Quantum Brain

Papers

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

Total Papers

28,250

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22

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Research Volume

13,406 papers in 12 months (-22% vs prior quarter)

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

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5,284 papers found

Tapestry of dualities in decohered quantum error correction codes

Kaixiang Su, Zhou Yang, Chao-Ming Jian·Jan 30, 2024

Quantum error correction (QEC) codes protect quantum information from errors due to decoherence. Many of them also serve as prototypical models for exotic topological quantum matters. Investigating the behavior of the QEC codes under decoherence shed...

Physics

Quantum Circuit Reconstruction from Power Side-Channel Attacks on Quantum Computer Controllers

Ferhat Erata, Chuan Xu, R. Piskac +1 more·Jan 29, 2024

The interest in quantum computing has grown rapidly in recent years, and with it grows the importance of securing quantum circuits. A novel type of threat to quantum circuits that dedicated attackers could launch are power trace attacks. To address t...

Computer Science

Student understanding of the Bloch sphere

Peter Hu, Yangqiuting Li, Roger S. K. Mong +1 more·Jan 29, 2024

Quantum information science is a rapidly growing interdisciplinary field that is attracting the attention of academics and industry experts alike. It requires talent from a wide variety of traditional fields, including physics, engineering, chemistry...

Physics

Quantum-safe Encryption: A New Method to Reduce Complexity and/or Improve Security Level

A. Khandani·Jan 29, 2024

This work presents some novel techniques to enhance an encryption scheme motivated by classical McEliece cryptosystem. Contributions include: (1) using masking matrices to hide sensitive data, (2) allowing both legitimate parties to incorporate rando...

Computer ScienceMathematics

A Thorough Study of State Leakage Mitigation in Quantum Computing with One-Time Pad

Chuan Xu, Jamie Sikora, Jakub Szefer·Jan 28, 2024

The ability for users to access quantum computers through the cloud has increased rapidly in recent years. Despite still being Noisy Intermediate-Scale Quantum (NISQ) machines, modern quantum computers are now being actively employed for research and...

Computer SciencePhysics

Carry Your Fault: A Fault Propagation Attack on Side-Channel Protected LWE-based KEM

Suparna Kundu, Siddhartha Chowdhury, Sayandeep Saha +3 more·Jan 25, 2024

Post-quantum cryptographic (PQC) algorithms, especially those based on the learning with errors (LWE) problem, have been subjected to several physical attacks in the recent past. Although the attacks broadly belong to two classes – passive side-chann...

Computer Science

Federated learning with distributed fixed design quantum chips and quantum channels

A. Daskin·Jan 24, 2024

The privacy in classical federated learning can be breached through the use of local gradient results combined with engineered queries to the clients. However, quantum communication channels are considered more secure because a measurement on the cha...

Computer SciencePhysics

A Quantum-Inspired Bilevel Optimization Algorithm for the First Responder Network Design Problem

Anthony Karahalios, Sridhar Tayur, Ananth Tenneti +3 more·Jan 23, 2024

In the aftermath of a sudden catastrophe, first responders (FRs) strive to reach and rescue immobile victims. Simultaneously, civilians use the same roads to evacuate, access medical facilities and shelters, or reunite with their relatives via privat...

Computer ScienceMathematicsPhysics

Time-Efficient Quantum Entropy Estimator via Samplizer

Qisheng Wang, Zhicheng Zhang·Jan 18, 2024

Entropy is a measure of the randomness of a system. Estimating the entropy of a quantum state is a basic problem in quantum information. In this paper, we introduce a time-efficient quantum approach to estimating the von Neumann entropy $S(ρ)$ and Ré...

Quantum Physics

A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms

Jeffrey M. Larson, M. Menickelly, Jiahao Shi·Jan 18, 2024

A key component of variational quantum algorithms (VQAs) is the choice of classical optimizer employed to update the parameterization of an ansatz. It is well recognized that quantum algorithms will, for the foreseeable future, necessarily be run on ...

PhysicsMathematicsComputer Science

A dual-species Rydberg array

Shraddha Anand, Conor E. Bradley, Ryan White +3 more·Jan 18, 2024

Large-scale Rydberg atom arrays are used for highly coherent analogue quantum simulations and for digital quantum computations. However, advanced quantum protocols, such as quantum error correction, require midcircuit qubit operations, including the ...

Physics

Quantum interface for telecom frequency conversion based on diamond-type atomic ensembles

Po-Han Tseng, Linghui Chen, Jiun-Shiuan Shiu +1 more·Jan 18, 2024

In a fiber-based quantum network, utilizing the telecom band is crucial for long-distance quantum information (QI) transmission between quantum nodes. However, the near-infrared wavelength is identified as optimal for processing and storing QI throug...

Physics

Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms

Yunsoo Ha, Sara Shashaani, M. Menickelly·Jan 17, 2024

The quantum approximate optimization algorithm (QAOA) has enjoyed increasing attention in noisy, intermediate-scale quantum computing with its application to combinatorial optimization problems. QAOA has the potential to demonstrate a quantum advanta...

Computer ScienceMathematics

On Quantum Natural Policy Gradients

A. Sequeira, Luís Paulo Santos, L. Barbosa·Jan 16, 2024

This article delves into the role of the quantum Fisher information matrix (FIM) in enhancing the performance of parameterized quantum circuit (PQC)-based reinforcement learning agents. While previous studies have highlighted the effectiveness of PQC...

PhysicsComputer Science

Effective detection of quantum discord by using convolutional neural networks

Narjes Taghadomi, A. Mani, Ali Fahim +2 more·Jan 15, 2024

Quantum discord represents a type of correlation defined as the difference between quantum and classical mutual information of two parties. Due to the optimization involved in the definition of classical mutual information of quantum systems, calcula...

Computer SciencePhysics

Quadratic Speed-up in Infinite Variance Quantum Monte Carlo

Jose H. Blanchet, Mario Szegedy, Guanyang Wang·Jan 15, 2024

In this study, we give an extension of Montanaro's arXiv/archive:1504.06987 quantum Monte Carlo method, tailored for computing expected values of random variables that exhibit infinite variance. This addresses a challenge in analyzing heavy-tailed di...

Physics

Quantum information processing with superconducting circuits: realizing and characterizing quantum gates and algorithms in open quantum systems

H. Sakhouf·Jan 14, 2024

This thesis focuses on quantum information processing using the superconducting device, especially, on realizing quantum gates and algorithms in open quantum systems. Such a device is constructed by transmon-type superconducting qubits coupled to a s...

Physics

Generative AI-enabled Quantum Computing Networks and Intelligent Resource Allocation

Minrui Xu, D. Niyato, Jiawen Kang +5 more·Jan 13, 2024

Quantum computing networks enable scalable collaboration and secure information exchange among multiple classical and quantum computing nodes while executing large-scale generative AI computation tasks and advanced quantum algorithms. Quantum computi...

Computer ScienceEngineeringPhysics

Optimized Noise Suppression for Quantum Circuits

Friedrich Wagner, Daniel J. Egger, F. Liers·Jan 12, 2024

Quantum computation promises to advance a wide range of computational tasks. However, current quantum hardware suffers from noise and is too small for error correction. Thus, accurately utilizing noisy quantum computers strongly relies on noise chara...

Computer ScienceMathematicsPhysics

Advantage of Quantum Neural Networks as Quantum Information Decoders

Weishun Zhong, O. Shtanko, R. Movassagh·Jan 11, 2024

A promising strategy to protect quantum information from noise-induced errors is to encode it into the low-energy states of a topological quantum memory device. However, readout errors from such memory under realistic settings is less understood. We ...

Computer SciencePhysics
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