Quantum Brain

Papers

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

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27,548

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12,910 papers in 12 months (-5% vs prior quarter)

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Qubit Platforms

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6,129 papers found

Limitations for adaptive quantum state tomography in the presence of detector noise

Adrian Skasberg Aasen, Martin Gärttner·Jan 7, 2026

Assumption-free reconstruction of quantum states from measurements is essential for benchmarking and certifying quantum devices, but it remains difficult due to the extensive measurement statistics and experimental resources it demands. An approach t...

Quantum Physics

Experimental Evaluation of a UAV-Mounted LEO Satellite Backhaul for Emergency Connectivity

Mattia Figaro, Francesco Rossato, Alexander Bonora +3 more·Jan 7, 2026

Reliable connectivity is critical for Public Protection and Disaster Relief operations, especially in rural or compromised environments where terrestrial infrastructure is unavailable. In such scenarios, NTNs, and specifically UAVs, are promising can...

cs.NIEmerging Tech

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...

physics.plasm-phQuantum Physics

Phases of the $q$-deformed $\mathrm{SU}(N)$ Yang-Mills theory at large $N$

Tomoya Hayata, Yoshimasa Hidaka, Hiromasa Watanabe·Jan 7, 2026

We investigate the $(2+1)$-dimensional $q$-deformed $\mathrm{SU}(N)_k$ Yang-Mills theory in the lattice Hamiltonian formalism, which is characterized by three parameters: the number of colors $N$, the coupling constant $g$, and the level $k$. By trea...

hep-latcond-mat.str-elhep-thQuantum Physics

Iterative Matrix Product State Simulation for Scalable Grover's Algorithm

Mei Ian Sam, Tzu-Ling Kuo, Tai-Yue Li·Jan 7, 2026

Grover's algorithm is a cornerstone of quantum search algorithm, offering quadratic speedup for unstructured problems. However, limited qubit counts and noise in today's noisy intermediate-scale quantum (NISQ) devices hinder large-scale hardware vali...

Quantum Physics

Quantum vs. Classical Machine Learning: A Benchmark Study for Financial Prediction

Rehan Ahmad, Muhammad Kashif, Nouhaila Innan +1 more·Jan 7, 2026

In this paper, we present a reproducible benchmarking framework that systematically compares QML models with architecture-matched classical counterparts across three financial tasks: (i) directional return prediction on U.S. and Turkish equities, (ii...

cs.LGQuantum Physics

Interference-Induced Suppression of Doublon Transport and Prethermalization in the Extended Bose-Hubbard Model

Zhen-Ting Bao, Kai Xu, Heng Fan·Jan 7, 2026

The coherent mobility of doublons, arising from second-order virtual dissociation-recombination processes, fundamentally limits their use as information carriers in the strongly interacting Bose-Hubbard model. We propose a disorder-free suppression m...

cond-mat.quant-gascond-mat.stat-mechQuantum Physics

Transmutation based Quantum Simulation for Non-unitary Dynamics

Shi Jin, Chuwen Ma, Enrique Zuazua·Jan 7, 2026

We present a quantum algorithm for simulating dissipative diffusion dynamics generated by positive semidefinite operators of the form $A=L^\dagger L$, a structure that arises naturally in standard discretizations of elliptic operators. Our main tool ...

Quantum Physics

Many-body Quantum Score: a scalable benchmark for digital and analog quantum processors and first test on a commercial neutral atom device

Harold Erbin, Pierre-Louis Burdeau, Corentin Bertrand +2 more·Jan 6, 2026

We propose the Many-body Quantum Score (MBQS), a practical and scalable application-level benchmark protocol designed to evaluate the capabilities of quantum processing units (QPUs)--both gate-based and analog--for simulating many-body quantum dynami...

Quantum Physicscond-mat.str-el

Time-Dependent Dunkl-Pauli Oscillator in the Presence of the Aharonov-Bohm Effect

Boubakeur Khantoul, Ahmed Tedjani·Jan 6, 2026

We present an exact, time-dependent solution for a two-dimensional Pauli oscillator deformed by Dunkl operators in the presence of an Aharonov--Bohm (AB) flux. By replacing conventional momenta with Dunkl momenta and allowing arbitrary time dependenc...

Quantum Physics

Eco-WakeLoc: An Energy-Neutral and Cooperative UWB Real-Time Locating System

Silvano Cortesi, Lukas Schulthess, Davide Plozza +2 more·Jan 6, 2026

Indoor localization systems face a fundamental trade-off between efficiency and responsiveness, which is especially important for emerging use cases such as mobile robots operating in GPS-denied environments. Traditional RTLS either require continuou...

cs.NIEmerging Techeess.SP

A Unified Frequency Principle for Quantum and Classical Machine Learning

Rundi Lu, Ruiqi Zhang, Weikang Li +3 more·Jan 6, 2026

Quantum neural networks constitute a key class of near-term quantum learning models, yet their training dynamics remain not fully understood. Here, we present a unified theoretical framework for the frequency principle (F-principle) that characterize...

Quantum Physics

Who can compete with quantum computers? Lecture notes on quantum inspired tensor networks computational techniques

Xavier Waintal, Chen-How Huang, Christoph W. Groth·Jan 6, 2026

This is a set of lectures on tensor networks with a strong emphasis on the core algorithms involving Matrix Product States (MPS) and Matrix Product Operators (MPO). Compared to other presentations, particular care has been given to disentangle aspect...

Quantum Physicscond-mat.str-el

Quantum-enhanced long short-term memory with attention for spatial permeability prediction in oilfield reservoirs

Muzhen Zhang, Yujie Cheng, Zhanxiang Lei·Jan 6, 2026

Spatial prediction of reservoir parameters, especially permeability, is crucial for oil and gas exploration and development. However, the wide range and high variability of permeability prevent existing methods from providing reliable predictions. Fo...

AIQuantum Physics

Compressed Qubit Noise Spectroscopy: Piecewise-Linear Modeling and Rademacher Measurements

Kaixin Huang, Demitry Farfurnik, Dror Baron +1 more·Jan 5, 2026

Random pulse sequences are a powerful method for qubit noise spectroscopy, enabling efficient reconstruction of sparse noise spectra. Here, we advance this method in two complementary directions. First, we extend the method using a regularizer based ...

Quantum Physicscs.IT

PauliEngine: High-Performant Symbolic Arithmetic for Quantum Operations

Leon Müller, Adelina Bärligea, Alexander Knapp +1 more·Jan 5, 2026

Quantum computation is inherently hybrid, and fast classical manipulation of qubit operators is necessary to ensure scalability in quantum software. We introduce PauliEngine, a high-performance C++ framework that provides efficient primitives for Pau...

Quantum PhysicsEmerging Techcs.SEphysics.comp-ph

Developments in superconducting erasure qubits for hardware-efficient quantum error correction

Maria Violaris, Luciana Henaut, James Wills +3 more·Jan 5, 2026

Quantum computers are inherently noisy, and a crucial challenge for achieving large-scale, fault-tolerant quantum computing is to implement quantum error correction. A promising direction that has made rapid recent progress is to design hardware that...

Quantum Physics

Simulating Non-Markovian Dynamics in Open Quantum Systems

Meng Xu, Vasilii Vadimov, J. T. Stockburger +1 more·Jan 5, 2026

Recent advances in quantum technologies and related experiments have created a need for highly accurate, versatile, and computationally efficient simulation techniques for the dynamics of open quantum systems. Long-lived correlation effects (non-Mark...

Quantum Physicscond-mat.stat-mech

Flux-noise-resilient transmon qubit via a doubly-connected gradiometric design

J. B. Fu, Da-Wei Wang, B. Ren +12 more·Jan 5, 2026

Frequency-tunable superconducting transmon qubits are a cornerstone of scalable quantum processors, yet their performance is often degraded by sensitivity to low-frequency flux noise. Here we present a doubly-connected gradiometric transmon (the ``8-...

Quantum Physics

Optimization of modulation transfer protocol for Rydberg RF receivers

Mickael Branco, K V Adwaith, Duc-Anh Trinh +4 more·Jan 5, 2026

We explore theoretically and experimentally the recently demonstrated modulation transfer protocol [D.-A. Trinh, K. V. Adwaith, M. Branco, A. Rouxel, S. Welinski, P. Berger, F. Goldfarb, and F. Bretenaker, Applied Physics Letters 125, 154001 (2024)] ...

Quantum PhysicsAtomic Physics
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