Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Efficient Gaussian State Preparation in Quantum Circuits
Yichen Xie, Nadav Ben-Ami·Jul 27, 2025
Gaussian states hold a fundamental place in quantum mechanics, quantum information, and quantum computing. Many subfields, including quantum simulation of continuousvariable systems, quantum chemistry, and quantum machine learning, rely on the abilit...
Circuit simulation of readout process toward large-scale superconducting quantum circuits
T. Tanamoto, Hiroshi Fuketa, T. Ishikawa +1 more·Jul 27, 2025
The rapid scaling of superconducting quantum computers has highlighted the impact of device-level variability on overall circuit fidelity. In particular, fabrication-induced fluctuations in device parameters such as capacitance and Josephson critical...
Finite-Size Effects in Quantum Metrology at Strong Coupling: Microscopic vs Phenomenological Approaches
Ali Pedram, Özgür E. Müstecaplıoğlu·Jul 26, 2025
We study the ultimate precision limits of a spin chain, strongly coupled to a heat bath, for measuring a general parameter and report the results for specific cases of magnetometry and thermometry. Employing a full polaron transform, we derive the ef...
Robust Variational Ground-State Solvers via Dissipative Quantum Feedback Models
Yunyan Lee, Ian R. Petersen, Daoyi Dong·Jul 26, 2025
We propose a variational framework for solving ground-state problems of open quantum systems governed by quantum stochastic differential equations (QSDEs). This formulation naturally accommodates bosonic operators, as commonly encountered in quantum ...
Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage
Maida Wang, Xiao Xue, Mingyang Gao +1 more·Jul 26, 2025
We introduce a quantum-informed machine learning (QIML) framework for modelling the long-term behaviour of high-dimensional chaotic systems. QIML combines a one-time, offline-trained quantum generative model with a classical autoregressive predictor ...
An Efficient Alternating Minimization Algorithm for Computing Quantum Rate-Distortion Function
Lingyi Chen, Deheng Yuan, Wen-Ying Zhang +2 more·Jul 26, 2025
We consider the computation of the entanglement-assisted quantum rate-distortion function, which plays a central role in quantum information theory. We propose an efficient alternating minimization algorithm based on the Lagrangian analysis. Instead ...
Quantum Internet Architecture: unlocking Quantum-Native Routing via Quantum Addressing
Marcello Caleffi, Angela Sara Cacciapuoti·Jul 25, 2025
The key objective of the Quantum Internet is the distribution and manipulation of entanglement to enable unprecedented applications. This requires a radical departure from classical Internet design principles, such as the end-to-end argument, due to ...
Photon catalysis for general multimode multi-photon quantum state preparation
Andrei Aralov, Émilie Gillet, Viet Nguyen +3 more·Jul 25, 2025
Multimode multiphoton states are at the center of many photonic quantum technologies, from photonic quantum computing to quantum sensing. In this work, we derive a procedure to generate exactly, and with a predictable number of steps, any such state ...
Probing Quantum States Over Spacetime Through Interferometry
Seok Hyung Lie, Hyukjoon Kwon·Jul 25, 2025
Establishing a notion of the quantum state that applies consistently across space and time could be a crucial step toward formulating a relativistic quantum theory. We give an operational meaning to multipartite quantum states over arbitrary regions ...
Resource-Efficient Hadamard Test Tailored Variational Framework for Nonlinear Dynamics on Quantum Computers
Eleftherios Mastorakis, Muhammad Umer, Milena Guevara-Bertsch +3 more·Jul 25, 2025
Resource-efficient, low-depth implementations of quantum circuits remain a promising strategy for achieving reliable and scalable computation on quantum hardware, as they reduce gate resources and limit the accumulation of noisy operations. Here, we ...
Scalable native multiqubit gates via engineered noncomputational-state interactions in superconducting fluxonium qubits
Peng Zhao, Peng Xu, Zheng-Yuan Xue·Jul 25, 2025
Native multiqubit gates could be essential for bridging the gap from current noisy devices to future utility-scale quantum computers, as they can substantially reduce circuit depth for near-term applications on noisy devices and may also lower the ph...
Quantum Reinforcement Learning by Adaptive Non-Local Observables
Hsin-Yi Lin, Samuel Yen-Chi Chen, H. Tseng +1 more·Jul 25, 2025
Hybrid quantum-classical frameworks leverage quantum computing for machine learning; however, variational quantum circuits (VQCs) are limited by local measurements. We introduce an adaptive non-local observable (ANO) paradigm within VQCs for quantum ...
Directional Codes: a new family of quantum LDPC codes on hexagonal- and square-grid connectivity hardware
G. Geh'er, David Byfield, Archibald Ruban·Jul 25, 2025
Utility-scale quantum computing requires quantum error correction (QEC) to protect quantum information against noise. Currently, superconducting hardware is a promising candidate for achieving fault tolerance due to its fast gate times and feasible s...
Towards System-Level Quantum-Accelerator Integration
Ralf Ramsauer, Wolfgang Mauerer·Jul 25, 2025
Quantum computers are often treated as experimental add-ons that are loosely coupled to classical infrastructure through high-level interpreted languages and cloud-like orchestration. However, future deployments in both, high-performance computing (H...
Autocallable Options Pricing with Integration-Based Exponential Amplitude Loading
Francesca Cibrario, Ron Cohen, Emanuele Dri +8 more·Jul 25, 2025
We present a comprehensive quantum algorithm tailored for pricing autocallable options, offering a full implementation and experimental validation. Our experiments include simulations conducted on high performance computing (HPC) hardware, along with...
Pulse-based optimization of quantum many-body states with Rydberg atoms in optical tweezer arrays
Kazuma Nagao, S. Julia-Farr'e, J. Vovrosh +2 more·Jul 25, 2025
We explore a pulse-based variational quantum eigensolver (VQE) algorithm for Rydberg atoms in optical tweezer arrays and evaluate its performance on prototypical quantum spin models. We numerically demonstrate that the ground states of the one-dimens...
FD4QC: Application of Classical and Quantum-Hybrid Machine Learning for Financial Fraud Detection A Technical Report
Matteo Cardaioli, Luca Marangoni, Giada Martini +5 more·Jul 25, 2025
The increasing complexity and volume of financial transactions pose significant challenges to traditional fraud detection systems. This technical report investigates and compares the efficacy of classical, quantum, and quantum-hybrid machine learning...
Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection
A. Tudisco, Deborah Volpe, Giacomo Orlandi +1 more·Jul 25, 2025
The growing variety of quantum hardware technologies, each with unique peculiarities such as connectivity and native gate sets, creates challenges when selecting the best platform for executing a specific quantum circuit. This selection process usual...
Shallow-depth GHZ state generation on NISQ devices
S. S. Chelluri, S. Schuster, Sumeet +1 more·Jul 25, 2025
In this work, we focus on GHZ state generation under the practical constraint of limited qubit connectivity, a hallmark of current NISQ hardware. We study the GHZ state preparation across different connectivity graphs inspired by IBM and Google chip ...
Random approximate quantum information masking
Xiaodi Li, Xinyang Shu, Huangjun Zhu·Jul 25, 2025
Masking information into quantum correlations is a cornerstone of many quantum information applications. While there exist the no-hiding and no-masking theorems, approximate quantum information masking (AQIM) offers a promising means of circumventing...