Quantum Brain

Papers

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

Total Papers

30,856

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902

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0

Research Volume

15,145 papers in 12 months (-14% vs prior quarter)

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

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Hardware platform mentions in abstractsPhotonic leads

30,856 papers found

51% Attack via Difficulty Increase with a Small Quantum Miner

Bolton Bailey, Or Sattath·Mar 12, 2024

We present a strategy for a single quantum miner with relatively low hashing power, with the same ramifications as a 51% attack. Bitcoin nodes consider the chain with the highest cumulative proof-of-work to be the valid chain. A quantum miner can man...

PhysicsComputer Science

Multimode-cavity picture of non-Markovian waveguide QED

Dario Cilluffo, Luca Ferialdi, G. Massimo Palma +2 more·Mar 11, 2024

We introduce a picture to describe and intrepret waveguide-QED problems in the non-Markovian regime of long photonic retardation times resulting in delayed coherent feedback. The framework is based on an intuitive spatial decomposition of the wavegui...

Quantum PhysicsMesoscale Physics

Gravitational back-reaction is magical

ChunJun Cao, Gong Cheng, Alioscia Hamma +3 more·Mar 11, 2024

We study the interplay between magic and entanglement in quantum many-body systems. We show that non-local magic, which is supported by the quantum correlations is lower bounded by the non-flatness of entanglement spectrum and upper bounded by the am...

hep-thgr-qcQuantum Physics

Solving Distributed Flexible Job Shop Scheduling Problems in the Wool Textile Industry with Quantum Annealing

Lilia Toma, Markus Zajac, Uta Störl·Mar 11, 2024

Many modern manufacturing companies have evolved from a single production facility to a multi-factory production environment that must manage both regionally dispersed production orders and their multi-site production steps. The availability of a ran...

Quantum PhysicsEmerging Tech

Application of Quantum Tensor Networks for Protein Classification

Debarshi Kundu, Archisman Ghosh, Srinivasan Ekambaram +3 more·Mar 11, 2024

Computational methods in drug discovery significantly reduce both time and experimental costs. Nonetheless, certain computational tasks in drug discovery can be daunting with classical computing techniques which can be potentially overcome using quan...

Computer ScienceBiologyPhysics

Suppressing Correlated Noise in Quantum Computers via Context-Aware Compiling

A. Seif, Haoran Liao, Vinay Tripathi +5 more·Mar 11, 2024

Coherent errors, and especially those that occur in correlation among a set of qubits, are detrimental for large-scale quantum computing. Correlations in noise can occur as a result of spatial and temporal configurations of instructions executing on ...

Computer SciencePhysics

Multi-qubit DC gates over an inhomogeneous array of quantum dots

Jiaan Qi, Zhi-Hai Liu, Hongqi Xu·Mar 11, 2024

The prospect of large-scale quantum computation with an integrated chip of spin qubits is imminent as technology improves. This invites us to think beyond the traditional two-qubit-gate framework and consider a naturally supported ‘instruction set’ o...

Physics

Better than classical? The subtle art of benchmarking quantum machine learning models

Joseph Bowles, Shahnawaz Ahmed, M. Schuld·Mar 11, 2024

Benchmarking models via classical simulations is one of the main ways to judge ideas in quantum machine learning before noise-free hardware is available. However, the huge impact of the experimental design on the results, the small scales within reac...

Computer SciencePhysics

Experimental realization of universal quantum gates and a six-qubit entangled state using a photonic quantum walk

Kanad Sengupta, S. Dinesh, K. Shafi +2 more·Mar 11, 2024

For quantum computation using photons, performing deterministic quantum gate operations is a challenge due to the probabilistic nature of the photon-photon interaction. Encoding qubits in multiple degrees-of-freedom of photons and controlling operati...

Physics

Quantum double structure in cold atom superfluids

E. Johansen, C. Vale, T. Simula·Mar 11, 2024

The theory of topological quantum computation is underpinned by two important classes of models. One is based on non-abelian Chern-Simons theory, which yields the so-called $\rm{SU}(2)_k$ anyon models that often appear in the context of electrically ...

PhysicsMathematics

Low Overhead Qutrit Magic State Distillation

S. Prakash, Tanay Saha·Mar 10, 2024

<jats:p>We show that using qutrits rather than qubits leads to a substantial reduction in the overhead cost associated with an approach to fault-tolerant quantum computing known as magic state distillation. We construct a family of <mml:math xmlns:mm...

PhysicsComputer Science

Distributed quantum architecture search

Haozhen Situ, Zhimin He, Shenggen Zheng +1 more·Mar 10, 2024

Variational quantum algorithms, inspired by neural networks, have become a novel approach in quantum computing. However, designing efficient parameterized quantum circuits remains a challenge. Quantum architecture search tackles this by adjusting cir...

Physics

Error-Mitigated Quantum Random Access Memory

Wenbo Shi, Neel Kanth Kundu, Matthew R. McKay +1 more·Mar 10, 2024

As an alternative to quantum error correction, quantum error mitigation methods, including Zero-Noise Extrapolation (ZNE), have been proposed to alleviate run-time errors in current noisy quantum devices. In this work, we propose a modified version o...

Physics

Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations

Kuan-Cheng Chen, Xiaoren Li, Xiaotian Xu +2 more·Mar 9, 2024

Achieving high-performance computation on quantum systems presents a formidable challenge that necessitates bridging the capabilities between quantum hardware and classical computing resources. This study introduces an innovative distribution-aware Q...

Computer SciencePhysics

Low-Rank Variational Quantum Algorithm for the Dynamics of Open Quantum Systems

Sara Santos, Xinyu Song, Vincenzo Savona·Mar 9, 2024

The simulation of many-body open quantum systems is key to solving numerous outstanding problems in physics, chemistry, material science, and in the development of quantum technologies. Near-term quantum computers may bring considerable advantage for...

PhysicsComputer Science

Q-CHOP: Quantum constrained Hamiltonian optimization

Michael A. Perlin, Ruslan Shaydulin, Benjamin P. Hall +7 more·Mar 8, 2024

Combinatorial optimization problems that arise in science and industry typically have constraints. Yet the presence of constraints makes them challenging to tackle using both classical and quantum optimization algorithms. We propose a new quantum alg...

Quantum PhysicsEmerging Tech

Generic ETH: Eigenstate Thermalization beyond the Microcanonical

Elena Cáceres, Stefan Eccles, Jason Pollack +1 more·Mar 8, 2024

The Eigenstate Thermalization Hypothesis (ETH) has played a key role in recent advances in the high energy and condensed matter communities. It explains how an isolated quantum system in a far-from-equilibrium initial state can evolve to a state that...

Quantum Physicscond-mat.stat-mechhep-th

Systematic analysis of relative phase extraction in one-dimensional Bose gases interferometry

T. Murtadho, M. Gluza, K. Arifa +3 more·Mar 8, 2024

Interference upon free expansion gives access to the relative phase between two interfering matter waves. Such measurements can be used to reconstruct the spatially-resolved relative phase, which is a key observable in many quantum simulations of qua...

Physics

Noise Robustness of Quantum Relaxation for Combinatorial Optimization

Kentaro Tamura, Yohichi Suzuki, Rudy Raymond +5 more·Mar 8, 2024

Relaxation is a common way for dealing with combinatorial optimization problems. Quantum random-access optimization (QRAO) is a quantum-relaxation-based optimizer that uses fewer qubits than the number of bits in the original problem by encoding mult...

Physics

Jet Discrimination with Quantum Complete Graph Neural Network

Yi-An Chen, Kai-Feng Chen·Mar 8, 2024

Machine learning, particularly deep neural networks, has been widely used in high-energy physics, demonstrating remarkable results in various applications. Furthermore, the extension of machine learning to quantum computers has given rise to the emer...

PhysicsComputer Science
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