Quantum Brain

Papers

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

Total Papers

33,772

This Month

57

Today

0

Research Volume

16,712 papers in 12 months (-57% vs prior quarter)

Research Focus Areas

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

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

33,772 papers found

Projection Operator Stochastic Equations for Non-Markovian Quantum Systems Under Continuous Measurement-Based Feedback

H. I. Nurdin·Jun 30, 2026

Quantum Markov models have been successfully used to accurately model various physical quantum systems in fields such as quantum optics, optomechanics and superconducting circuits and they provide the basis for (measurement-based) quantum feedback co...

Quantum Physicseess.SYMathematical Physicsmath.OC

Full-Wave Green's-Function Modeling of Collective Single-Photon Emission in Non-Markovian Open-System QED with Finite-Bandwidth Compensation of Dispersive Interactions

Hyunwoo Choi, Jisang Seo, Junwoo Gim +3 more·Jun 30, 2026

This work presents a full-wave Green's function framework for modeling collective and coherent single-photon emission from multiple quantum emitters embedded in complex electromagnetic structures. Starting from a transverse modal completeness relatio...

Quantum Physicsphysics.comp-ph

Ferroelectric transmon

M. Donaire, A. Cano·Jun 30, 2026

Superconducting qubits are a leading platform for quantum computing. However, simultaneously achieving low noise sensitivity to suppress decoherence and sufficient anharmonicity to enable fast gate operations remains a central challenge. Here, we int...

Quantum Physics

Non-Hermitian Rayleigh-Schrödinger-like Perturbation Theory at Exceptional Point

Wei-Ming Chen, Chia-Yi Ju·Jun 30, 2026

We develop a Rayleigh--Schrödinger-like perturbation theory for non-Hermitian quantum systems at an exceptional point of order $N$. Working in the Jordan basis of the unperturbed Hamiltonian and employing a Puiseux expansion of the perturbed eigenval...

Quantum Physics

Absorption capacity of separable noise: Bell-mixing thresholds on entanglement and teleportation

Xuan Du Trinh·Jun 30, 2026

We study Bell-mixing lines $ρ_λ=λΦ^+ +(1-λ)σ$, where $Φ^+$ is a fixed Bell reference and $σ$ is a separable two-qubit noise state. Along this line there are two operational crossings: the state becomes entangled, and it reaches quantum teleportation ...

Quantum Physics

Mapping photon-number regimes in single-emitter lasers

Alexandra Gospodinov, Celia Powers, Imran M. Mirza·Jun 30, 2026

Cavity quantum electrodynamics (cQED) architectures are known to produce traditional laser signatures from a coherently driven single quantum emitter. In this paper, we present a numerical analysis of an open quantum system consisting of an incoheren...

Quantum Physics

Unresolved-Sideband Optomechanics with Hexagonal Boron Nitride: Induced Transparency, Gain, and Frequency Combs

Francesco Fogliano, Thibaud Ruelle, David Jaeger +1 more·Jun 30, 2026

Optomechanically induced transparency (OMIT) is usually modeled and studied in the resolved-sideband regime, but many compact microcavity platforms operate in the unresolved-sideband limit $(κ\gg Ω_m)$. Here we investigate OMIT in this regime using a...

physics.opticsMesoscale PhysicsQuantum Physics

Cumulant-based quantum relative Rényi functional

Atirat Meunson, Tanapat Deesuwan·Jun 30, 2026

We introduce a new cumulant-based quantum relative Rényi functional as a candidate quantum Rényi divergence, derived from the cumulant-generating function (CGF) of the quantum relative surprisal operator and extending the classical connection between...

Quantum PhysicsMathematical Physics

Pauli Weight Hamiltonian Term Selection for Optimized Machine Learning Based Quantum Error Mitigation

Fadhil Fatih Shiddiq, Darell Timothy Tarigan, Hadyan Luthfan Prihadi +4 more·Jun 30, 2026

Machine learning provides a scalable solution for quantum error mitigation. However, the selection of appropriate Pauli strings for inclusion in training data remains a challenge. Current methods rely on heuristic or uniform random sampling, requirin...

Quantum Physicsphysics.chem-ph

Atom diffraction in the strong-coupling regime

Carina Kanitz, Jakob Bühler, François Aguillon +6 more·Jun 30, 2026

Analytic methods based on matter-wave diffraction are a cornerstone in condensed-matter research, providing access to static and dynamic materials properties down to the atomic level. In these experiments, the shape of the diffraction pattern is larg...

Quantum Physicscond-mat.mtrl-sci

Cross-Domain Feature Expansion for Tabular Medical Data via Knowledge Graphs Injection

Mengying Zhou, Yongjie Yin, Haoyan Xin +2 more·Jun 30, 2026

Acquiring comprehensive cross-domain biomedical profiles is often costly and time-consuming, resulting in severe data scarcity in medical research. To address this challenge, we propose MedKGTab, a knowledge-injected framework specifically engineered...

AIEmerging Tech

Entanglement Structure Across $\mathbb{Z}_n$ Phase Transitions in 1D Rydberg Atom Arrays

Hyeonjun Yeo, Kabgyun Jeong, Hyunchul Nha·Jun 30, 2026

Multipartite quantum entanglement plays a crucial role in the emergence of different quantum phases and their transitions in quantum many-body systems. It is of general interest to know what sort of analysis on quantum entanglement can bring us a pro...

Quantum Physics

Topological phase transition in chaotic optomechanical systems

Xiao-Jun Zhang·Jun 30, 2026

Hidden structures with well-defined predictability are uncovered in the evolution of a chaotic optomechanical system from the perspective of the $ε$-machine. Tuning the frequency of the driving laser can switch off this predictability, and such behav...

Quantum Physicsnlin.CD

Energetics of non-Gaussianity in single mode cavities

Sahil Sardar Jafar, Kian Hwee Lim, Kiarn T. Laverick +3 more·Jun 30, 2026

Non-Gaussian states play a central role in quantum technologies, making the ability to quantify non-Gaussianity essential. We introduce an energetic framework to characterize non-Gaussianity in single-mode bosonic states by decomposing the total ener...

Quantum Physics

Radical-Fragment Many-Body Expansion for Linear Alkane Quantum Chemistry

Daniel Sierra-Sosa, Jorge Saavedra, Santiago Solares +1 more·Jun 30, 2026

We introduce a radical-fragment many-body expansion at the two-body level (MBE2) for quantum chemistry of linear alkanes. Instead of heterolytic bond cleavage with hydrogen capping atoms and electrostatic embedding like in Fragment Molecular Orbital ...

physics.chem-phQuantum Physics

Floquet Quasienergy-Resolved Dissipation, Dynamics, and Spectroscopy in Ultrastrong Cavity-QED

Kamran Akbari, Franco Nori, Stephen Hughes·Jun 30, 2026

Strong periodic driving of cavity-quantum electrodynamics (QED) in the ultrastrong-coupling regime creates nonequilibrium states whose dissipation is governed by Floquet quasienergies rather than undriven dressed resonances. However, modeling such a ...

Quantum Physics

Nonclassicality of a delayed remote-controlled quantum computing model

Peicun Lin, Dongyang Wang, Yong Liu +1 more·Jun 30, 2026

Delegated quantum computing is likely to become the primary means for most people to access quantum computers in the future. However, these hardware inevitably operate beyond clients' control, raising concerns about potentially untrusted servers. A f...

Quantum Physics

Generalised Probabilistic Theories

Zujin Wen, Zihan Wang, Xiangjing Liu +1 more·Jun 30, 2026

We give an introduction to research associated with the generalised probabilistic theories framework, also known as the convex framework. States are real vectors representing lists of probabilities of measurement outcomes. Convex combinations of the ...

Quantum Physics

Quantum Derivative Pricing for SPDEs via BDSDE Representation

Xinmiao Li, Yanqiao Wang, Rundi Lu +2 more·Jun 30, 2026

We study quantum speedups of derivative pricing for stochastic partial differential equation (SPDE) models through their backward doubly stochastic differential equation (BDSDE) representations. We develop conditional and nested quantum-accelerated m...

Quantum Physicsmath.NA

Position: The Inevitable Transition to Machine Learning in Quantum Chemistry

Karen Sargsyan, Chao-Ping Hsu·Jun 30, 2026

Finding exact solutions to the quantum many-body problem is computationally intractable (QMA-hard). Traditional approximations for electrons in an atom or molecule -- density functional theory and wavefunction methods -- have been indispensable, but ...

physics.chem-phcs.LGQuantum Physics
Quantum Intelligence

Ask about quantum research, companies, or market developments.