Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Deterministic generation of multiqubit entangled states among distant parties using indefinite causal order
Wen‐Qiang Liu, Hai‐Rui Wei·Mar 5, 2025
Quantum entanglement plays an irreplaceable role in various remote quantum information processing tasks. Here we present protocols for generating deterministic and heralded $N$-qubit entangled states across multiple network nodes. By utilizing a pre-...
Generation of polarization-entangled photon pairs from two interacting quantum emitters
Adrián Juan-Delgado, Geza Giedke, Javier Aizpurua +1 more·Mar 4, 2025
Entangled photon pairs are key elements in quantum communication and quantum cryptography. State-of-the-art sources of entangled photons are mainly based on parametric down-conversion from nonlinear crystals, which is probabilistic in nature, and on ...
A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG
Abdul Basit, Nouhaila Innan, Muhammad Haider Asif +4 more·Mar 4, 2025
Large Language Models (LLMs) offer powerful capabilities in code generation, natural language understanding, and domain-specific reasoning. Their application to quantum software development remains limited, in part because of the lack of high-quality...
Qubit Movement-Optimized Program Generation on Zoned Neutral Atom Processors
Enhyeok Jang, Youngmin Kim, Hyungseok Kim +3 more·Mar 1, 2025
A zoned neutral atom architecture achieves exceptional fidelity by segregating the execution spaces of 1- and 2-qubit gates, being a promising candidate for high-accuracy quantum systems. Unfortunately, na'ively applying programs designed for static ...
Comparative Study of the Ansätze in Quantum Language Models
Jordi Del Castillo, Dan Zhao, Zongrui Pei·Feb 28, 2025
Quantum language models are the alternative to classical language models, which borrow concepts and methods from quantum machine learning and computational linguistics. While several quantum natural language processing (QNLP) methods and frameworks e...
Linear optical quantum computing with a hybrid squeezed cat code
Shohei Kiryu, Kosuke Fukui, A. Okamoto +1 more·Feb 27, 2025
In recent years, squeezed cat codes with resilience to specific types of loss have been proposed as a step toward realizing fault-tolerant optical quantum computers. However, error correction for squeezed cat codes requires a strong nonlinearity, whi...
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...
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...
Non-paraxial effects on laser-qubit operations
L. Gallagher, M. Mazzanti, Z. Ackerman +3 more·Feb 26, 2025
Tightly-focused laser beams, or optical tweezers, are essential for analogue and digital quantum simulation with neutral atoms and trapped ions. Despite this, most of the current intuition and theoretical treatment utilizes the paraxial approximation...
Quantum Machine Learning in Precision Medicine and Drug Discovery - A Game Changer for Tailored Treatments?
Markus Bertl, Alan Mott, Salvatore Sinno +1 more·Feb 25, 2025
The digitization of healthcare presents numerous challenges, including the complexity of biological systems, vast data generation, and the need for personalized treatment plans. Traditional computational methods often fall short, leading to delayed a...
Transformation-Free Generation of a Quasi-Diabatic Representation from the State-Average Orbital-Optimized Variational Quantum Eigensolver.
Silvie Illésová, Martin Beseda, Saad Yalouz +2 more·Feb 25, 2025
In the present work, we examine how the recent quantum-computing algorithm known as the state-average orbital-optimized variational quantum eigensolver (SA-OO-VQE), viewed within the context of quantum chemistry as a type of multiconfiguration self-c...
Adaptive Non-Gaussian Quantum State Engineering
Valerio Crescimanna, Shang Yu, Khabat Heshami +1 more·Feb 20, 2025
Non-Gaussian quantum states of bosons are a key resource in quantum information science with applications ranging from quantum metrology to fault-tolerant quantum computation. Generation of photonic non-Gaussian resource states, such as Schrödinger's...
Towards efficient quantum algorithms for diffusion probability models
Yunfei Wang, Ruoxi Jiang, Yingda Fan +4 more·Feb 20, 2025
A diffusion probabilistic model (DPM) is a generative model renowned for its ability to produce high-quality outputs in tasks such as image and audio generation. However, training DPMs on large, high-dimensional datasets such as high-resolution image...
Benchmarking MedMNIST dataset on real quantum hardware
Gurinder Singh, Hongni Jin, Kenneth M. Merz·Feb 18, 2025
Quantum machine learning (QML) has emerged as a promising domain to leverage the computational capabilities of quantum systems to solve complex classification tasks. In this work, we present the first comprehensive QML study by benchmarking the MedMN...
Roadmap to fault tolerant quantum computation using topological qubit arrays
D. Aasen, M. Aghaee, Zulfi Alam +179 more·Feb 17, 2025
We describe a concrete device roadmap towards a fault-tolerant quantum computing architecture based on noise-resilient, topologically protected Majorana-based qubits. Our roadmap encompasses four generations of devices: a single-qubit device that ena...
Matrix Low-dimensional Qubit Casting Based Quantum Electromagnetic Transient Network Simulation Program
Qi Lou, Yijun Xu, W. Gu·Feb 17, 2025
In modern power systems, the integration of converter-interfaced generations requires the development of electromagnetic transient network simulation programs (EMTP) that can capture rapid fluctuations. However, as the power system scales, the EMTP's...
Programmable photonic waveguide arrays: opportunities and challenges
Yang Yang, Akram Youssry, A. Peruzzo·Feb 17, 2025
The rising complexity of photonic applications, ranging from quantum computing to neuromorphic processing, has driven the demand for highly programmable and scalable photonic integrated circuits. While mesh-based architectures built from Mach-Zehnder...
High-Rate Four Photon Subtraction from Squeezed Vacuum: Preparing Cat State for Optical Quantum Computation
M. Endo, Takefumi Nomura, T. Sonoyama +12 more·Feb 13, 2025
Generating logical qubits, essential for error detection and correction in quantum computation, remains a critical challenge in continuous-variable (CV) optical quantum information processing. The Gottesman-Kitaev-Preskill (GKP) code is a leading can...
Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Involving the Schrödinger Equation
Kaichen Ouyang, Mingyang Yu, Zong Ke +3 more·Feb 6, 2025
Physics-informed Neural Networks (PINNs) show that embedding physical laws directly into the learning objective can significantly enhance the efficiency and physical consistency of neural network solutions. Similar to optimizing loss functions in mac...
Efficient Magic State Cultivation on the Surface Code
Yotam Vaknin, Shoham Jacoby, Arne Grimsmo +1 more·Feb 3, 2025
Magic state cultivation is a leading approach for generating the resource states required for fault-tolerant quantum computation. Here we present a new cultivation protocol that increases the success probability of magic-state generation in platforms...