Papers
Live trends in quantum computing research, updated daily from arXiv.
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27,548
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Research Volume
12,892 papers in 12 months (-5% vs prior quarter)
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Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Constrained Quantum Optimization at Utility Scale: Application to the Knapsack Problem
Naeimeh Mohseni, Julien-Pierre Houle, Ibrahim Shehzad +3 more·Feb 27, 2026
Constrained combinatorial optimization problems are challenging for quantum computing, particularly at utility-relevant scales and on near-term hardware. At the same time, these problems are of practical significance in industry; for example, the Uni...
Lévy-index control of spectral singularities and coherent perfect absorption in non-Hermitian space-fractional quantum mechanics
Vibhav Narayan Singh, Mohammad Umar, Mohammad Hasan +1 more·Feb 27, 2026
We investigate the scattering features of a non-Hermitian rectangular potential within the framework of space-fractional quantum mechanics. Using the Riesz fractional derivative, we analytically derive locus equations for spectral singularities (SSs)...
Universal Nested Quantum Switch
Jorge Miguel-Ramiro, Maria Flors Mor-Ruiz, Wolfgang Dür·Feb 27, 2026
The quantum switch is a basic network primitive that allows one to connect multiple nodes in a quantum network via a central node. We show that the same functionality can be achieved with a different geometry that does not rely on a powerful and larg...
Theory of Magic Phase Transitions in Encoding-Decoding Circuits
Piotr Sierant, Xhek Turkeshi·Feb 27, 2026
Quantum magic resources, or nonstabilizerness, are a central ingredient for universal quantum computation. In noisy many-body systems, the interplay between these resources and errors leads to sharp magic phase transitions. However, the microscopic m...
Scaling Quantum Machine Learning without Tricks: High-Resolution and Diverse Image Generation
Jonas Jäger, Florian J. Kiwit, Carlos A. Riofrío·Feb 27, 2026
Quantum generative modeling is a rapidly evolving discipline at the intersection of quantum computing and machine learning. Contemporary quantum machine learning is generally limited to toy examples or heavily restricted datasets with few elements. T...
Tailored dissipation for directional transport in plasmonic ratchets
Anna Sidorenko, Jan Mathis Giesen, Sebastian Eggert +1 more·Feb 27, 2026
We present a joint experimental and theoretical study of a ratchet implemented in arra ys of evanescently coupled plasmonic waveguides with tailored losses. In this setup the time-periodic dissipation is the only active mechanism and notably, we find...
Stairway Codes: Floquetifying Bivariate Bicycle Codes and Beyond
Shoham Jacoby, Alex Retzker, Fernando Pastawski·Feb 27, 2026
Floquet codes define fault-tolerant protocols through periodic measurement sequences that drive a dynamically evolving stabilizer group. They provide a natural framework for hardware supporting two-qubit parity measurements but no unitary entangling ...
Pretty Good Measurement for Radiomics: A Quantum-Inspired Multi-Class Classifier for Lung Cancer Subtyping and Prostate Cancer Risk Stratification
Giuseppe Sergioli, Carlo Cuccu, Giovanni Pasini +4 more·Feb 27, 2026
We investigate a quantum-inspired approach to supervised multi-class classification based on the \emph{Pretty Good Measurement} (PGM), viewed as an operator-valued decision rule derived from quantum state discrimination. The method associates each cl...
From State-Space Transport to Measurement-Aware Distinguishability in Quantum Sensing
Arnaud Coatanhay, Angélique Drémeau·Feb 27, 2026
Overlap-based distinguishability measures, such as fidelity- or Chernoff-type quantities, play a central role in quantum sensing and quantum illumination. In strongly lossy and fluctuating environments, however, these quantities may become numericall...
Asymptotically Solvable Quantum Circuits
Samuel H. Pickering, Bruno Bertini·Feb 27, 2026
The discovery of chaotic quantum circuits with (partially) solvable dynamics has played a key role in our understanding of non-equilibrium quantum matter and, at the same time, has helped the development of concrete platforms for quantum computation....
Comparing Classical and Quantum Variational Classifiers on the XOR Problem
Miras Seilkhan, Adilbek Taizhanov·Feb 27, 2026
Quantum machine learning applies principles such as superposition and entanglement to data processing and optimization. Variational quantum models operate on qubits in high-dimensional Hilbert spaces and provide an alternative approach to model expre...
Complexity of Satisfiability in Kochen-Specker Partial Boolean Algebras
Anuj Dawar, Nihil Shah·Feb 27, 2026
The Kochen-Specker no-go theorem established that hidden-variable theories in quantum mechanics necessarily admit contextuality. This theorem is formally stated in terms of the partial Boolean algebra structure of projectors on a Hilbert space. Each ...
Advanced Scheduling Strategies for Distributed Quantum Computing Jobs
Gongyu Ni, Davide Ferrari, Lester Ho +1 more·Feb 27, 2026
Distributed quantum computing (DQC) is being actively investigated as a means of scaling the number of qubits across multiple connected quantum devices. This includes quantum circuit compilation and execution management on multiple quantum devices in...
Estimating the performance boundary of Gottesman-Kitaev-Preskill codes and number-phase codes
Kai-Xuan Wen, Dong-Long Hu, Shengyong Li +1 more·Feb 27, 2026
Bosonic quantum error-correcting codes encode logical information in a harmonic oscillator, with the Gottesman-Kitaev-Preskill (GKP) and number-phase (NP) codes representing two fundamentally different encoding paradigms. Although both have been exte...
A frequency-agile microwave-optical interface for superconducting qubits
Yufeng Wu, Yiyu Zhou, Haoqi Zhao +4 more·Feb 27, 2026
Superconducting quantum processors operate at microwave frequencies in millikelvin environments, making it challenging to interconnect distant nodes using conventional microwave wiring. Coherent microwave-to-optical (M2O) transduction enables superco...
Integrated nanophotonic platform for on-chip quantum emitter interactions and entanglement
Yinhui Kan, Shailesh Kumar, Xujing Liu +2 more·Feb 27, 2026
Entanglement between solid-state quantum emitters (QEs) is a key resource for photonic quantum technologies. Achieving such entanglement requires strong and controllable long-range interactions between QEs. However, engineering such coupling remains ...
Heralded entangled state generation enhanced by photon addition and subtraction
Yun-Long Cao, Xiao-Ye Xu, Chuan-Feng Li +1 more·Feb 27, 2026
We propose a heralded entanglement generation scheme based on Gaussian sources enhanced by photon addition and subtraction operations. By combining single-mode squeezing, linear interferometers, and conditional photon-number measurements on ancillary...
Highly-linear flux-to-voltage transducer based on superconducting quantum interference proximity transistors
Angelo Greco, Giorgio De Simoni, Francesco Giazotto·Feb 27, 2026
Superconducting quantum interference devices (SQUIDs) are state-of-the-art in ultra-sensitive magnetometry; however, conventional SQUID devices are fundamentally limited by the inherently nonlinear and periodic nature of their transfer function. Alth...
Optimized Compilation for Distributed Quantum Computing
Michele Bandini, Davide Ferrari, Stefano Carretta +1 more·Feb 27, 2026
In many practical applications, quantum algorithms require several qubits, significantly more than those available with current noisy intermediate-scale quantum processors. Distributed quantum computing (DQC) is considered a scalable approach to incr...
Learning spectral density functions in open quantum systems
Felipe Peleteiro, João Victor Shiguetsugo Kawanami Lima, Pedro Marcelo Prado +2 more·Feb 27, 2026
Spectral density functions quantify how environmental modes couple to quantum systems and govern their open dynamics. Inferring such frequency-dependent functions from time-domain measurements is an ill-conditioned inverse problem. Here, we use exact...