Quantum Brain

Papers

Live trends in quantum computing research, updated daily from arXiv.

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27,548

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Research Volume

12,910 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 abstractsPhotonic leads

4,695 papers found

Amplitude-amplified coherence detection and estimation

Rhea Alexander, Michalis Skotiniotis, Daniel Manzano·Dec 17, 2025

The detection and characterization of quantum coherence is of fundamental importance both in the foundations of quantum theory as well as for the rapidly developing field of quantum technologies, where coherence has been linked to quantum advantage. ...

Quantum Physics

Bosonic quantum computing with near-term devices and beyond

Timo Hillmann·Dec 17, 2025

(Abridged.) This thesis investigates scalable fault-tolerant quantum computation through the development of bosonic quantum codes, quantum LDPC codes, and decoding protocols that connect continuous-variable and discrete-variable error correction. We ...

Quantum Physics

Microscopic model for a spatial multimode generation based on Multi-pump Four Wave Mixing in hot vapours

H. M. Florez·Dec 17, 2025

Multipartite entanglement is an important resource for quantum information processing. It has been shown that it is possible to employ alkali atoms to implement single device multipartite entanglement by using nonlinear processes with spatial modes. ...

Quantum Physics

Noise-Induced Thermalization in Quantum Systems

Sameer Dambal, Yu Zhang, Eric R Bittner +1 more·Dec 16, 2025

In the current Noisy Intermediate-Scale Quantum era, noise is widely regarded as the primary obstacle to achieving fault-tolerant quantum computation. However, certain stages of the quantum computing pipeline can, in fact, benefit from this noise. In...

Quantum Physicscond-mat.stat-mech

Symmetric Dicke States as Optimal Probes for Wave-Like Dark Matter

Ping He, Jing Shu, Bin Xu +1 more·Dec 16, 2025

We identify symmetric Dicke states as the optimal quantum probes for distributed sensing of wave-like dark-matter fields. Within an ensemble-averaged quantum-metrological framework that incorporates the field's random phases and finite coherence, the...

hep-phhep-exQuantum Physics

Physics-Informed Neural Networks with Adaptive Constraints for Multi-Qubit Quantum Tomography

Changchun Feng, Laifa Tao, Lin Chen·Dec 16, 2025

Quantum state tomography (QST) faces exponential measurement requirements and noise sensitivity in multi-qubit systems, bottlenecking practical quantum technologies. We present a physics-informed neural network (PINN) framework integrating quantum me...

Quantum Physics

A Graph-Based Forensic Framework for Inferring Hardware Noise of Cloud Quantum Backend

Subrata Das, Archisman Ghosh, Swaroop Ghosh·Dec 16, 2025

Cloud quantum platforms give users access to many backends with different qubit technologies, coupling layouts, and noise levels. The execution of a circuit, however, depends on internal allocation and routing policies that are not observable to the ...

Quantum PhysicsEmerging Tech

Finite-Time Protocols Stabilize Charging in Noisy Ising Quantum Batteries

Riccardo Grazi, Henrik Johannesson, Dario Ferraro +1 more·Dec 16, 2025

Reliable charging protocols are crucial for advancing quantum batteries toward practical use. We investigate a transverse-field Ising chain as a quantum battery, focusing on the combined role of qubit interactions in the battery model and finite char...

Quantum PhysicsMesoscale Physics

Large circuit execution for NMR spectroscopy simulation on NISQ quantum hardware

Artemiy Burov, Julien Baglio, Clément Javerzac-Galy·Dec 16, 2025

With the latest advances in quantum computing technology, we are gradually moving from the noisy intermediate-scale quantum (NISQ) era characterized by hardware limited in the number of qubits and plagued with quantum noise, to the age of quantum uti...

Quantum Physics

Graphene-Insulator-Superconductor junctions as thermoelectric bolometers

Leonardo Lucchesi, Federico Paolucci·Dec 16, 2025

We design a superconducting thermoelectric bolometer made of a Graphene-Insulator-Superconductor tunnel junction. Our detector has the advantage of being passive, as it directly transduces input power to a voltage without the need to modulate an exte...

Mesoscale Physicscond-mat.supr-conQuantum Physics

Ground State Energy via Adiabatic Evolution and Phase Measurement for a Molecular Hamiltonian on an Ion-Trap Quantum Computer

Ludwig Nützel, Michael J. Hartmann, Henrik Dreyer +1 more·Dec 16, 2025

Estimating molecular ground-state energies is a central application of quantum computing, requiring both the preparation of accurate quantum states and efficient energy readout. Understanding the effect of hardware noise on these experiments is cruci...

Quantum Physics

Hybrid acousto-optical spin control in quantum dots

Mateusz Kuniej, Paweł Machnikowski, Michał Gawełczyk·Dec 16, 2025

Mechanical degrees of freedom very weakly couple to spins in semiconductors. The inefficient coupling between phonons and single electron spins in semiconductor quantum dots (QDs) hinders their integration into on-chip acoustically coupled quantum hy...

Mesoscale PhysicsQuantum Physics

A nonlinear quantum neural network framework for entanglement engineering

Adriano Macarone-Palmieri, Alberto Ferrara, Rosario Lo Franco·Dec 16, 2025

Multipartite entanglement is a crucial resource for quantum technologies; however, its scalable generation in noisy quantum devices remains a significant challenge. Here, we propose a low-depth quantum neural network architecture with linear scaling,...

Quantum Physics

Coherence-Sensitive Readout Models for Quantum Devices: Beyond the Classical Assignment Matrix

Zachariah Malik, Zain Saleem·Dec 15, 2025

Readout error models for noisy quantum devices almost universally assume that measurement noise is classical: the measurement statistics are obtained from the ideal computational-basis populations by a column-stochastic assignment matrix $A$. This de...

Quantum PhysicsMathematical Physics

Group-Theoretic Reinforcement Learning of Dynamical Decoupling Sequences

Charles Marrder, Shuo Sun, Murray J. Holland·Dec 15, 2025

Dynamical decoupling seeks to mitigate phase decoherence in qubits by applying a carefully designed sequence of effectively instantaneous electromagnetic pulses. Although analytic solutions exist for pulse timings that are optimal under specific nois...

Quantum Physicscs.LGeess.SY

Decoding 3D color codes with boundaries

Friederike Butt, Lars Esser, Markus Müller·Dec 15, 2025

Practical large-scale quantum computation requires both efficient error correction and robust implementation of logical operations. Three-dimensional (3D) color codes are a promising candidate for fault-tolerant quantum computation due to their trans...

Quantum Physics

Achievable Trade-Off in Network Nonlocality Sharing

Ming-Xiao Li, Yuqi Li, Rui-Bin Xu +4 more·Dec 15, 2025

Quantum networks are essential for advancing scalable quantum information processing. Quantum nonlocality sharing provides a crucial strategy for the resource-efficient recycling of quantum correlations, offering a promising pathway toward scaling qu...

Quantum Physics

Projected Optimal Sensors from Operator Orbits

Sooryansh Asthana, Yeshma Ibrahim, Norman Tze Wei Koo +1 more·Dec 15, 2025

We unify Ramsey, twist-untwist, and random quantum sensors using operator algebra and account for the Fisher scaling of various sensor designs. We illustrate how the operator orbits associated with state preparation inform the scaling of the sensitiv...

Quantum Physics

Coherent feedback-enhanced asymmetry of thermal process in open quantum systems: Cavity optomechanics

Hamza Harraf, Mohamed Amazioug, Rachid Ahl Laamara·Dec 15, 2025

Entropy production is a fundamental concept in nonequilibrium thermodynamics, providing a direct measure of the irreversibility inherent in any physical process. In this work, we investigate in steady-state the enhancement of irreversibility employin...

Quantum Physics

Dual-Qubit Hierarchical Fuzzy Neural Network for Image Classification: Enabling Relational Learning via Quantum Entanglement

Wenwei Zhang, Jintao Wang, Tianyu Ye +1 more·Dec 15, 2025

Classical deep neural network models struggle to represent data uncertainty and capture dependencies between features simultaneously, especially under fuzzy or noisy conditions. Although a quantum-assisted hierarchical fuzzy neural network (QA-HFNN) ...

Quantum Physics
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