Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Learning Better Error Correction Codes with Hybrid Quantum-Assisted Machine Learning
Yariv Yanay·Jan 12, 2026
Quantum error correction is one of the fundamental building blocks of digital quantum computation. The Quantum Lego formalism has introduced a systematic way of constructing new stabilizer codes out of basic lego-like building blocks, which in previo...
Mechanical Resonator-based Quantum Computing
Yu Yang, Igor Kladaric, Martynas Skrabulis +11 more·Jan 12, 2026
Hybrid quantum systems combine the unique advantages of different physical platforms with the goal of realizing more powerful and practical quantum information processing devices. Mechanical systems, such as bulk acoustic wave resonators, feature a l...
A unified framework for Bell inequalities from continuous-variable contextuality
Carlos Ernesto Lopetegui-González, Gaël Massé, Enky Oudot +6 more·Jan 12, 2026
Although the original EPR paradox was formulated in terms of position and momentum, most studies of these phenomena have focused on measurement scenarios with only a discrete number of possible measurement outcomes. Here, we present a framework for s...
Quantum-Compatible Dictionary Learning via Doubly Sparse Models
Angshul Majumdar·Jan 12, 2026
Dictionary learning (DL) is a core tool in signal processing and machine learning for discovering sparse representations of data. In contrast with classical successes, there is currently no practical quantum dictionary learning algorithm. We argue th...
Axion Signal Search Using Hybrid Nuclear-Electronic Spin Systems
Xiangjun Tan, Zhanning Wang·Jan 11, 2026
Conventional nuclear magnetic resonance searches for the galactic axion wind lose sensitivity at low frequencies due to the unfavourable scaling of inductive readout. Here, we propose a hybrid architecture where the hyperfine interaction transduces a...
Counterdiabatic ADAPT-VQE for molecular simulation
Diego Tancara, Herbert Díaz-Moraga, Dardo Goyeneche·Jan 9, 2026
Among variational quantum algorithms designed for NISQ devices, ADAPT-VQE stands out for its robustness against barren plateaus, particularly in estimating molecular ground states. On the other hand, counterdiabatic algorithms have shown advantages i...
A three-dimensional multimode lumped-element resonator for collective spin manipulation and dispersive readout
Zhuo Chen, Wenhua Qin, Hanyu Ren +5 more·Jan 9, 2026
We report a three-dimensional lumped-element multimode microwave resonator that enables homogeneous collective manipulation and dispersive readout of a macroscopic spin ensemble. By exploiting geometric symmetry, two antisymmetric modes with strongly...
LOTUS: Layer-ordered Temporally Unified Schedules For Quantum Approximate Optimization Algorithms
Phuong-Nam Nguyen·Jan 9, 2026
In this paper, we introduce LOTUS (Layer-Ordered Temporally-Unified Schedules), which is a framework that restructures QAOA from a high-dimensional, chaotic search into a low-dimensional dynamical system. By replacing independent layer-wise angles wi...
Fundamental Limitations on the Reliabilities of Power and Work in Quantum Batteries
Brij Mohan, Tanmoy Pandit, Maciej Lewenstein +1 more·Jan 8, 2026
Quantum batteries, microscopic devices designed to address energy demands in quantum technologies, promise high power during charging and discharging processes. Yet their practical usefulness and performance depend critically on reliability, quantifi...
Exponential capacity scaling of classical GANs compared to hybrid latent style-based quantum GANs
Milan Liepelt, Julien Baglio·Jan 8, 2026
Quantum generative modeling is a very active area of research in looking for practical advantage in data analysis. Quantum generative adversarial networks (QGANs) are leading candidates for quantum generative modeling and have been applied to diverse...
Machine learning-aided direct estimation of coherence and entanglement for unknown states
Ting Lin, Zhihua Chen, Kai Wu +3 more·Jan 8, 2026
Quantum coherence and entanglement are fundamental resources in quantum technologies, yet their efficient estimation for unknown states by employing minimal resources in experimental settings remains challenging, particularly in high-dimensional syst...
Fast, high-fidelity Transmon readout with intrinsic Purcell protection via nonperturbative cross-Kerr coupling
Guillaume Beaulieu, Jun-Zhe Chen, Marco Scigliuzzo +5 more·Jan 8, 2026
Dispersive readout of superconducting qubits relies on a transverse capacitive coupling that hybridizes the qubit with the readout resonator, subjecting the qubit to Purcell decay and measurement-induced state transitions (MIST). Despite the widespre...
PACOX: A FPGA-based Pauli Composer Accelerator for Pauli String Computation
Tran Xuan Hieu Le, Tuan Hai Vu, Vu Trung Duong Le +2 more·Jan 8, 2026
Pauli strings are a fundamental computational primitive in hybrid quantum-classical algorithms. However, classical computation of Pauli strings suffers from exponential complexity and quickly becomes a performance bottleneck as the number of qubits i...
A scalable gallium-phosphide-on-diamond spin-photon interface
Nicholas S. Yama, Chun-Chi Wu, Fariba Hatami +1 more·Jan 8, 2026
The efficient interfacing of quantum emitters and photons is fundamental to quantum networking. Quantum defects embedded in integrated nanophotonic circuits are promising for such applications due to the deterministic light-matter interactions of hig...
The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
Dominik Freinberger, Philipp Moser·Jan 8, 2026
Quantum machine learning has emerged as a promising application domain for near-term quantum hardware, particularly through hybrid quantum-classical models that leverage both classical and quantum processing. Although numerous hybrid architectures ha...
SurgeQ: A Hybrid Framework for Ultra-Fast Quantum Processor Design and Crosstalk-Aware Circuit Execution
Xinxuan Chen, Hongxiang Zhu, Zhaohui Yang +4 more·Jan 8, 2026
Executing quantum circuits on superconducting platforms requires balancing the trade-off between gate errors and crosstalk. To address this, we introduce SurgeQ, a hardware-software co-design strategy consisting of a design phase and an execution pha...
Solving nonlinear differential equations on noisy $156$-qubit quantum computers
Karla Baumann, Youcef Modheb, Roman Randrianarisoa +3 more·Jan 7, 2026
In this paper, we report on the resolution of nonlinear differential equations using IBM's quantum platform. More specifically, we demonstrate that the hybrid classical-quantum algorithm H-DES successfully solves a one-dimensional material deformatio...
Below-shot-noise capacity in phase estimation using nonlinear interferometers
Cristofero Oglialoro, Gerard J. Machado, Felix Farsch +7 more·Jan 7, 2026
Over the past decade, several schemes for imaging and sensing based on nonlinear interferometers have been proposed and demonstrated experimentally. These interferometers exhibit two main advantages. First, they enable probing a sample at a chosen wa...
Bridging the Linear-Quadratic Gap: A Quantum-Classical Hybrid Approach to Robust Supply Chain Design
Rudraksh Sharma, Ravi Katukam, Arjun Nagulapally·Jan 7, 2026
The design of supply chain networks in densely populated urban logistics systems faces a timely dilemma: the traditional optimisation approaches are effective to maximise the level of demand perfusion, but they are limited to embracing large expenses...
Quantum Monte Carlo Simulations for predicting electron-positron pair production via the linear Breit-Wheeler process
Lucas I. Iñigo Gamiz, Óscar Amaro, Efstratios Koukoutsis +1 more·Jan 7, 2026
Quantum computing (QC) has the potential to revolutionise the future of scientific simulations. To harness the capabilities that QC offers, we can integrate it into hybrid quantum-classical simulations, which can boost the capabilities of supercomput...