Quantum Brain

Papers

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

Total Papers

28,582

This Month

299

Today

0

Research Volume

13,639 papers in 12 months (-16% vs prior quarter)

Research Focus Areas

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

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

28,582 papers found

Differential equation quantum solvers: engineering measurements to reduce cost

Annie E. Paine, Casper Gyurik, A. A. Gentile·Mar 28, 2025

Quantum computers have been proposed as a solution for efficiently solving non-linear differential equations (DEs), a fundamental task across diverse technological and scientific domains. However, a crucial milestone in this regard is to design proto...

PhysicsComputer Science

Circuit cutting with classical side information

C. Piveteau, Lukas Schmitt, David Sutter·Mar 28, 2025

Circuit cutting is a technique for simulating large quantum circuits by partitioning them into smaller subcircuits, which can be executed on smaller quantum devices. The results from these subcircuits are then combined in classical post-processing to...

Physics

Quantum approximate multi-objective optimization

Ayse Kotil, Elijah Pelofske, Stephanie Riedmüller +4 more·Mar 28, 2025

The goal of multi-objective optimization is to understand optimal trade-offs between competing objective functions by finding the Pareto front, that is, the set of all Pareto-optimal solutions, where no objective can be improved without degrading ano...

MedicinePhysicsComputer Science

Variational quantum-neural hybrid imaginary time evolution

H. Kuji, T. Nikuni, Yuta Shingu·Mar 28, 2025

Numerous methodologies have been proposed to implement imaginary time evolution (ITE) on quantum computers. Among these, variational ITE (VITE) methods for noisy intermediate-scale quantum (NISQ) computers have attracted much attention, which uses pa...

Physics

Cryogenic Magnomechanics for Thermometry Applications

Y. Huang, P. M. C Rourke, A. Peruzzi +4 more·Mar 27, 2025

Cavity magnomechanics combines strong coupling between magnons in a dielectric material and microwave cavity photons with long-lived mechanical resonances. Forming a triple resonance condition, this hybrid quantum system promises many advantages in q...

cond-mat.otherQuantum Physics

Theory-Independent Context Incompatibility: Quantification and Experimental Demonstration

Mariana Storrer, Patrick Lima, Ana C. S. Costa +2 more·Mar 27, 2025

The concept of compatibility originally emerged as a synonym for the commutativity of observables and later evolved into the notion of measurement compatibility. In any case, however, it has remained predominantly algebraic in nature, tied to the for...

Quantum Physics

Parameter estimation with one- and two-time measurements on the emission field of the boundary time crystal

Albert Cabot, Federico Carollo, Igor Lesanovsky·Mar 27, 2025

Many-body quantum systems can exhibit collective effects that enhance the sensitivity of parameter estimation protocols. An example is provided by resonantly driven two-level atoms subject to collective dissipation, which can display a transition bet...

Quantum Physics

Adiabatic quantum state preparation in integrable models

Maximilian Lutz, Lorenzo Piroli, Georgios Styliaris +1 more·Mar 27, 2025

We propose applying the adiabatic algorithm to prepare high-energy eigenstates of integrable models on a quantum computer. We first review the standard adiabatic algorithm to prepare ground states in each magnetization sector of the prototypical XXZ ...

Quantum Physicscond-mat.stat-mechcond-mat.str-el

A Contextual Approach to Technological Understanding and Its Assessment

Eline de Jong, Sebastian De Haro·Mar 27, 2025

Technological understanding is not a singular concept but varies depending on context. Building on De Jong and De Haro's (2025) notion of technological understanding as the ability to realise an aim through the use of a technological artefact, this p...

physics.hist-phQuantum Physics

Statistics of the Random Matrix Spectral Form Factor

Alex Altland, Francisco Divi, Tobias Micklitz +2 more·Mar 27, 2025

The spectral form factor of random matrix theory plays a key role in the description of disordered and chaotic quantum systems. While its moments are known to be approximately Gaussian, corrections subleading in the matrix dimension, $D$, have recent...

Quantum Physicscond-mat.dis-nnhep-th

Controlled measurement, Hermitian conjugation and normalization in matrix-manipulation algorithms

Edward B. Fel'dman, Alexander I. Zenchuk, Wentao Qi +1 more·Mar 27, 2025

In this paper, we solve three important problems that are revealed, in particular, in matrix-manipulation algorithms. The principal novelty is introducing the concept of controlled measurement that solves the problem of small access probability to th...

Quantum Physics

Hacking quantum computers with row hammer attack

Fernando Almaguer-Angeles, Pedro R. Dieguez, Akshata Shenoy +1 more·Mar 27, 2025

We demonstrate a hardware vulnerability in quantum computing systems by exploiting cross-talk effects on an available commercial quantum computer (IBM). Specifically, based on the cross-talk produced by certain quantum gates, we implement a row hamme...

Physics

Toolchain for faster iterations in quantum software development

Otso Kinanen, A. Muñoz-Moller, V. Stirbu +2 more·Mar 27, 2025

Quantum computing proposes a revolutionary paradigm that can radically transform numerous scientific and industrial application domains. To realize this promise, these new capabilities need software solutions that are able to effectively harness its ...

Computer SciencePhysics

Bosonic quantum error correction with microwave cavities for quantum repeaters

S. S. Chelluri, Sanchar Sharma, Frank Schmidt +2 more·Mar 27, 2025

Long-distance quantum communication necessitates the use of quantum repeaters, which typically include highly coherent quantum memories. We provide a theoretical analysis of the secret key rates for a quantum repeater system incorporating bosonic err...

Physics

Adaptive Variational Quantum Kolmogorov-Arnold Network

Hikaru Wakaura, Rahmat Mulyawan, A. B. Suksmono·Mar 27, 2025

Kolmogorov-Arnold Network (KAN) is a novel multi-layer neuromorphic network. Many groups worldwide have studied this network, including image processing, time series analysis, solving physical problems, and practical applications such as medical use....

Physics

Translation-Invariant Quantum Algorithms for Ordered Search are Optimal

Joseph Carolan, Andrew M. Childs, Matt Kovacs-Deak +1 more·Mar 27, 2025

Ordered search is the task of finding an item in an ordered list using comparison queries. The best exact classical algorithm for this fundamental problem uses ⌈log 2n⌉ queries for a list of length n. Quantum computers can achieve a constant-factor s...

Physics

Efficiency enhancement up to unity in a generalized quantum Otto engine: Comparative analysis with conventional quantum Otto engine utilizing a two-qubit Heisenberg XXZ chain.

Z. Ahmadi, B. Mojaveri·Mar 27, 2025

This study presents a comparative analysis of three quantum thermal engines utilizing a two-qubit Heisenberg XXZ chain as the working substance. A novel generalized quantum Otto cycle (GQOC) is introduced, featuring two distinct coupling configuratio...

MedicinePhysics

Information Theoretic One-Time Programs from Geometrically Local QNC0 Adversaries

Lev Stambler·Mar 27, 2025

We show how to construct simulation secure one-time memories, and thus one-time programs, without computational assumptions in the presence of constraints on quantum hardware. Specifically, we build one-time memories from random linear codes and quan...

PhysicsComputer ScienceMathematics

Generative Decoding for Quantum Error-correcting Codes

Han-Yu Cao, Feng Pan, Dongyang Feng +2 more·Mar 27, 2025

Efficient and accurate decoding of quantum error-correcting codes is essential for fault-tolerant quantum computation, however, it is challenging due to the degeneracy of errors, the complex code topology, and the large space for logical operators in...

Physics

Quantum Transformer for Molecular Learning: Multi-Configuration Ground-State Energy Prediction

Y. Kamata, Quoc-Hoan Tran, Yasuhiro Endo +1 more·Mar 27, 2025

The Transformer model, renowned for its powerful attention mechanism, has achieved state-of-the-art performance in various artificial intelligence tasks but faces challenges with quantum data. With a growing focus on leveraging quantum machine learni...

Computer SciencePhysics
Quantum Intelligence

Ask about quantum research, companies, or market developments.