Quantum Brain

Papers

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

Total Papers

27,548

This Month

1,041

Today

0

Research Volume

12,880 papers in 12 months (-5% vs prior quarter)

Research Focus Areas

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

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

4,695 papers found

Quantum simulation of many-body dynamics with noise-robust Trotter decomposition based on symmetric structures

Bo Yang, Naoki Negishi·May 7, 2025

The Suzuki-Trotter decomposition, which digitalizes quantum time evolution, provides a promising framework for simulating quantum dynamics on quantum hardware and exploring quantum advantage over classical computation. However, conventional Trotter c...

Quantum Physics

Approximate quadratization of high-order hamiltonians for combinatorial quantum optimization

Sabina Druagoi, Alberto Baiardi, Daniel J. Egger·May 7, 2025

Combinatorial optimization problems have wide-ranging applications in industry and academia. Quantum computers may help solve them by sampling from carefully prepared Ansatz quantum circuits. However, current quantum computers are limited by their qu...

Physics

Adaptive folding and noise filtering for robust quantum error mitigation

Kathrin F. Koenig, Finn Reinecke, Thomas Wellens·May 7, 2025

Coping with noise in quantum computation poses significant challenges due to its unpredictable nature and the complexities of accurate modeling. This paper presents noise-adaptive folding, a technique that enhances zero-noise extrapolation (ZNE) thro...

Physics

Correlating noise floor with magic and entanglement in Pauli product states

Erika Lloyd, Alexandre Fleury, Marc P. Coons +2 more·May 7, 2025

The dependence of quantum algorithms on state fidelity is difficult to characterize analytically and is best explored experimentally as hardware scales and noisy simulations become intractable. While low fidelity states are often disregarded, they ma...

Physics

Quantum information processing in modular cavity QED architectures

Z. M. McIntyre·May 7, 2025

This thesis contains a collection of articles exploring various aspects of quantum information processing with cavity quantum electrodynamics (QED), starting with qubit noise spectroscopy and building towards the longer-term goal of modular quantum-c...

Physics

On the non-Markovian quantum stochastic network dynamics

Haijin Ding, Guofeng Zhang·May 6, 2025

In this paper, we investigate non-Markovian quantum dynamics from the perspective of quantum noises in a network of atoms mediated by a waveguide. In such networks, quantum coherent feedback control becomes achievable when coherent fields (or quantum...

Quantum Physics

Quantum Feature Space of a Qubit Coupled to an Arbitrary Bath

Chris Wise, Akram Youssry, Alberto Peruzzo +2 more·May 6, 2025

Qubit control protocols have traditionally leveraged a characterisation of the qubit-bath coupling via its power spectral density. Previous work proposed the inference of noise operators that characterise the influence of a classical bath using a gre...

Quantum Physicscs.LG

Sequential decoding of the XYZ$^2$ hexagonal stabilizer code

Basudha Srivastava, Yinzi Xiao, A. F. Kockum +2 more·May 6, 2025

Quantum error correction requires accurate and efficient decoding to optimally suppress errors in the encoded information. For concatenated codes, where one code is embedded within another, optimal decoding can be achieved using a message-passing alg...

Physics

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks

Tasnim Ahmed, Alberto Marchisio, Muhammad Kashif +1 more·May 6, 2025

Hybrid Quantum Neural Networks (HQNNs) offer promising potential of quantum computing while retaining the flexibility of classical deep learning. However, the limitations of Noisy Intermediate-Scale Quantum (NISQ) devices introduce significant challe...

Computer SciencePhysics

Engineering protected cavity-QED interactions through pulsed dynamical decoupling

I. Arrazola, P. Bertet, Y. Chu +1 more·May 5, 2025

We study a generic cavity QED setup under conditions where the coupling between the two-level systems and a single bosonic mode is significantly degraded by low-frequency noise. To overcome this problem, we identify pulsed dynamical decoupling strate...

Quantum Physics

Fast initialization of Bell states with Schr\"odinger cats in multi-mode systems

Miriam Resch, C. Padurariu, B. Kubala +1 more·May 5, 2025

Schr\"odinger cat states play an important role for applications in continuous variable quantum information technologies. As macroscopic superpositions they are inherently protected against certain types of noise making cat qubits a promising candida...

Physics

Quantum-Assisted Vehicle Routing: Realizing QAOA-based Approach on Gate-Based Quantum Computer

Talha Azfar, Osama Muhammad Raisuddin, Ruimin Ke +1 more·May 2, 2025

The Vehicle Routing Problem (VRP) is a fundamental combinatorial optimization challenge with broad applications in logistics and transportation. In this work, we present a quantum-assisted framework that integrates the Quantum Approximate Optimizatio...

Quantum PhysicsEmerging Tech

Quantum Support Vector Regression for Robust Anomaly Detection

Kilian Tscharke, Maximilian Wendlinger, Sebastian Issel +1 more·May 2, 2025

Anomaly Detection (AD) is critical in data analysis, particularly within the domain of IT security. In this study, we explore the potential of Quantum Machine Learning for application to AD with special focus on the robustness to noise and adversaria...

Quantum PhysicsCryptographycs.LG

Improved Fermionic Scattering for the NISQ Era

Michael Hite·May 1, 2025

In the era of noisy intermediate scale quantum (NISQ) hardware, digital quantum computers are limited to shallow circuits on the order of a thousand layers due to system noise and qubit decoherence. Thus, every step of a simulation must be as efficie...

Quantum Physicshep-lat

Optomechanical resource for fault-tolerant quantum computing

Margaret Pavlovich, Peter T. Rakich, S. Puri·May 1, 2025

Fusion-based quantum computing with dual-rail qubits is a leading candidate for scalable quantum computing using linear optics. This paradigm requires single photons which are entangled into small resource states before being fed into a fusion networ...

Physics

A new approximate Eastin-Knill theorem

Rhea Alexander·May 1, 2025

Transversal encoded gatesets are highly desirable for fault tolerant quantum computing. However, a quantum error correcting code which exactly corrects for local erasure noise and supports a universal set of transversal gates is ruled out by the East...

Physics

A low-noise and high-stability DC source for superconducting quantum circuits

Daxiong 大雄 Sun 孙, J. ZHANG 张, Peisheng 培生 Huang 黄 +16 more·May 1, 2025

With the rapid scaling of superconducting quantum processors, electronic control systems relying on commercial off-the-shelf instruments face critical bottlenecks in signal density, power consumption, and crosstalk mitigation. Here we present a custo...

Physics

Scalable Quantum Computing with Optical Links

M. J. Weaver, G. Arnold, H. Weaver +2 more·May 1, 2025

Quantum computers have great potential to solve problems which are intractable on classical computers. However, quantum processors have not yet reached the required scale to run applications which outperform traditional computers. Leading hardware pl...

Physics

Classical capacities under physical constraints: More capacity with less entanglement

Sudipta Mondal, Pritam Halder, Saptarshi Roy +1 more·Apr 30, 2025

Current advancements in communication equipment demand the investigation of classical information transfer over quantum channels, by encompassing realistic scenarios in finite dimensions. To address this issue, we develop a framework for analyzing cl...

Quantum Physics

Capturing Quantum Snapshots from a Single Copy via Mid-Circuit Measurement and Dynamic Circuit

Debarshi Kundu, Avimita Chatterjee, Archisman Ghosh +1 more·Apr 30, 2025

We propose Quantum Snapshot with Dynamic Circuit (QSDC), a hardware-agnostic, learning-driven framework for capturing quantum snapshots: non-destructive estimates of quantum states at arbitrary points within a quantum circuit, which can then be class...

Physics
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