Quantum Brain

Papers

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

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28,402

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150

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13,524 papers in 12 months (-19% vs prior quarter)

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Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

28,402 papers found

Quantifying imaginarity of quantum operations

Chuanfa Wu, Zhaoqi Wu·Jun 11, 2025

Complex numbers are theoretically proved and experimentally confirmed as necessary in quantum mechanics and quantum information, and a resource theory of imaginarity of quantum states has been established. In this work, we establish a framework to qu...

Quantum Physics

Real-time adaptive tracking of fluctuating relaxation rates in superconducting qubits

Fabrizio Berritta, Jacob Benestad, Jan A. Krzywda +17 more·Jun 11, 2025

The fidelity of operations on a solid-state quantum processor is fundamentally bounded by environmental decoherence. Characterizing environmental fluctuations is challenging because the acquisition time of nonadaptive experimental protocols limits te...

Quantum PhysicsMesoscale Physics

Covert Entanglement Generation over Bosonic Channels

Evan J. D. Anderson, Michael S. Bullock, Ohad Kimelfeld +4 more·Jun 11, 2025

We explore covert entanglement generation over the lossy thermal-noise bosonic channel, which is a quantum-mechanical model of many practical settings, including optical, microwave, and radio-frequency (RF) channels. Covert communication ensures that...

Quantum PhysicsCryptography

QuGrav: Bringing gravitational waves to light with Qumodes

Dmitri E. Kharzeev, Azadeh Maleknejad, Saba Shalamberidze·Jun 11, 2025

We propose using qumodes, quantum bosonic modes, for detecting high-frequency gravitational waves via the inverse Gertsenshtein effect, where a gravitational wave resonantly converts into a single photon in a magnetized cavity. For an occupation numb...

gr-qcastro-ph.IMhep-exhep-ph

Learning-Optimized Qubit Mapping and Reuse to Minimize Inter-Core Communication in Modular Quantum Architectures

Sokea Sang, Leanghok Hour, Youngsun Han·Jun 11, 2025

Modular quantum architectures have emerged as a promising approach for scaling quantum computing systems by connecting multiple Quantum Processing Units (QPUs). However, this approach introduces significant challenges due to costly inter-core operati...

Quantum Physics

Symmetric quantum states: a review of recent progress

Carlo Marconi, Guillem Müller-Rigat, Jordi Romero-Pallejà +2 more·Jun 11, 2025

Symmetric quantum states are fascinating objects. They correspond to multipartite systems that remain invariant under particle permutations. This symmetry is reflected in their compact mathematical characterisation but also in their unique physical p...

PhysicsMedicine

Guided graph compression for quantum graph neural networks

Mikel Casals, Vasilis Belis, E. Combarro +3 more·Jun 11, 2025

Graph neural networks (GNNs) are effective for processing graph-structured data but face challenges with large graphs due to high memory requirements and inefficient sparse matrix operations on GPUs. Quantum computing offers a promising avenue to add...

Computer SciencePhysics

Solving the Decision Principal Ideal Problem with Pre-processing

Jincheng Zhuang, Qi Cheng·Jun 11, 2025

The principal ideal problem constitutes a fundamental problem in algebraic number theory and has attracted significant attention due to its applications in ideal lattice based cryptosystems. Efficient quantum algorithm has been found to address this ...

Mathematics

Hybrid classical-quantum sampling for lattice scalar field theory

Hee-Cheol Kim, Jangho Kim·Jun 11, 2025

We investigate lattice scalar field theory in two-dimensional Euclidean space via a quantum annealer. To accommodate the quartic interaction terms, we introduce three schemes for rewriting them as quadratic polynomials through the use of auxiliary qu...

Physics

Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach

Atit Pokharel, Ratun Rahman, Thomas Morris +1 more·Jun 11, 2025

Quantum federated learning (QFL) has been recently introduced to enable a distributed privacy-preserving quantum machine learning (QML) model training across quantum processors (clients). Despite recent research efforts, existing QFL frameworks predo...

Computer Science

Repeated ancilla reuse for logical computation on a neutral atom quantum computer

J. A. Muniz, D. Crow, H. Kim +59 more·Jun 11, 2025

Quantum processors based on neutral atoms trapped in arrays of optical tweezers have appealing properties, including relatively easy qubit number scaling and the ability to engineer arbitrary gate connectivity with atom movement. However, these platf...

Physics

Dynamic Hypergraph Partitioning of Quantum Circuits with Hybrid Execution

Shane Sweeney, Krishnendu Guha·Jun 11, 2025

Quantum algorithms offer an exponential speedup over classical algorithms for a range of computational problems. The fundamental mechanisms underlying quantum computation required the development and construction of quantum computers. These devices a...

Computer SciencePhysics

Local surrogates for quantum machine learning

Sreeraj Rajindran Nair, Christopher Ferrie·Jun 11, 2025

Surrogates have been proposed as classical simulations of the pretrained quantum learning models, which are capable of mimicking the input-output relation inherent in the quantum model. Quantum hardware within this framework is used for training and ...

Physics

Out of Tune: Demystifying Noise-Effects on Quantum Fourier Models

Maja Franz, Melvin Strobl, Leonid Chaichenets +3 more·Jun 11, 2025

Variational quantum algorithms have received substantial theoretical and empirical attention. As the underlying variational quantum circuit (VQC) can be represented by Fourier series that contain an exponentially large spectrum in the number of input...

Physics

Constructive interference at the edge of quantum ergodic dynamics

D. Abanin, R. Acharya, Laleh Aghababaie-Beni +262 more·Jun 11, 2025

Quantum observables in the form of few-point correlators are the key to characterizing the dynamics of quantum many-body systems. In dynamics with fast entanglement generation, quantum observables generally become insensitive to the details of the un...

Physics

Compact and programmable large-scale optical processor in free space

Maria Gorizia Ammendola, Nazanin Dehghan, Lukas Scarfe +4 more·Jun 11, 2025

Photonic circuits are central to classical and quantum information processing. While integrated technologies dominate, free-space architectures are emerging as attractive alternatives, offering broad bandwidth and direct manipulation of optical modes...

MedicinePhysics

Effective criteria for entanglement witnesses in small dimensions

Łukasz Grzelka, Łukasz Skowronek, Karol Życzkowski·Jun 10, 2025

We present an effective set of necessary and sufficient criteria for block-positivity of matrices of order $4$ over $\mathbb{C}$. The approach is based on Sturm sequences and quartic polynomial positivity conditions presented in recent literature. Th...

Quantum PhysicsMathematical Physics

Optimizing Sparse SYK

Matthew Ding, Robbie King, Bobak T. Kiani +1 more·Jun 10, 2025

Finding the ground state of strongly-interacting fermionic systems is often the prerequisite for fully understanding both quantum chemistry and condensed matter systems. The Sachdev--Ye--Kitaev (SYK) model is a representative example of such a system...

Quantum PhysicsData Structures

Entanglement Suppression, Quantum Statistics and Symmetries in Spin-3/2 Baryon Scatterings

Tao-Ran Hu, Katsuyoshi Sone, Feng-Kun Guo +2 more·Jun 10, 2025

We explore the interplay among entanglement suppression, quantum statistics and enhanced symmetries in the non-relativistic $S$-wave scattering involving the lowest-lying spin-3/2 baryons, which can be considered as four-dimensional qudits. These bar...

hep-phhep-thnucl-thQuantum Physics

High-Performance Heterodyne Receiver for Quantum Information Processing in a Laser Written Integrated Photonic Platform

Andrea Peri, Giulio Gualandi, Tommaso Bertapelle +8 more·Jun 10, 2025

Continuous-Variable Quantum Key Distribution (CV-QKD) and Quantum Random Number Generation (CV-QRNG) are critical technologies for secure communication and high-speed randomness generation, exploiting shot-noise-limited coherent detection for their o...

Quantum Physics
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