Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Intelligent Control of Collisional Architectures for Deterministic Multipartite State Engineering
Duc-Kha Vu, Minh Tam Nguyen, Özgür E. Müstecaplıoğlu +1 more·Feb 9, 2026
Designing scalable, noise-tolerant control protocols for multipartite entanglement is a central challenge for quantum technologies, and it naturally calls for \emph{algorithmic} synthesis of interaction parameters rather than handcrafted gate sequenc...
Coupling between CaWO$_4$ phonons and Er$^{3+}$ dopants
Mikhael T. Sayat, Federico Pisani, Hin Lok Chang +8 more·Feb 9, 2026
We investigate the lattice dynamics of CaWO$_4$, a promising host crystal for erbium-based quantum memories, using inelastic neutron scattering together with density-functional perturbation theory. The measured phonon dispersion along the (100), (001...
Empirical Study of Observable Sets in Multiclass Quantum Classification
Paul San Sebastian, Mikel Cañizo, Roman Orus·Feb 9, 2026
Variational quantum algorithms have gained attention as early applications of quantum computers for learning tasks. In the context of supervised learning, most of the works that tackle classification problems with parameterized quantum circuits const...
Gesture Matters: Pedestrian Gesture Recognition for AVs Through Skeleton Pose Evaluation
Alif Rizqullah Mahdi, Mahdi Rezaei, Natasha Merat·Feb 9, 2026
Gestures are a key component of non-verbal communication in traffic, often helping pedestrian-to-driver interactions when formal traffic rules may be insufficient. This problem becomes more apparent when autonomous vehicles (AVs) struggle to interpre...
A building block of quantum repeaters for scalable quantum networks
Wen-Zhao Liu, Ya-Bin Zhou, Jiu-Peng Chen +26 more·Feb 9, 2026
Quantum networks, integrating quantum communication, quantum metrology, and distributed quantum computing, could provide secure and efficient information transfer, high-resolution sensing, and an exponential speed-up in information processing. Determ...
Classifying the simplest Bell inequalities beyond qubits and their applications towards self-testing
Palash Pandya, Shubhayan Sarkar, Remigiusz Augusiak·Feb 9, 2026
Bell inequalities reveal the fundamentally nonlocal character of quantum mechanics. In this regard, one of the interesting problems is to explore all possible Bell inequalities that demonstrate a gap between local and nonlocal quantum behaviour. This...
Non-Markovianity induced by Pauli-twirling
Joris Kattemölle, Balázs Gulácsi, Guido Burkard·Feb 9, 2026
Noise forms a central obstacle to effective quantum information processing. Recent experimental advances have enabled the tailoring of noise properties through Pauli twirling, transforming arbitrary noise channels into Pauli channels. This underpins ...
Plethysm is in #BQP
Matthias Christandl, Aram W. Harrow, Greta Panova +2 more·Feb 9, 2026
Some representation-theoretic multiplicities, such as the Kostka and the Littlewood-Richardson coefficients, admit a combinatorial interpretation that places their computation in the complexity class #P. Whether this holds more generally is considere...
Grover Adaptive Search with Problem-Specific State Preparation
Maximilian Hess, Lilly Palackal, Abhishek Awasthi +5 more·Feb 9, 2026
Grover's search algorithm is one of the basic building block in the world of quantum algorithms. Successfully applying it to combinatorial optimization problems is a subtle challenge. As a quadratic speedup is not enough to naively search an exponent...
The Finite Geometry of Breaking Quantum Secrets
Péter Lévay, Metod Saniga·Feb 9, 2026
Using a finite geometric framework for studying the pentagon and heptagon codes we show that the concepts of quantum secret sharing and contextuality can be studied in a nice and unified manner. The basic idea is a careful study of the respective $2+...
Efficient circuit compression by multi-qudit entangling gates in linear optical quantum computation
Apurav, Jaskaran Singh·Feb 9, 2026
Linear optical quantum computation (LOQC) offers a promising platform for scalable quantum information processing, but its scalability is fundamentally constrained by the probabilistic nature of non-local entangling gates. Qudit circuit compression s...
Quantum Detection of Sequency-Band Structure
Alok Shukla, Prakash Vedula·Feb 9, 2026
We present a quantum algorithm for estimating the amplitude content of user-specified sequency bands in quantum-encoded signals. The method employs a sequency-ordered Quantum Walsh-Hadamard Transform (QWHT), a comparator-based oracle that coherently ...
Roadmap to Quantum Aesthetics
Ivan C. H. Liu, Hsiao-Yuan Chen·Feb 9, 2026
Quantum mechanics occupies a central position in contemporary science while remaining largely inaccessible to direct sensory experience. This paper proposes a roadmap to quantum aesthetics that examines how quantum concepts become aesthetic phenomena...
Quantum-classical framework for many-fermion response and structure
Weijie Du, Yangguang Yang, Zixin Liu +2 more·Feb 9, 2026
Response functions are key observables for probing the structure and dynamics of many-body systems. We introduce and demonstrate a quantum-classical framework for computing response functions of general many-fermion systems that also provides the ful...
The simplified quantum circuits for implementing quantum teleportation
Wen-Xiu Zhang, Guo-Zhu Song, Hai-Rui Wei·Feb 9, 2026
It is crucial to design quantum circuits as small as possible and as shallow as possible for quantum information processing tasks. We design quantum circuits with simplified gate-count, cost, and depth for implementing quantum teleportation among var...
Antiferromagnetic Tunnel Junctions (AFMTJs) for In-Memory Computing: Modeling and Case Study
Yousuf Choudhary, Tosiron Adegbija·Feb 9, 2026
Antiferromagnetic Tunnel Junctions (AFMTJs) enable picosecond switching and femtojoule writes through ultrafast sublattice dynamics. We present the first end-to-end AFMTJ simulation framework integrating multi-sublattice Landau-Lifshitz-Gilbert (LLG)...
Trust-Based Incentive Mechanisms in Semi-Decentralized Federated Learning Systems
Ajay Kumar Shrestha·Feb 9, 2026
In federated learning (FL), decentralized model training allows multi-ple participants to collaboratively improve a shared machine learning model without exchanging raw data. However, ensuring the integrity and reliability of the system is challengin...
Quantization-aware Photonic Homodyne computing for Accelerated Artificial Intelligence and Scientific Simulation
Lian Zhou, Kaiwen Xue, Amirhossein Fallah +14 more·Feb 9, 2026
Modern problems in high-performance computing, ranging from training and inferencing deep learning models in computer vision and language models to simulating complex physical systems with nonlinearly-coupled equations, require exponential growth of ...
Preparing squeezed, cat and GKP states with parity measurements
Zhiyuan Lin, Sen Li, Jingyan Feng +3 more·Feb 9, 2026
Bosonic modes constitute a central resource in a wide range of quantum technologies, providing long-lived degrees of freedom for the storage, processing, and transduction of quantum information. Such modes naturally arise in platforms including circu...
Does fermionic entanglement always outperform bosonic entanglement in dilaton black hole?
Wen-Mei Li, Jianbo Lu, Shu-Min Wu·Feb 9, 2026
It has traditionally been believed that fermionic entanglement generally outperforms bosonic entanglement in relativistic frameworks, and that bosonic entanglement experiences sudden death in extreme gravitational environments. In this study, we anal...