Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Scalable Hardware Maturity Probe for Quantum Accelerators via Harmonic Analysis of QAOA
Chinonso Onah, Kristel Michielsen·Sep 14, 2025
As quantum processors begin operating as tightly coupled accelerators inside high-performance computing (HPC) facilities, dependable and reproducible behavior becomes a gating requirement for scientific and industrial workloads. We present a hardware...
Multi-Partitioned Meshfree Quantum Finite Particle Method: A Hybrid Quantum Framework for Fluid Flow
Yudong Li, Wenkui Shi, Yan Li +5 more·Sep 14, 2025
This study established a quantum-classical hybrid framework that integrates quantum computing paradigm with meshfree finite particle method. By harnessing quantum superposition and entanglement, it hybridized the critical computational kernels (terme...
Hybrid Quantum Branch-and-Bound Method for Quadratic Unconstrained Binary Optimization
Zedong Peng, Daniel de Roux, David E. Bernal Neira·Sep 14, 2025
Quantum algorithms have shown promise in solving Quadratic Unconstrained Binary Optimization (QUBO) problems, benefiting from their connection to the transverse field Ising model. Various Ising solvers, both classical and quantum, have emerged to tac...
Boosting Sparsity in Graph Decompositions with QAOA Sampling
George Pennington, Naeimeh Mohseni, Oscar Wallis +5 more·Sep 12, 2025
We study the problem of decomposing a graph into a weighted sum of a small number of matchings, a task that arises in network resource allocation problems such as peer-to-peer energy exchange. Computing such decompositions is challenging for classica...
Fluctuation-guided adaptive random compiler for Hamiltonian simulation
Yu-Xia Wu, Yun-Zhuo Fan, Dan-Bo Zhang·Sep 12, 2025
Stochastic methods offer an effective way to suppress coherent errors in quantum simulation. In particular, the randomized compilation protocol may reduce circuit depth by randomly sampling Hamiltonian terms rather than following the deterministic Tr...
A hybrid quantum walk model unifying discrete and continuous quantum walks
Tianen Chen, Y. Shang·Sep 11, 2025
Quantum walks, both discrete and continuous, serve as fundamental tools in quantum information processing with diverse applications. This work introduces a hybrid quantum walk model that integrates the coin mechanism of discrete walks with the Hamilt...
NISQ Security and Complexity via Simple Classical Reasoning
Alexandru Cojocaru, Juan A. Garay, Qipeng Liu +1 more·Sep 11, 2025
We give novel lifting theorems for security games in the quantum random oracle model (QROM) in Noisy Intermediate-Scale Quantum (NISQ) settings such as the hybrid query model, the noisy oracle and the bounded-depth models. We provide, for the first t...
Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading
Jun-Hao Chen, Yu-Chien Huang, Yun-Cheng Tsai +1 more·Sep 11, 2025
The convergence of quantum-inspired neural networks and deep reinforcement learning offers a promising avenue for financial trading. We implemented a trading agent for USD/TWD by integrating Quantum Long Short-Term Memory (QLSTM) for short-term trend...
Evaluating Quantum Amplitude Estimation for Pricing Multi-Asset Basket Options
Muhammad Kashif, Shaf Khalid, Nouhaila Innan +2 more·Sep 11, 2025
Accurate and efficient pricing of multi-asset basket options poses a significant challenge, especially when dealing with complex realworld data. In this work, we investigate the role of quantum-enhanced uncertainty modeling in financial pricing optio...
Loss-tolerant parallelized Bell-state generation with a hybrid cat qudit
Z. M. McIntyre, W. A. Coish·Sep 10, 2025
Having multiple Bell pairs shared by distant quantum registers provides a key resource for both quantum networks and distributed quantum computing. In this paper, we present a protocol for parallelized Bell-pair generation that uses the phase of a co...
QCardEst/QCardCorr: Quantum Cardinality Estimation and Correction
Tobias Winker, Jinghua Groppe, S. Groppe·Sep 10, 2025
Cardinality estimation is an important part of query optimization in DBMS. We develop a Quantum Cardinality Estimation (QCardEst) approach using Quantum Machine Learning with a Hybrid Quantum-Classical Network. We define a compact encoding for turnin...
Large-Scale Efficient Molecule Geometry Optimization with Hybrid Quantum-Classical Computing.
Yajie Hao, Qiming Ding, Xiaoting Wang +1 more·Sep 9, 2025
Accurately and efficiently predicting the equilibrium geometries of large molecules remains a central challenge in quantum computational chemistry, even with hybrid quantum-classical algorithms. Two major obstacles hinder progress: the large number o...
Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification
Borja Aizpurua, Sukhbinder Singh, Román Orús·Sep 8, 2025
We address the problem of implementing bottleneck layers from classical pre-trained neural networks on a quantum computer, with the goal of exploring intrinsically quantum ansatz for representing large linear layers within hybrid classical-quantum mo...
A brain-inspired paradigm for scalable quantum vision
Chenghua Duan, Xiuxing Li, Wending Zhao +6 more·Sep 7, 2025
One of the fundamental tasks in machine learning is image classification, which serves as a key benchmark for validating algorithm performance and practical potential. However, effectively processing high-dimensional, detail-rich images, a capability...
From Membership-Privacy Leakage to Quantum Machine Unlearning
Jun-Jian Su, Runze He, Guanghui Li +4 more·Sep 7, 2025
Quantum Machine Learning (QML) has the potential to achieve quantum advantage for specific tasks by combining quantum computation with classical Machine Learning (ML). In classical ML, a significant challenge is membership privacy leakage, whereby an...
Hybrid-Integrated InGaAs/InP SPAD Arrays for Quantum Communications
Joseph A. Dolphin, Rosemary O. E. Scowen, Louise M. Wells +7 more·Sep 5, 2025
Photonic integration is a promising route to miniaturise the hardware of quantum key distribution (QKD), yet the monolithic integration of single photon detectors remains a significant challenge. QKD receiver chips integrating superconducting detecto...
Exploring an implementation of quantum learning pipeline for support vector machines
Mario Bifulco, Luca Roversi·Sep 5, 2025
This work presents a fully quantum approach to support vector machine (SVM) learning by integrating gate-based quantum kernel methods with quantum annealing-based optimization. We explore the construction of quantum kernels using various feature maps...
Qumode-Based Variational Quantum Eigensolver for Molecular Excited States.
Rishab Dutta, Cameron Cianci, A. Soudackov +5 more·Sep 5, 2025
We introduce the qumode subspace variational quantum eigensolver (QSS-VQE), a hybrid quantum-classical algorithm for computing molecular excited states using the Fock basis of bosonic qumodes in circuit quantum electrodynamics (cQED) devices. This ap...
Scalable parallel simulation of quantum circuits on CPU and GPU systems
Guolong Zhong, Yi Fan, Zhenyu Li·Sep 5, 2025
Quantum computing enables parallelism through superposition and entanglement and offers advantages over classical computing architectures. However, due to the limitations of current quantum hardware in the noisy intermediate-scale quantum (NISQ) era,...
Transmon-assisted high-fidelity controlled- Z gates for integer fluxonium qubits
J.-H. Wang, H. Xiong, J.-Z. Yang +3 more·Sep 5, 2025
Fluxoniums, as partially-protected superconducting qubits are promising to be employed to build high-performance large-scale quantum processor. The recently proposed ``integer fluxonium"operates at zero external flux bias, with a frequency of approxi...