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 Feature Optimization for Enhanced Clustering of Blockchain Transaction Data
Yun-Cheng Tsai, Samuel Yen-Chi Chen·May 22, 2025
Blockchain transaction data exhibits high dimensionality, noise, and intricate feature entanglement, presenting significant challenges for traditional clustering algorithms. In this study, we conduct a comparative analysis of three clustering approac...
Tailoring the electronic configurations of YPc2 on Cu(111): decoupling strategies for molecular spin qubit platforms.
Soyoung Oh, Franklin H Cho, W. Soe +9 more·May 21, 2025
Molecule-based spin architectures have been proposed as promising platforms for quantum computing. Among the potential spin qubit candidates, yttrium phthalocyanine double-decker (YPc2) features a diamagnetic metal ion core that stabilizes the molecu...
Quantum Opacity, Classical Clarity: A Hybrid Approach to Quantum Circuit Obfuscation
A. Raj, Vivek Balachandran·May 20, 2025
Quantum computing leverages quantum mechanics to achieve computational advantages over classical hardware, but the use of third-party quantum compilers in the Noisy Intermediate-Scale Quantum (NISQ) era introduces risks of intellectual property (IP) ...
Symmetry-guided quantum state preparation: Branched-Subspaces Adiabatic Preparation (B-SAP)
Davide Cugini, Giacomo Guarnieri, Mario Motta +1 more·May 19, 2025
Quantum state preparation lies at the heart of quantum computation and quantum simulations, enabling the investigation of complex manybody systems across physics, chemistry, and data science. While existing methods such as Variational Quantum Algorit...
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...
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...
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...
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...
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...
Q-Policy: Quantum-Enhanced Policy Evaluation for Scalable Reinforcement Learning
Kalyan Cherukuri, Aarav Lala, Yash Yardi·May 17, 2025
We propose Q-Policy, a hybrid quantum-classical reinforcement learning (RL) framework that mathematically accelerates policy evaluation and optimization by exploiting quantum computing primitives. Q-Policy encodes value functions in quantum superposi...
Walsh-Floquet Theory of Periodic Kick Drives
James Walkling, Marin Bukov·May 16, 2025
Periodic kick drives are ubiquitous in digital quantum control, computation, and simulation, and are instrumental in studies of chaos and thermalization for their efficient representation through discrete gates. However, in the commonly used Fourier ...
Quantum compressed sensing tomographic reconstruction algorithm
Arim Ryou, Kiwoong Kim, Kyungtaek Jun·May 16, 2025
Computed tomography (CT) is a non-destructive technique for observing internal images and has proven highly valuable in medical diagnostics. Recent advances in quantum computing have begun to influence tomographic reconstruction techniques. The quant...
Flowing Through Hilbert Space: Quantum-Enhanced Generative Models for Lattice Field Theory
Jehu Martinez, Andrea Delgado·May 15, 2025
Sampling from high-dimensional and structured probability distributions is a fundamental challenge in computational physics, particularly in the context of lattice field theory (LFT), where generating field configurations efficiently is critical, yet...
From noisy observables to accurate ground state energies: a quantum classical signal subspace approach with denoising
Hardeep Bassi, Yizhi Shen, H. Bhat +1 more·May 15, 2025
We propose a hybrid quantum–classical algorithm for ground state energy estimation that remains robust to highly noisy data and exhibits low sensitivity to hyperparameter tuning. Our approach—Fourier Denoising Observable Dynamic Mode Decomposition (F...
Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing
Kuan-Cheng Chen, Chen-Yu Liu, Y. Shang +2 more·May 13, 2025
We introduce a distributed quantum-classical framework that synergizes photonic quantum neural networks (QNNs) with matrix product state (MPS) mapping to achieve parameter-efficient training of classical neural networks. By leveraging universal linea...
The Quantum Approximate Optimization Algorithm Can Require Exponential Time to Optimize Linear Functions
Francisco Chicano, Z. Dahi, Gabriel Luque·May 9, 2025
QAOA is a hybrid quantum-classical algorithm to solve optimization problems in gate-based quantum computers. It is based on a variational quantum circuit that can be interpreted as a discretization of the annealing process that quantum annealers foll...
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints
Peter Röseler, Oliver Schaudt, Helmut Berg +2 more·May 9, 2025
While classical convolutional neural networks (CNNs) have revolutionized image classification, the emergence of quantum computing presents new opportunities for enhancing neural network architectures. Quantum CNNs (QCNNs) leverage quantum mechanical ...
2D Quon Language: Unifying Framework for Cliffords, Matchgates, and Beyond
Byungmin Kang, Chen Zhao, Zhengwei Liu +2 more·May 9, 2025
Simulating generic quantum states and dynamics is practically intractable using classical computers. However, certain special classes -- namely Clifford and matchgate circuits -- permit efficient computation. They provide invaluable tools for studyin...
Towards Secondary Structure Prediction of Longer Mrna Sequences Using a Quantum-Centric Optimization Scheme
Vaibhaw Kumar, Dimitris Alevras, Mihir Metkar +9 more·May 9, 2025
Accurate prediction of mRNA secondary structure is critical for understanding gene expression, translation efficiency, and advancing mRNA-based therapeutics. However, the combinatorial complexity of possible foldings, especially in long sequences, po...
Applied Post Quantum Cryptography: A Practical Approach for Generating Certificates in Industrial Environments
Nino Ricchizzi, Christian Schwinne, Jan Pelzl·May 7, 2025
The transition to post-quantum cryptography (PQC) presents significant challenges for certificate-based identity management in industrial environments, where secure onboarding of devices relies on long-lived and interoperable credentials. This work a...