Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum reinforcement learning-based active flow control
Hongfu Zhang, Hui Tang·Jan 25, 2026
Active flow control remains a significant challenge due to the high-dimensional, nonlinear nature of fluid dynamics. Quantum machine learning may prove effective in addressing these issues, given that quantum computing possesses superiority over trad...
General framework for quantifying entanglement production in ultracold molecular collisions and chemical reactions
Adrien Devolder, Paul Brumer, Timur Tscherbul·Jan 23, 2026
Entanglement, a defining feature of quantum mechanics, arises naturally from interactions between molecular systems. Yet the precise nature and quantification of entanglement in the products of molecular collisions and reactions remain largely unexpl...
Noise Resilience and Robust Convergence Guarantees for the Variational Quantum Eigensolver
Mirko Legnini, Julian Berberich·Jan 23, 2026
Variational Quantum Algorithms (VQAs) are a class of hybrid quantum-classical algorithms that leverage on classical optimization tools to find the optimal parameters for a parameterized quantum circuit. One relevant application of VQAs is the Variati...
Classical Regularization in Variational Quantum Eigensolvers
Yury Chernyak, Ijaz Ahamed Mohammad, Martin Plesch·Jan 23, 2026
While quantum computers are a very promising tool for the far future, in their current state of the art they remain limited both in size and quality. This has given rise to hybrid quantum-classical algorithms, where the quantum device performs only a...
Scaling Sample-Based Quantum Diagonalization on GPU-Accelerated Systems using OpenMP Offload
Robert Walkup, Juha Jäykkä, Igor Pasichnyk +14 more·Jan 22, 2026
Hybrid quantum-HPC algorithms advance research by delegating complex tasks to quantum processors and using HPC systems to orchestrate workflows and complementary computations. Sample-based quantum diagonalization (SQD) is a hybrid quantum-HPC method ...
Robust Quantum Algorithmic Binary Decision-Making on Displacement Signals
Aishwarya Majumdar, Yuan Liu·Jan 22, 2026
A relevant signal in the quantum domain may manifest as a displacement or a phase shift operator in the bosonic phase space. For a real parameter $β$ embedded in such a displacement operator, the task of determining if $β\in [β_{-th}, β_{+th}]$ for r...
Lightweight Quantum-Enhanced ResNet for Coronary Angiography Classification: A Hybrid Quantum-Classical Feature Enhancement Framework
Jingsong Xia·Jan 22, 2026
Background: Coronary angiography (CAG) is the cornerstone imaging modality for evaluating coronary artery stenosis and guiding interventional decision-making. However, interpretation based on single-frame angiographic images remains highly operator-d...
Quantum-HPC hybrid computation of biomolecular excited-state energies
Kentaro Yamamoto, Riku Masui, Takahito Nakajima +16 more·Jan 22, 2026
We develop a workflow within the ONIOM framework and demonstrate it on the hybrid computing system consisting of the supercomputer Fugaku and the Quantinuum Reimei trapped-ion quantum computer. This hybrid platform extends the layered approach for bi...
Quantum-Enhanced Convergence of Physics-Informed Neural Networks
Nils Klement, Veronika Eyring, Mierk Schwabe·Jan 21, 2026
Partial differential equations (PDEs) form the backbone of simulations of many natural phenomena, for example in climate modeling, material science, and even financial markets. The application of physics-informed neural networks to accelerate the sol...
A framework to evaluate the performance of Variational Quantum Algorithms
Ernesto Mamedaliev, Vladyslav Libov, Albert Nieto-Morales +2 more·Jan 21, 2026
Variational Quantum Algorithms (VQAs) are promising methods for solving combinatorial optimization problems on noisy intermediate-scale quantum (NISQ) devices. However, benchmarking VQAs is difficult due to their stochastic behavior and the lack of s...
Resonant Excitation Induced Vibronic Mollow Triplets
Devashish Pandey, Corne Koks, Martijn Wubs +2 more·Jan 21, 2026
The Mollow triplet is the definitive spectral signature of an optically dressed quantum emitter. We predict that for emitters coupled to localized phonons, this signature is not confined to the zero-phonon line. Under a strong resonant drive, we show...
Kerr-enhanced amplification of three-wave mixing and emergent masing regimes
Ragheed Alhyder, Rishabh Sahu, Johannes M. Fink +2 more·Jan 21, 2026
Integrated optical microresonators exploiting either second-order ($χ^{(2)}$) or third-order ($χ^{(3)}$) nonlinearities have become key platforms for frequency conversion, low-noise microwave photonics, and quantum entanglement generation. Here, we p...
Performance enhancing of hybrid quantum-classical Benders approach for MILP optimization
Sergio López-Baños, Elisabeth Lobe, Ontje Lünsdorf +1 more·Jan 20, 2026
Mixed-integer linear programming problems are extensively used in industry for a wide range of optimization tasks. However, as they get larger, they present computational challenges for classical solvers within practical time limits. Quantum annealer...
Low-Resource Quantum Energy Gap Estimation via Randomization
Hugo Pages, Chusei Kiumi, Yuto Morohoshi +2 more·Jan 20, 2026
Estimating the energy spectra of quantum many-body systems is a fundamental task in quantum physics, with applications ranging from chemistry to condensed matter. Algorithmic shadow spectroscopy is a recent method that leverages randomized measuremen...
Squeezed-Light-Enhanced Multiparameter Quantum Estimation in Cavity Magnonics
Hamza Harraf, Mohamed Amazioug, Rachid Ahl Laamara·Jan 20, 2026
Improving multiparameter quantum estimation in magnonic systems via quantum noise suppression is a well-established and critical research objective. In this work, we propose an experimentally realistic scheme to improve the precision of simultaneousl...
Loopless multiterminal quantum circuits at odd parity
Antonio Manesco, Anton Akhmerov, Valla Fatemi·Jan 19, 2026
We theoretically investigate loopless multiterminal hybrid superconducting devices at odd fermion parity with time-reversal symmetry. We find that the energy-phase relationship has a double minimum corresponding to opposite windings of the supercondu...
The resonant level model from a Krylov perspective: Lanczos coefficients in a quadratic model
Merlin Füllgraf, Jiaozi Wang, Jochen Gemmer +1 more·Jan 19, 2026
We study the Lanczos coefficients in a quadratic model given by an impurity interacting with a multi-mode field of fermions, also known as resonant level model. We analytically derive closed expressions for the Lanczos coefficients of Majorana fermio...
Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
Fan Fan, Yilei Shi, Mihai Datcu +5 more·Jan 19, 2026
Machine Learning (ML) has been widely applied across numerous domains due to its ability to automatically identify informative patterns from data for various tasks. The availability of large-scale data and advanced computational power enables the dev...
Hierarchy of quantum correlations in qubit-qutrit axially symmetric states
Venkat Abhignan, R. Muthuganesan·Jan 18, 2026
We investigate quantum correlations in a hybrid qubit-qutrit system subject to both axial and planar single-ion anisotropies, dipolar spin-spin interactions, and Dzyaloshinskii-Moriya (DM) coupling. Using Negativity, Measurement-Induced Non-locality ...
Quantum interference between spectral bandwidth mismatched photons
Jan Krzyżanowski, Jerzy Szuniewicz, Sanjay Kapoor +2 more·Jan 17, 2026
Two-photon interference is a cornerstone of photonic quantum technologies. However, its practical implementation in promising hybrid architectures is severely constrained by the requirement of photon wavepacket indistinguishability, in particular, in...