Quantum Brain

Papers

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

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27,881

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Research Volume

13,147 papers in 12 months (+1% vs prior quarter)

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Papers by research theme (12 months). Hover for details.

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

6,169 papers found

Quantum Gates via Dynamical Decoupling of Central Qubit on IBMQ and 15NV Center in Diamond

Lucas Tsunaki, Michael Dotan, Kseniia Volkova +1 more·Sep 26, 2025

We demonstrate a hardware-agnostic protocol for realizing fast, high-fidelity gates through dynamical decoupling (DD) pulse sequences applied to a central qubit coupled to target qubits. The target qubits are controlled by leveraging their intrinsic ...

Quantum Physicscond-mat.other

Introduction to modelling radical pair quantum spin dynamics with tensor networks

Kentaro Hino, Damyan S. Frantzov, Yuki Kurashige +1 more·Sep 26, 2025

Radical pairs (also known as spin qubit pairs, electron-hole pairs) are transient reaction intermediates that are found and utilised in all areas of science. Radical pair spin dynamics simulations including all nuclear spins have been a computational...

Quantum Physicscond-mat.stat-mechphysics.bio-phphysics.chem-ph

Quantum simulation approach to ultra-weak magnetic anisotropy in a frustrated spin-1/2 antiferromagnet

Ki Won Jeong, Jae Yeon Seo, Sunghyun Lim +6 more·Sep 26, 2025

The intrinsic equivalence between electron spin and qubit offers a natural foundation for quantum simulations of magnetic materials. However, incorporating magnetocrystalline anisotropy (MCA), a key feature of real magnets, remains a major challenge....

Quantum Physicscond-mat.str-el

The 2T-quoctit: a two-mode bosonic qudit for high energy physics

Doga Murat Kürkçüoglu, Henry Lamm, Oluwadara Ogunkoya +1 more·Sep 26, 2025

In this work, we study a two-mode bosonic encoding of a quoctit inside a non-Abelian group-structured constellation of coherent states. This work is motivated by the importance of nonabelian symmetry in particle physics and the desire to have transve...

Quantum Physicshep-lat

Propagation Dynamics and Transient Amplification in Warm and Cold Atomic EIT Systems

Andrew MacRae, Connor Kupchak·Sep 26, 2025

We study the limitations on observing transient amplification in atomic systems exhibiting electromagnetically induced transparency (EIT) and evaluate the limits of optical Bloch equation (OBE) models. Using propagation-based Maxwell-Bloch simulation...

Quantum Physics

Quantum lattice Boltzmann algorithm for heat transfer with phase change

Christopher L. Jawetz, Zhixin Song, Spencer H. Bryngelson +1 more·Sep 25, 2025

Heat transfer involving phase change is computationally intensive due to moving phase boundaries, nonlinear computations, and time step restrictions. This paper presents a quantum lattice Boltzmann method (QLBM) for simulating heat transfer with phas...

Quantum Physics

From VQE To SQD: Modern Quantum Algorithms For The Electronic Structure Problem

Abdelmouheymen Rabah Khamadja, Mohamed Taha Rouabah·Sep 25, 2025

This thesis investigates sampling-based quantum algorithms for electronic ground state energy estimation, focusing on Quantum-Selected Configuration Interaction (QSCI) and Sample-Based Quantum Diagonalization (SQD) as near-term alternatives to the Va...

Quantum Physics

Dynamic RIS-Assisted THz Quantum Networks: Joint Optimization of Entanglement Generation and Fidelity under Channel Impairments

Shakil Ahmed·Sep 25, 2025

Quantum networks (QNs) supported by terahertz (THz) wireless links present a transformative alternative to fiber-based infrastructures, particularly in mobile and infrastructure-scarce environments. However, signal attenuation, molecular absorption, ...

Quantum PhysicsEmerging Techcs.IT

Path-Controlled Secure Network Coding

Masahide Sasaki, Te Sun Han, Mikio Fujiwara +3 more·Sep 25, 2025

Multicast for securely sharing confidential data among many users is becoming increasingly important. Currently, it relies on duplicate-and-forward routing and cryptographic methods based on computational security. However, these approaches neither a...

cs.ITQuantum Physics

Quantum Simulation and Energy Estimation for Discretized Anharmonic oscillator

Saurav Suman, Bikash K. Behera, Vivek Vyas +1 more·Sep 25, 2025

Anharmonic potential quantum system play crucial role in physics as they provide a more realistic description of oscillatory phenomena, which often deviate from the idealized harmonic model. However, simulating such system on classical computers is h...

Quantum Physics

Quantum Algorithm for Subcellular Multiscale Reaction-Diffusion Systems

Margot Lockwood, Nathan Wiebe, Connah Johnson +5 more·Sep 25, 2025

Computational modeling of cellular systems, where reactants are governed by biochemical equations and physical representations, requires extensive classical computing resources. These limitations significantly constrain the system size and spatiotemp...

Quantum Physics

Bridging Quantum Computing and Nuclear Structure: Atomic Nuclei on a Trapped-Ion Quantum Computer

Sota Yoshida, Takeshi Sato, Takumi Ogata +1 more·Sep 25, 2025

We demonstrate quantum simulations of strongly correlated nuclear many-body systems on the RIKEN-Quantinuum Reimei trapped-ion quantum computer, targeting ground states of oxygen, calcium, and nickel isotopes. By combining a hard-core-boson represent...

nucl-thQuantum Physics

Quantum Simulation of Fermions in $AdS_2$ Black Hole: Chirality, Entanglement, and Spectral Crossovers

Kazuki Ikeda, Yaron Oz·Sep 25, 2025

We consider free Dirac fermions on a discretized $AdS_2$ black hole background, and analyze how curved space redshift, horizons, and the spin connection induced chiral gravitational effect shape spectral, transport, and scrambling phenomena. The syst...

Quantum Physicscond-mat.str-elgr-qchep-lat

Excited-CAFQA: A classical simulation bootstrap for the variational estimation of molecular excited states

Bikrant Bhattacharyya, Gokul Ravi·Sep 24, 2025

Variational Quantum Algorithms (VQAs) are iterative algorithms suited to implementation on current-era quantum devices. VQAs employ classical optimization to minimize cost functions evaluated on quantum circuits. However, the extent to which VQAs man...

Quantum Physics

(2+1)D Quantum Electrodynamics at Finite Density on a Quantum Computer

Emil Otis Rosanowski, Arianna Crippa, Lena Funcke +3 more·Sep 24, 2025

In this paper, we explore (2+1)D quantum electrodynamics (QED) at finite density on a quantum computer, including two fermion flavors. Our method employs an efficient gauge-invariant ansatz together with a quantum circuit structure that enforces Gaus...

hep-latcond-mat.otherQuantum Physics

Superfluid-Mott transition in a frustrated triangular optical lattice

Mehedi Hasan, Luca Donini, Sompob Shanokprasith +7 more·Sep 24, 2025

Geometric frustration can significantly increase the complexity and richness of many-body physics and, for instance, suppress antiferromagnetic order in quantum magnets. Here, we employ ultracold bosonic $^{39}$K atoms in a triangular optical lattice...

cond-mat.quant-gascond-mat.stat-mechcond-mat.str-elQuantum Physics

Quantum speed limits based on Jensen-Shannon and Jeffreys divergences for general physical processes

Jucelino Ferreira de Sousa, Diego Paiva Pires·Sep 24, 2025

We discuss quantum speed limits (QSLs) for finite-dimensional quantum systems undergoing general physical processes. These QSLs were obtained using two families of entropic measures, namely the square root of the Jensen-Shannon divergence, which in t...

Quantum Physics

AI-enhanced Quantum Simulation of Schwinger Model

Ao-Ning Wang, Min-Quan He, Z. D. Wang·Sep 24, 2025

The Schwinger Model from Quantum Electrodynamics (QED) has long served as a valuable simplified model for exploring key physical phenomena in Quantum Chromodynamics (QCD)-a field rich with fundamental insights but is substantially more complex. While...

Quantum Physics

You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Models

Chen-Yu Liu, Leonardo Placidi, Kuan-Cheng Chen +2 more·Sep 24, 2025

Quantum machine learning (QML) models conventionally rely on repeated measurements (shots) of observables to obtain reliable predictions. This dependence on large shot budgets leads to high inference cost and time overhead, which is particularly prob...

cs.LGQuantum Physics

Dynamically Optimal Unraveling Schemes for Simulating Lindblad Equations

Yu Cao, Mingfeng He, Xiantao Li·Sep 24, 2025

Stochastic unraveling schemes are powerful computational tools for simulating Lindblad equations, offering significant reductions in memory requirements. However, this advantage is accompanied by increased stochastic uncertainty, and the question of ...

Quantum Physicsmath.NA
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