Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,386 papers in 12 months (-22% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Scaling Laws of Quantum Information Lifetime in Monitored Quantum Dynamics
Bingzhi Zhang, Fangjun Hu, Runzhe Mo +3 more·Jun 28, 2025
Quantum information is typically fragile under measurements and environmental coupling. Remarkably, we find that its lifetime can scale exponentially with system size when the environment is continuously monitored via mid-circuit measurements -- rega...
QTurbo: A Robust and Efficient Compiler for Analog Quantum Simulation
Junyu Zhou, Yuhao Liu, Shize Che +5 more·Jun 28, 2025
Analog quantum simulation leverages native hardware dynamics to emulate complex quantum systems with great efficiency by bypassing the quantum circuit abstraction. However, conventional compilation methods for analog simulators are typically labor-in...
A Quantum Framework for Protein Binding-Site Structure Prediction on Utility-Level Quantum Processors
Yuqi Zhang, Yuxin Yang, William Martin +8 more·Jun 27, 2025
Accurate prediction of protein active-site structures remains a central challenge in structural biology, particularly for short and flexible peptide fragments where conventional and simulation-based methods often fail. Here, we present a quantum comp...
Spectral Bias in Variational Quantum Machine Learning
Callum Duffy, Marcin Jastrzebski·Jun 27, 2025
In this work, we investigate the phenomenon of spectral bias in quantum machine learning, where, in classical settings, models tend to fit low-frequency components of a target function earlier during training than high-frequency ones, demonstrating a...
Is Lindblad for me?
Martino Stefanini, Aleksandra A. Ziolkowska, Dmitry Budker +6 more·Jun 27, 2025
The Lindblad master equation is a foundational tool for modeling the dynamics of open quantum systems. As its use has extended far beyond its original domain, the boundaries of its validity have grown opaque. In particular, the rise of new research a...
General many-body entanglement swapping protocol: opportunities for distributed quantum computing
Santeri Huhtanen, Yousef Mafi, Ali G. Moghaddam +1 more·Jun 27, 2025
Sharing entangled pairs between non-signaling parties via entanglement swapping constitutes a striking demonstration of the nonlocality of quantum mechanics and a crucial building block for future quantum technologies. In this work, we generalize pai...
Decoherence of Majorana qubits by 1/f noise
Abhijeet Alase, Marcus C. Goffage, Maja C. Cassidy +1 more·Jun 27, 2025
Qubits based on Majorana zero modes (MZMs) in superconductor-semiconductor nanowires have attracted intense interest due to claims that their error rates are suppressed exponentially with increasing nanowire length or decreasing temperature. However,...
Higher-Order Adiabatic Elimination in Atom-Cavity Systems and Its Impact on Spin-Squeezing Generation
Stefano Giaccari, Giulia Dellea, Marco G. Genoni +1 more·Jun 27, 2025
Spin-squeezed states are metrologically useful quantum states where entanglement allows for enhanced sensing with respect to the standard quantum limit. Key challenges include the efficient preparation of spin-squeezed states and the scalability of e...
Signatures of rigidity and second sound in dipolar supersolids
G. A. Bougas, T. Bland, H. R. Sadeghpour +1 more·Jun 27, 2025
We propose a dynamical protocol to probe the rigidity and phase coherence of dipolar supersolids by merging initially separated fragments in quasi-one-dimensional (1D) double-well potentials. Simulations based on the extended Gross-Pitaevskii equatio...
Observation of entanglement in a cold atom analog of cosmological preheating
Victor Gondret, Clothilde Lamirault, Rui Dias +8 more·Jun 27, 2025
We observe entanglement between collective excitations of a Bose-Einstein condensate in a configuration analogous to particle production during the preheating phase of the early universe. In our setup, the oscillation of the inflaton field is mimicke...
Experimental quantum reservoir computing with a circuit quantum electrodynamics system
Baptiste Carles, Julien Dudas, Léo Balembois +2 more·Jun 27, 2025
Quantum reservoir computing is a machine learning framework that offers ease of training compared to other quantum neural networks, as it does not rely on gradient-based optimization. Learning is performed in a single step on the output features meas...
Unifying communication paradigms in measurement-based delegated quantum computing
Fabian Wiesner, Jens Eisert, Anna Pappa·Jun 27, 2025
Delegated quantum computing (DQC) allows clients with low quantum capabilities to outsource computations to a server hosting a quantum computer. This process is often envisioned within the measurement-based quantum computing framework, as it naturall...
Quantum Workshop for IT-Professionals
Bettina Just, Jörg Hettel, Gerhard Hellstern·Jun 27, 2025
Quantum computing is gaining strategic relevance beyond research-driven industries. However, many companies lack the expertise to evaluate its potential for real-world applications. Traditional training formats often focus on physical principles with...
Ground-state reachability for variational quantum eigensolvers: a Rydberg-atom case study
Juhi Singh, Andreas Kruckenhauser, R. V. Bijnen +1 more·Jun 27, 2025
As quantum computing progresses, variational quantum eigensolvers (VQE) for ground-state preparation have become an attractive option in leveraging current quantum hardware. However, a major challenge in implementing VQE is understanding whether a gi...
Maximal intrinsic randomness of noisy quantum measurements
Fionnuala Curran, Morteza Moradi, Gabriel Senno +2 more·Jun 27, 2025
Quantum physics exhibits an intrinsic and private form of randomness with no classical counterpart. Any setup for quantum randomness generation involves measurements acting on quantum states. In this work, we consider the following question: Given a ...
Characteristic solutions of the chain of Vlasov equations
E. Perepelkin, B. Sadovnikov, N. Inozemtseva +1 more·Jun 27, 2025
A new method has been presented of constructing a class of exact solutions of an infinite self-linking chain of the Vlasov equations for distribution functions of kinematic quantities of all orders. Using the characteristic transformation of variable...
Excited states from ADAPT-VQE convergence path in many-body Problems: application to nuclear pairing problem and H4 molecule dissociation
Jing Zhang, Denis Lacroix·Jun 27, 2025
A quantum computing algorithm is proposed to obtain low-lying excited states in many-body interacting systems. The approximate eigenstates are obtained by using a quantum space diagonalization method in a subspace of states selected from the converge...
Towards a Comparative Framework for Compositional AI Models
Tiffany Duneau·Jun 27, 2025
The DisCoCirc framework for natural language processing allows the construction of compositional models of text, by combining units for individual words together according to the grammatical structure of the text. The compositional nature of a model ...
Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers
Luning Zhao, Joshua J. Goings, Willie Aboumrad +38 more·Jun 27, 2025
We demonstrate an end-to-end workflow to model chemical reaction barriers with the quantum-classical auxiliary field quantum Monte Carlo (QC-AFQMC) algorithm with quantum tomography using matchgate shadows. The workflow operates within an accelerated...
Quanvolutional Neural Networks for Pneumonia Detection: An Efficient Quantum-Assisted Feature Extraction Paradigm
Gazi Tanbhir, Md. Farhan Shahriyar, Abdullah Md Raihan Chy·Jun 27, 2025
Pneumonia poses a significant global health challenge, demanding accurate and timely diagnosis. While deep learning, particularly Convolutional Neural Networks (CNNs), has shown promise in medical image analysis for pneumonia detection, CNNs often su...