Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
General Theory of Stable Microwave-Optical Quantum Resources in Hybrid-System Dynamics
Fan Li, Shi-fan Qi, Z. D. Wang +1 more·Feb 11, 2026
We develop a general theoretical framework for characterizing stable quantum resources between microwave and optical modes in the dynamics of multipartite hybrid quantum systems with intermediary modes. The effective Hamiltonian for microwave-optical...
Multiconfiguration Pair-Density Functional Theory Calculations of Ground and Excited States of Complex Chemical Systems with Quantum Computers
Zhanou Liu, Yuhao Chen, Ying Ma +2 more·Feb 11, 2026
Accurately describing strong electron correlation in complex systems remains a prominent challenge in computational chemistry as near-term quantum algorithms treating total correlation often require prohibitively deep circuits. Here we present a hybr...
Preventing Barren Plateaus in Continuous Quantum Generative Models
Olli Hirviniemi, Afrad Basheer, Thomas Cope·Feb 10, 2026
Recent developments in the field of variational quantum circuits (VQCs) have shifted the prerequisites for trainability for many barren plateau-free models onto the data encoding state fed into a classically trainable unitary. By strengthening proofs...
Framework for (non-)adiabatic chiral state conversion: from non-Hermitian Hamiltonians to Liouvillians
Elna Svegborn, Shishir Khandelwal·Feb 10, 2026
Adiabatic chiral state conversion (CSC) is one of the many counterintuitive effects associated with non-Hermitian physics. In quantum systems, numerous works have demonstrated this phenomenon under both non-Hermitian Hamiltonian and Lindblad evolutio...
Efficient and deterministic high-dimensional controlled-swap gates on hybrid linear optical systems with high fidelity
Gui-Long Jiang, Jun-Bin Yuan, Wen-Qiang Liu +1 more·Feb 10, 2026
Implementation of quantum logic gates with linear optical elements plays a prominent role in quantum computing due to the relatively easier manipulation and realization. We present efficient schemes to implement controlled-NOT (CNOT) gate and control...
A Trainable-Embedding Quantum Physics-Informed Framework for Multi-Species Reaction-Diffusion Systems
Ban Q. Tran, Nahid Binandeh Dehaghani, A. Pedro Aguiar +2 more·Feb 10, 2026
Physics-informed neural networks (PINNs) and hybrid quantum-classical extensions provide a promising framework for solving partial differential equations (PDEs) by embedding physical laws directly into the learning process. In this work, we study emb...
Negative Hybridization: a Potential Cure for Braiding with Imperfect Majorana Modes
Cole Peeters, Themba Hodge, Stephan Rachel·Feb 9, 2026
Majorana zero modes, the elementary building blocks for the quantum bits of topological quantum computers, are known to suffer from hybridization as their wavefunctions begin to overlap. This breaks the ground state degeneracy, splitting their energy...
Hybrid Method of Efficient Simulation of Physics Applications for a Quantum Computer
Carla Rieger, Albert T. Schmitz, Gehad Salem +5 more·Feb 9, 2026
Quantum chemistry and materials science are among the most promising areas for demonstrating algorithmic quantum advantage and quantum utility due to their inherent quantum mechanical nature. Still, large-scale simulations of quantum circuits are ess...
High-Probability Heralded Entanglement via Repeated Spin-Photon Phase Encoding with Moderate Cooperativity
Yu Liu, Martin B. Plenio·Feb 9, 2026
We propose a heralded high-probability scheme to generate remote entanglement between moderate-cooperativity spin-cavity registers with high fidelity. In conventional single-shot interfaces, limited cooperativity restricts the spin-conditional optica...
Weak forms offer strong regularisations: how to make physics-informed (quantum) machine learning more robust
Annie E. Paine, Smit Chaudhary, Antonio A. Gentile·Feb 9, 2026
Physics-informed (PI) methodologies have surged to become a pillar route to solve Differential Equations (DEs), sustained by the growth of machine learning methods in scientific contexts. The main proposition of PI is to minimise variationally a loss...
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...
Improved entanglement-based high-dimensional optical quantum computation with linear optics
Huan-Chao Gao, Guo-Zhu Song, Hai-Rui Wei·Feb 8, 2026
Quantum gates are the essential block for quantum computer. High-dimensional quantum gates exhibit remarkable advantages over their two-dimensional counterparts for some quantum information processing tasks. Here we present a family of entanglement-b...
Multi-Agent Route Planning as a QUBO Problem
Renáta Rusnáková, Martin Chovanec, Juraj Gazda·Feb 8, 2026
Multi-Agent Route Planning considers selecting vehicles, each associated with a single predefined route, such that the spatial coverage of a road network is increased while redundant overlaps are limited. This paper gives a formal problem definition,...
Squeezing-enhanced dual-channel interference for ground-state cooling of a levitated micromagnet with low quality factor
Lei Chen, Zhe-qi Yang, Liang Bin +1 more·Feb 7, 2026
Cooling the center-of-mass (CM) motion of a macroscopic oscillator to its quantum ground state is a fundamental prerequisite for testing quantum mechanics at macroscopic scales. However, achieving this goal is currently hindered by the stringent requ...
The Quantum Sieve Tracer: A Hybrid Framework for Layer-Wise Activation Tracing in Large Language Models
Jonathan Pan·Feb 6, 2026
Mechanistic interpretability aims to reverse-engineer the internal computations of Large Language Models (LLMs), yet separating sparse semantic signals from high-dimensional polysemantic noise remains a significant challenge. This paper introduces th...
Hybrid Coupling Topology with Dynamic ZZ Suppression for Optimizing Circuit Depth during Runtime in Superconducting Quantum Processor
Uday Sannigrahi, Amlan Chakrabarti, Swapnil Saha +1 more·Feb 6, 2026
To reduce circuit depth when executing Quantum algorithms, it is necessary to maximize qubit connectivity on a near-term quantum processor. While addressing this, we also need to ensure high gate fidelity, suppression of unwanted ZZ cross-talk, a com...
Normal mode splitting induced synchronization blockade in coupled quantum van der Pol oscillators
Nissi Thomas, M. Senthilvelan·Feb 6, 2026
We report a normal-mode induced synchronization blockade in coupled quantum van der Pol oscillators under the influence of external drive. In this mechanism, the coupling hybridizes the oscillator modes into spectrally split normal modes. The destruc...
HyQuRP: Hybrid quantum-classical neural network with rotational and permutational equivariance for 3D point clouds
Semin Park, Chae-Yeun Park·Feb 6, 2026
We introduce HyQuRP, a hybrid quantum-classical neural network equivariant to rotational and permutational symmetries. While existing equivariant quantum machine learning models often rely on ad hoc constructions, HyQuRP is built upon the formal foun...
Hybrid Quantum Image Preparation via JPEG Compression
Emad Rezaei Fard Boosari·Feb 5, 2026
We present a hybrid classical-quantum image preparation scheme that reduces the quantum implementation cost of image loading for quantum pixel information encoding (QPIE). The proposed method, termed JPEG-assisted QPIE (JQPIE), loads only the quantiz...
Quantum-controlled synthetic materials
Andrei Vrajitoarea, Gabrielle Roberts, Kaden R. A. Hazzard +2 more·Feb 5, 2026
Analog quantum simulators and digital quantum computers are two distinct paradigms driving near-term applications in modern quantum science, from probing many-body phenomena to identifying computational advantage over classical systems. A transformat...