Quantum Brain

Papers

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

Total Papers

28,250

This Month

22

Today

0

Research Volume

13,393 papers in 12 months (-22% vs prior quarter)

Research Focus Areas

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

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

28,250 papers found

Efficient Gaussian State Preparation in Quantum Circuits

Yichen Xie, Nadav Ben-Ami·Jul 27, 2025

Gaussian states hold a fundamental place in quantum mechanics, quantum information, and quantum computing. Many subfields, including quantum simulation of continuousvariable systems, quantum chemistry, and quantum machine learning, rely on the abilit...

Physics

Circuit simulation of readout process toward large-scale superconducting quantum circuits

T. Tanamoto, Hiroshi Fuketa, T. Ishikawa +1 more·Jul 27, 2025

The rapid scaling of superconducting quantum computers has highlighted the impact of device-level variability on overall circuit fidelity. In particular, fabrication-induced fluctuations in device parameters such as capacitance and Josephson critical...

Physics

Finite-Size Effects in Quantum Metrology at Strong Coupling: Microscopic vs Phenomenological Approaches

Ali Pedram, Özgür E. Müstecaplıoğlu·Jul 26, 2025

We study the ultimate precision limits of a spin chain, strongly coupled to a heat bath, for measuring a general parameter and report the results for specific cases of magnetometry and thermometry. Employing a full polaron transform, we derive the ef...

Quantum PhysicsMesoscale Physicscond-mat.stat-mech

Robust Variational Ground-State Solvers via Dissipative Quantum Feedback Models

Yunyan Lee, Ian R. Petersen, Daoyi Dong·Jul 26, 2025

We propose a variational framework for solving ground-state problems of open quantum systems governed by quantum stochastic differential equations (QSDEs). This formulation naturally accommodates bosonic operators, as commonly encountered in quantum ...

Quantum Physics

Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage

Maida Wang, Xiao Xue, Mingyang Gao +1 more·Jul 26, 2025

We introduce a quantum-informed machine learning (QIML) framework for modelling the long-term behaviour of high-dimensional chaotic systems. QIML combines a one-time, offline-trained quantum generative model with a classical autoregressive predictor ...

Quantum Physicscs.LG

An Efficient Alternating Minimization Algorithm for Computing Quantum Rate-Distortion Function

Lingyi Chen, Deheng Yuan, Wen-Ying Zhang +2 more·Jul 26, 2025

We consider the computation of the entanglement-assisted quantum rate-distortion function, which plays a central role in quantum information theory. We propose an efficient alternating minimization algorithm based on the Lagrangian analysis. Instead ...

Computer ScienceMathematicsPhysics

Quantum Internet Architecture: unlocking Quantum-Native Routing via Quantum Addressing

Marcello Caleffi, Angela Sara Cacciapuoti·Jul 25, 2025

The key objective of the Quantum Internet is the distribution and manipulation of entanglement to enable unprecedented applications. This requires a radical departure from classical Internet design principles, such as the end-to-end argument, due to ...

Quantum Physics

Photon catalysis for general multimode multi-photon quantum state preparation

Andrei Aralov, Émilie Gillet, Viet Nguyen +3 more·Jul 25, 2025

Multimode multiphoton states are at the center of many photonic quantum technologies, from photonic quantum computing to quantum sensing. In this work, we derive a procedure to generate exactly, and with a predictable number of steps, any such state ...

Quantum Physics

Probing Quantum States Over Spacetime Through Interferometry

Seok Hyung Lie, Hyukjoon Kwon·Jul 25, 2025

Establishing a notion of the quantum state that applies consistently across space and time could be a crucial step toward formulating a relativistic quantum theory. We give an operational meaning to multipartite quantum states over arbitrary regions ...

Quantum Physics

Resource-Efficient Hadamard Test Tailored Variational Framework for Nonlinear Dynamics on Quantum Computers

Eleftherios Mastorakis, Muhammad Umer, Milena Guevara-Bertsch +3 more·Jul 25, 2025

Resource-efficient, low-depth implementations of quantum circuits remain a promising strategy for achieving reliable and scalable computation on quantum hardware, as they reduce gate resources and limit the accumulation of noisy operations. Here, we ...

Quantum Physics

Scalable native multiqubit gates via engineered noncomputational-state interactions in superconducting fluxonium qubits

Peng Zhao, Peng Xu, Zheng-Yuan Xue·Jul 25, 2025

Native multiqubit gates could be essential for bridging the gap from current noisy devices to future utility-scale quantum computers, as they can substantially reduce circuit depth for near-term applications on noisy devices and may also lower the ph...

Quantum Physics

Quantum Reinforcement Learning by Adaptive Non-Local Observables

Hsin-Yi Lin, Samuel Yen-Chi Chen, H. Tseng +1 more·Jul 25, 2025

Hybrid quantum-classical frameworks leverage quantum computing for machine learning; however, variational quantum circuits (VQCs) are limited by local measurements. We introduce an adaptive non-local observable (ANO) paradigm within VQCs for quantum ...

Computer SciencePhysics

Directional Codes: a new family of quantum LDPC codes on hexagonal- and square-grid connectivity hardware

G. Geh'er, David Byfield, Archibald Ruban·Jul 25, 2025

Utility-scale quantum computing requires quantum error correction (QEC) to protect quantum information against noise. Currently, superconducting hardware is a promising candidate for achieving fault tolerance due to its fast gate times and feasible s...

Physics

Towards System-Level Quantum-Accelerator Integration

Ralf Ramsauer, Wolfgang Mauerer·Jul 25, 2025

Quantum computers are often treated as experimental add-ons that are loosely coupled to classical infrastructure through high-level interpreted languages and cloud-like orchestration. However, future deployments in both, high-performance computing (H...

PhysicsComputer Science

Autocallable Options Pricing with Integration-Based Exponential Amplitude Loading

Francesca Cibrario, Ron Cohen, Emanuele Dri +8 more·Jul 25, 2025

We present a comprehensive quantum algorithm tailored for pricing autocallable options, offering a full implementation and experimental validation. Our experiments include simulations conducted on high performance computing (HPC) hardware, along with...

PhysicsComputer ScienceEconomics

Pulse-based optimization of quantum many-body states with Rydberg atoms in optical tweezer arrays

Kazuma Nagao, S. Julia-Farr'e, J. Vovrosh +2 more·Jul 25, 2025

We explore a pulse-based variational quantum eigensolver (VQE) algorithm for Rydberg atoms in optical tweezer arrays and evaluate its performance on prototypical quantum spin models. We numerically demonstrate that the ground states of the one-dimens...

Physics

FD4QC: Application of Classical and Quantum-Hybrid Machine Learning for Financial Fraud Detection A Technical Report

Matteo Cardaioli, Luca Marangoni, Giada Martini +5 more·Jul 25, 2025

The increasing complexity and volume of financial transactions pose significant challenges to traditional fraud detection systems. This technical report investigates and compares the efficacy of classical, quantum, and quantum-hybrid machine learning...

Computer Science

Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection

A. Tudisco, Deborah Volpe, Giacomo Orlandi +1 more·Jul 25, 2025

The growing variety of quantum hardware technologies, each with unique peculiarities such as connectivity and native gate sets, creates challenges when selecting the best platform for executing a specific quantum circuit. This selection process usual...

PhysicsComputer Science

Shallow-depth GHZ state generation on NISQ devices

S. S. Chelluri, S. Schuster, Sumeet +1 more·Jul 25, 2025

In this work, we focus on GHZ state generation under the practical constraint of limited qubit connectivity, a hallmark of current NISQ hardware. We study the GHZ state preparation across different connectivity graphs inspired by IBM and Google chip ...

Physics

Random approximate quantum information masking

Xiaodi Li, Xinyang Shu, Huangjun Zhu·Jul 25, 2025

Masking information into quantum correlations is a cornerstone of many quantum information applications. While there exist the no-hiding and no-masking theorems, approximate quantum information masking (AQIM) offers a promising means of circumventing...

Physics
Quantum Intelligence

Ask about quantum research, companies, or market developments.