol Lee, Satadeep Bhattacharjee·Sep 17, 2025
Accurate prediction of excited states in battery electrolytes is central to understanding photostability, oxidative stability, and degradation. We employ hybrid quantum-classical algorithms -- the Variational Quantum Eigensolver (VQE) for ground stat...
Hybrid Quantum-Classical Neural Networks for Few-Shot Credit Risk Assessment
Zheng-an Wang, Yanbo J. Wang, Jiachi Zhang +11 more·Sep 17, 2025
Quantum Machine Learning (QML) offers a new paradigm for addressing complex financial problems intractable for classical methods. This work specifically tackles the challenge of few-shot credit risk assessment, a critical issue in inclusive finance w...
QLook:Quantum-Driven Viewport Prediction for Virtual Reality
Niusha Sabri Kadijani, Yoga Suhas Kuruba Manjunath, Xiaodan Bi +1 more·Sep 16, 2025
We propose QLook, a quantum-driven predictive framework to improve viewport prediction accuracy in immersive virtual reality (VR) environments. The framework utilizes quantum neural networks (QNNs) to model the user movement data, which has multiple ...
Resisting Quantum Key Distribution Attacks Using Quantum Machine Learning
Ali Al-kuwari, Noureldin Mohamed, Saif Al-kuwari +2 more·Sep 16, 2025
The emergence of quantum computing poses significant risks to the security of modern communication networks as it breaks today's public-key cryptographic algorithms. Quantum Key Distribution (QKD) offers a promising solution by harnessing the princip...
Real-time vacuum-state quantum random number generator on a chip
Guan-Ru Qiao, Bing Bai, Zi-Xuan Weng +6 more·Sep 16, 2025
Quantum random number generators (QRNGs) produce true random numbers, which are guaranteed by the fundamental principles of quantum physics. Miniaturization of QRNGs is crucial for a wide range of communication and cryptography applications. Here, we...
Steady-state entanglement of spin qubits mediated by non-reciprocal and chiral magnons
Martijn Dols, Mikhail Cherkasskii, Victor A. S. V. Bittencourt +3 more·Sep 16, 2025
We propose a hybrid quantum system in which a magnet supporting non-reciprocal magnons, chiral magnons, or both mediates the dissipative and unidirectional coupling of spin qubits. By driving the qubits, the steady state of this qubit-qubit coupling ...
The Quantum Control Hierarchy: When Physics-Informed Design Meets Machine Learning
Atta ur Rahman, M. Y. Abd-Rabbou, Cong-feng Qiao·Sep 16, 2025
We address a wide spectrum of quantum control strategies, including various open-loop protocols and advanced adaptive methods. These methodologies apply to few-qubit scenarios and naturally scale to larger N-qubit systems. We benchmark them across fu...
Efficient lattice field theory simulation using adaptive normalizing flow on a resistive memory-based neural differential equation solver
Meng Xu, Jichang Yang, Ning Lin +6 more·Sep 16, 2025
Lattice field theory (LFT) simulations underpin advances in classical statistical mechanics and quantum field theory, providing a unified computational framework across particle, nuclear, and condensed matter physics. However, the application of thes...
HQCNN: A Hybrid Quantum-Classical Neural Network for Medical Image Classification
Shahjalal, Jahid Karim Fahim, Pintu Chandra Paul +3 more·Sep 16, 2025
Classification of medical images plays a vital role in medical image analysis; however, it remains challenging due to the limited availability of labeled data, class imbalances, and the complexity of medical patterns. To overcome these challenges, we...
EmuPlat: A Framework-Agnostic Platform for Quantum Hardware Emulation with Validated Transpiler-to-Pulse Pipeline
Jun Ye, Jun Yong Khoo·Sep 16, 2025
We present EmuPlat, a framework-agnostic quantum hardware emulation platform that addresses the interoperability gap between high-level quantum programming frameworks and hardware-specific pulse control systems. Unlike existing solutions that operate...
Integrated Software/Hardware Execution Models for High-Accuracy Methods in Chemistry
Nicholas Bauman, Ajay Panyala, Libor Veis +7 more·Sep 15, 2025
The effective deployment and application of advanced methodologies for quantum chemistry is inherently linked to the optimal usage of emerging and highly diversified computational resources. This paper examines the synergistic utilization of Micron m...
QKD Oracles for Authenticated Key Exchange
Kathrin Hövelmanns, Daan Planken, Christian Schaffner +1 more·Sep 15, 2025
Authenticated Key Exchange (AKE) establishes shared ('symmetric') cryptographic keys which are essential for secure online communication. AKE protocols can be constructed from public-key cryptography like Key Encapsulation Mechanisms (KEMs). Another ...
Numerical Optimization Methods in the environment with Quantum Noise
Tomáš Bezděk·Sep 15, 2025
The accurate calculation of electronic potential energy surfaces for ground and excited states is crucial for understanding photochemical processes, particularly near conical intersections. While classical methods are limited by scaling and quantum a...
Driven-Dissipative Landau Polaritons: Two Highly Nonlinearly-Coupled Quantum Harmonic Oscillators
Farokh Mivehvar·Sep 15, 2025
Landau levels (LLs) are the massively-degenerate discrete energy spectrum of a charged particle in a transverse magnetic field and lie at the heart of many intriguing phenomena such as the integer and fractional quantum Hall effects as well as quanti...
Combinatorial optimization enhanced by shallow quantum circuits with 104 superconducting qubits
Xuhao Zhu, Zuoheng Zou, Feitong Jin +31 more·Sep 15, 2025
A pivotal task for quantum computing is to speed up solving problems that are both classically intractable and practically valuable. Among these, combinatorial optimization problems have attracted tremendous attention due to their broad applicability...
Observation of quantum-field-theory dynamics on a spin-phonon quantum computer
Anton T. Than, Saurabh V. Kadam, Vinay Vikramaditya +5 more·Sep 14, 2025
Simulating out-of-equilibrium dynamics of quantum field theories in nature is challenging with classical methods, but is a promising application for quantum computers. Unfortunately, simulating interacting bosonic fields involves a high boson-to-qubi...