Quantum Brain

Papers

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

Total Papers

27,548

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1,041

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Research Volume

12,892 papers in 12 months (-5% vs prior quarter)

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

Qubit Platforms

Hardware platform mentions in abstractsPhotonic leads

2,459 papers found

Performance analysis of a filtering variational quantum algorithm

Gabriel Marin-Sanchez, D. Amaro·Apr 13, 2024

Even a minor boost in solving combinatorial optimization problems can greatly benefit multiple industries. Quantum computers, with their unique information processing capabilities, hold promise for delivering such enhancements. The filtering variatio...

Physics

An Unsupervised Machine Learning to Optimize Hybrid Quantum Noise Clusters for Gaussian Quantum Channel

Mouli Chakraborty, Anshu Mukherjee, Ioannis Krikidis +2 more·Apr 13, 2024

This work focuses on optimizing the hybrid quantum noise model to improve the capacity of Gaussian quantum channels using Machine Learning (ML) generated clusters. The work specifically leverages Gaussian Mixture Model (GMM) and the Expectation-Maxim...

Engineering

Quantum Generative Adversarial Networks in a Silicon Photonic Chip with Maximum Expressibility

Haoran Ma, Liao Ye, Xiaoqing Guo +5 more·Apr 9, 2024

Generative adversarial networks (GANs) have achieved remarkable success with realistic tasks such as creating realistic images, texts, and audio. Combining GANs and quantum computing, quantum GANs are thought to have an exponential advantage over the...

Physics

Digital quantum simulation of cavity quantum electrodynamics: insights from superconducting and trapped ion quantum testbeds

Alex H. Rubin, Brian Marinelli, Victoria A. Norman +15 more·Apr 5, 2024

We explore the potential for hybrid development of quantum hardware where currently available quantum computers simulate open cavity quantum electrodynamical (CQED) systems for applications in optical quantum communication, simulation and computing. ...

Physics

Critical properties of weak measurement induced phase transitions in random quantum circuits

Kemal Aziz, Ahana Chakraborty, J. H. Pixley·Apr 3, 2024

The effects of different forms of weak measurements on the nature of the measurement induced phase transition are theoretically studied in hybrid random quantum circuits of qubits. We use a combination of entanglement measures, ancilla purification d...

Physics

Exploring Quantum-Enhanced Machine Learning for Computer Vision: Applications and Insights on Noisy Intermediate-Scale Quantum Devices

Purnachandra Mandadapu·Apr 1, 2024

As medium-scale quantum computers progress, the application of quantum algorithms across diverse fields like simulating physical systems, chemistry, optimization, and cryptography becomes more prevalent. However, these quantum computers, known as Noi...

Computer SciencePhysics

Parallel Proportional Fusion of Spiking Quantum Neural Network for Optimizing Image Classification

Zuyu Xu, Kang Shen, Pengnian Cai +8 more·Apr 1, 2024

The recent emergence of the hybrid quantum-classical neural network (HQCNN) architecture has garnered considerable attention due to the potential advantages associated with integrating quantum principles to enhance various facets of machine learning ...

Computer SciencePhysics

Muon/pion identification at BESIII based on variational quantum classifier

Zhipeng Yao, Xingtao Huang, Teng Li +3 more·Apr 1, 2024

In collider physics experiments, particle identification (PID), i.e., the identification of the charged particle species in the detector is usually one of the most crucial tools in data analysis. In the past decade, machine learning techniques have g...

Physics

Feasibility of first principles molecular dynamics in fault-tolerant quantum computer by quantum phase estimation

I. Kikuchi, Akihito Kikuchi·Mar 31, 2024

This article shows a proof of concept regarding the feasibility of ab initio molecular simulation, wherein the wavefunctions and the positions of nuclei are simultaneously determined by the quantum algorithm, as is realized by the so-called Car-Parri...

Physics

Quantum-to-Classical Neural Network Transfer Learning Applied to Drug Toxicity Prediction.

Anthony M. Smaldone, Victor S. Batista·Mar 27, 2024

Toxicity is a roadblock that prevents an inordinate number of drugs from being used in potentially life-saving applications. Deep learning provides a promising solution to finding ideal drug candidates; however, the vastness of chemical space coupled...

PhysicsMedicine

Quantum Optimization for the Future Energy Grid: Summary and Quantum Utility Prospects

Jonas Blenninger, David Bucher, G. Cortiana +6 more·Mar 26, 2024

In this project summary paper, we summarize the key results and use-cases explored in the German Federal Ministry of Education and Research (BMBF) funded project"Q-GRID"which aims to assess potential quantum utility optimization applications in the e...

PhysicsMathematics

Boson sampling enhanced quantum chemistry

Zhong-Xia Shang, Han-Sen Zhong, Yukun Zhang +5 more·Mar 25, 2024

In this work, we give a hybrid quantum-classical algorithm for solving electronic structure problems of molecules using only linear quantum optical systems. The variational ansatz we proposed is a hybrid of non-interacting Boson dynamics and classica...

Physics

Utilizing small quantum computers for machine learning and ground state energy approximation

Stian D. Bilek·Mar 21, 2024

Quantum circuit partitioning (QCP) is a hybrid quantum-classical approach that aims to simulate large quantum systems on smaller quantum computers. A quantum computation is divided into smaller subsystems and results of measurements on these subsyste...

Physics

Tensor quantum programming

A. Termanova, Artem Melnikov, E. Mamenchikov +6 more·Mar 20, 2024

Running quantum algorithms often involves implementing complex quantum circuits with such a large number of multi-qubit gates that the challenge of tackling practical applications appears daunting. In this article, we propose a novel approach called ...

Physics

FPGA-Based Distributed Union-Find Decoder for Surface Codes

Namitha Liyanage, Yue Wu, Siona Tagare +1 more·Mar 20, 2024

A fault-tolerant quantum computer must decode and correct errors faster than they appear to prevent exponential slowdown due to error correction. The Union-Find (UF) decoder is promising with an average time complexity slightly higher than <inline-fo...

PhysicsComputer Science

Accelerated quantum search using partial oracles and Grover's algorithm

F. Bolton·Mar 19, 2024

Grover's algorithm, orginally conceived as a means of searching an unordered database, can also be used to extract solutions from the result sets generated by quantum computations. The Grover algorithm exploits the concept of an oracle function, whic...

Physics

Hamiltonian-reconstruction distance as a success metric for the variational quantum eigensolver

Leo Joon Il Moon, Mandar M. Sohoni, M. Shimizu +4 more·Mar 18, 2024

The variational quantum eigensolver (VQE) is a hybrid quantum–classical algorithm for quantum simulation that can be run on near-term quantum hardware. A challenge in VQE—as well as any other heuristic algorithm for finding ground states of Hamiltoni...

Physics

Graph algorithms with neutral atom quantum processors

Constantin Dalyac, L. Leclerc, Louis Vignoli +9 more·Mar 18, 2024

Neutral atom technology has steadily demonstrated significant theoretical and experimental advancements, positioning itself as a front-runner platform for running quantum algorithms. One unique advantage of this technology lies in the ability to reco...

Physics

Benefits of non-adiabatic quantum control in quantum computation through spin qubit systems

Nirupam Dutta·Mar 17, 2024

This is evident that the controllable quantum systems can be the reliable building blocks for Quantum computation. In reality we are witnessing the progress towards making the idea tractable enough, though optimistic but the threshold is not very nea...

Physics

Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series

Junggu Choi, Tak Hur, Daniel K. Park +4 more·Mar 16, 2024

Following the recent development of quantum machine learning techniques, the literature has reported several quantum machine learning algorithms for disease detection. This study explores the application of a hybrid quantum-classical algorithm for cl...

Computer ScienceBiology
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