Nonabelian anyon condensation in 2+1d topological orders: A string-net model realization by Yu Zhao, Yidun Wan

Get full text

Jahn-Teller effect for controlling quantum correlations in hexanuclear Fe $$^{3+}$$ magnets by Hamid Arian Zad, Michal Jaščur, Asad Ali, Saif Al-Kuwari, Saeed Haddadi

Get full text

Implementation and Performance Evaluation of Quantum Machine Learning Algorithms for Binary Classification by Surajudeen Shina Ajibosin, Deniz Cetinkaya

“…QML merges principles of Quantum Computing (QC) and ML, offering improved efficiency and potential quantum advantage in data-driven tasks and when solving complex problems. …”
Get full text

Quantum contingency analysis for power system steady-state security identification by Fei Feng, Yifan Zhou, Mikhail A. Bragin, Yacov A. Shamash, Peng Zhang

“…Our research underscores that quantum computing exhibits exponential scalability in identifying power grid outages and critical components.…”
Get full text

Asynchronous Quantum-Resistant Blockchain for Secure Intelligence Sharing by Yun-Yi Fan, Chit-Jie Chew, Jung-San Lee

“…However, with the advent of large-scale quantum computing, traditional cryptographic mechanisms used in blockchain systems face potential vulnerabilities due to Shor’s algorithm, which threatens widely adopted public key cryptographic schemes. …”
Get full text

Color code decoder with improved scaling for correcting circuit-level noise by Seok-Hyung Lee, Andrew Li, Stephen D. Bartlett

“…Two-dimensional color codes are a promising candidate for fault-tolerant quantum computing, as they have high encoding rates, transversal implementation of logical Clifford gates, and resource-efficient magic state preparation schemes. …”
Get full text

Research on Financial Stock Market Prediction Based on the Hidden Quantum Markov Model by Xingyao Song, Wenyu Chen, Junyi Lu

“…Second, a hybrid quantum computing model is developed to forecast stock market trends. …”
Get full text

Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions by Gundala Pallavi, Rangarajan Prasanna Kumar

“…Quantum Natural Language Processing (QNLP) is a relatively new subfield of research that extends the application of principles of natural language processing and quantum computing that has enabled the processing of complex biological information to unprecedented levels. …”
Get full text

Quantum Hardware Devices (QHDs): Opportunities and Challenges by Aziz Oukaira

“…In addition, the development of high-fidelity quantum processors is essential for building robust Quantum Computing Systems (QCS) capable of solving problems beyond the reach of classical computation. …”
Get full text

New design of three-qubit system with three transmons and a single fixed-frequency resonator coupler by Jeongsoo Kang, Chanpyo Kim, Younghun Kim, Younghun Kwon

“…Abstract The transmon, which has a short gate time and remarkable scalability, is the most commonly utilized superconducting qubit, based on the Cooper pair box as a qubit or coupler in superconducting quantum computers. Lattice and heavy-hexagon structures are well-known large-scale configurations for transmon-based quantum computers that classical computers cannot simulate. …”
Get full text

Hybrid Cat-Transmon Architecture for Scalable, Hardware-Efficient Quantum Error Correction by Connor T. Hann, Kyungjoo Noh, Harald Putterman, Matthew H. Matheny, Joseph K. Iverson, Michael T. Fang, Christopher Chamberland, Oskar Painter, Fernando G.S.L. Brandão

“…Dissipative cat qubits are a promising physical platform for quantum computing, since their large noise bias can enable more hardware-efficient quantum error correction. …”
Get full text

Information theoretical approach to detecting quantum gravitational corrections by Behnam Pourhassan, Xiaoping Shi, Salman Sajad Wani, Saif-Al-Khawari, Farideh Kazemian, İzzet Sakallı, Naveed Ahmad Shah, Mir Faizal

Get full text

Enhancing Text Classification Through Quantum Transfer Learning: A Hybrid Quantum-Classical Approach With Complex Kernel Self-Attention Networks by Xiaoxiao Chen, Xiaoping Lou

“…Quantum computing, with its unique principles such as superposition and entanglement, promises to transform various domains, including artificial intelligence. …”
Get full text

Financial fraud detection using a hybrid deep belief network and quantum optimization approach by Gui Yu, Zhenlin Luo

“…The proposed integrated approach in this paper combines deep learning with quantum computing to overcome these limitations. The hybrid model utilises the parallel processing power of quantum computing to improve the training efficiency of DBNs, while CNNs, LSTMs and GNNs extract features from multiple dimensions of financial market data. …”
Get full text

Quantum photonics on a chip by A. Katiyi, A. Karabchevsky

“…These chips are crucial for advancing quantum computing, secure communication, and precision sensing by integrating photonic components such as waveguides, beam splitters, and detectors to manipulate single photons, the fundamental carriers of quantum information. …”
Get full text

Spectroscopy and Modeling of ^{171}Yb Rydberg States for High-Fidelity Two-Qubit Gates by Michael Peper, Yiyi Li, Daniel Y. Knapp, Mila Bileska, Shuo Ma, Genyue Liu, Pai Peng, Bichen Zhang, Sebastian P. Horvath, Alex P. Burgers, Jeff D. Thompson

“…Highly excited Rydberg states and their interactions play an important role in quantum computing and simulation. These properties can be predicted accurately for alkali atoms with simple Rydberg level structures. …”
Get full text

A Review of Block Ciphers and Its Post-Quantum Considerations by R. V. Chethana, Jayavrinda Vrindavanam, Subarna Roy, P. C. Deshmukh

“…Recent advances in cryptography aim to address threats posed by quantum computers. However, these advances have focused disproportionately on asymmetric schemes, while symmetric primitives like block ciphers have received less attention. …”
Get full text

Observing black hole phase transitions in extended phase space and holographic thermodynamics approaches from optical features by Chatchai Promsiri, Weerawit Horinouchi, Ekapong Hirunsirisawat

Get full text

Generation of non-Gaussian states of light using deterministic photon subtraction by Abdolreza Pasharavesh, Michal Bajcsy

Get full text

QKDTI A quantum kernel based machine learning model for drug target interaction prediction by Gundala Pallavi, Ali Altalbe, R. Prasanna Kumar

“…This indicates that introducing quantum computing into DTI pipeline can revolutionize computational drug discovery by improving predictive accuracy and providing a better generalization over multiple datasets.…”
Get full text