Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Classical post-processing approach for quantum amplitude estimation
Yongdan Yang, Ruyu Yang·Feb 8, 2025
We propose an approach for quantum amplitude estimation (QAE) designed to enhance computational efficiency while minimizing the reliance on quantum resources. Our method leverages quantum computers to generate a sequence of signals, from which the qu...
Exceptional-Point-Induced Nonequilibrium Entanglement Dynamics in Bosonic Networks
Chenghe Yu, Mingsheng Tian, Ningxin Kong +3 more·Feb 7, 2025
Exceptional points (EPs), arising in non-Hermitian systems, have garnered significant attention in recent years, enabling advancements in sensing, wave manipulation, and mode selectivity. However, their role in quantum systems, particularly in influe...
Gaussian Models to Non-Gaussian Realms of Quantum Photonic Simulators
D. D. K. Wayo, Rodrigo Alves Dias, Masoud Darvish Ganji +2 more·Feb 7, 2025
Quantum photonic simulators have emerged as indispensable tools for modeling and optimizing quantum photonic circuits, bridging the gap between theoretical models and experimental implementations. This review explores the landscape of photonic quantu...
Variational Quantum Optimization with Continuous Bandits
Marc Wanner, Johan Jonasson, Emil Carlsson +1 more·Feb 6, 2025
We introduce a novel approach to variational Quantum algorithms (VQA) via continuous bandits. VQA are a class of hybrid Quantum-classical algorithms where the parameters of Quantum circuits are optimized by classical algorithms. Previous work has use...
Pre-stack and post-stack seismic inversion using quantum computing
Divakar Vashisth, Rodney Lessard, T. Mukerji·Feb 6, 2025
Quantum computing harnesses the principles of quantum mechanics to solve problems that are intractable for classical computers. Quantum annealing, a specialized approach within quantum computing, is particularly effective for optimization tasks, as i...
TensorQC: Towards Scalable Distributed Quantum Computing via Tensor Networks
Wei Tang, M. Martonosi·Feb 5, 2025
A quantum processing unit (QPU) must contain a large number of high quality qubits to produce accurate results for problems at useful scales. In contrast, most scientific and industry classical computation workloads happen in parallel on distributed ...
A mixed-precision quantum-classical algorithm for solving linear systems
Océane Koska, Marc Baboulin, Arnaud Gazda·Feb 4, 2025
We address the problem of solving a system of linear equations via the Quantum Singular Value Transformation (QSVT). One drawback of the QSVT algorithm is that it requires huge quantum resources if we want to achieve an acceptable accuracy. To reduce...
Quantum-enabled framework for the Advanced Encryption Standard in the post-quantum era
Albert Nieto Morales, Arit Kumar Bishwas, J. J. Varghese·Feb 4, 2025
Quantum computers create new security risks for today's encryption systems. This paper presents an improved version of the Advanced Encryption Standard (AES) that uses quantum technology to strengthen protection. Our approach offers two modes: a full...
Improved quantum computation using operator backpropagation
Bryce Fuller, M. Tran, Danylo Lykov +10 more·Feb 4, 2025
Decoherence of quantum hardware is currently limiting its practical applications. At the same time, classical algorithms for simulating quantum circuits have progressed substantially. Here, we demonstrate a hybrid framework that integrates classical ...
Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms
E. Osaba, Pablo Miranda-Rodríguez, Andreas Oikonomakis +3 more·Jan 30, 2025
This paper presents a novel hybrid approach to solving real-world drone routing problems by leveraging the capabilities of quantum computing. The proposed method, coined Quantum for Drone Routing (Q4DR), integrates the two most prominent paradigms in...
The quantromon: A qubit-resonator system with orthogonal qubit and readout modes
K. Salunkhe, S. Kundu, Srijita Das +3 more·Jan 29, 2025
The measurement of a superconducting qubit is implemented by coupling it to a resonator. The common choice is transverse coupling, which, in the dispersive approximation, introduces an interaction term that enables the measurement. This cross-Kerr te...
Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers
K. Nicoli, Luca J. Wagner, L. Funcke·Jan 29, 2025
Variational Quantum Eigensolvers (VQEs) are a powerful class of hybrid quantum-classical algorithms designed to approximate the ground state of a quantum system described by its Hamiltonian. VQEs hold promise for various applications, including latti...
Exciton pairs coupled via the long-living phonons and their superfluorescent markers
Vladimir Al. Osipov, Boris Fainberg·Jan 28, 2025
A system of several Wannier-Mott excitons interacting with phonons in a bulk material is considered. We show that strong exciton-phonon coupling causes the formation of a coherent two-exciton state -- the exciton pair. Unlike the biexcitons, where th...
Entanglement in Markovian hybrid classical-quantum theories of gravity
Oliviero Angeli, Matteo Carlesso·Jan 27, 2025
Markovian master equations underlie many areas of modern physics and, despite their apparent simplicity, they encode a rich and complex dynamics which is still under active research. We identify a class of continuous variable Markovian master equatio...
Hybrid Quantum Neural Networks with Amplitude Encoding: Advancing Recovery Rate Predictions
Ying Chen, Paul Griffin, Paolo Recchia +2 more·Jan 27, 2025
Recovery rate prediction plays a pivotal role in bond investment strategies by enhancing risk assessment, optimizing portfolio allocation, improving pricing accuracy, and supporting effective credit risk management. However, accurate forecasting rema...
Near-Optimal Parameter Tuning of Level-1 QAOA for Ising Models
V. Vijendran, Dax Enshan Koh, Eunok Bae +3 more·Jan 27, 2025
The Quantum Approximate Optimisation Algorithm (QAOA) is a hybrid quantum-classical algorithm for solving combinatorial optimisation problems. QAOA encodes solutions into the ground state of a Hamiltonian, approximated by a $p$-level parameterised qu...
Eigenstate solutions of the Fermi-Hubbard model via symmetry-enhanced variational quantum eigensolver
Shaohui Yao, Wenyu Wang·Jan 27, 2025
The Variational Quantum Eigensolver (VQE), as a hybrid quantum-classical algorithm, is an important tool for effective quantum computing in the current noisy intermediate-scale quantum (NISQ) era. However, the traditional hardware-efficient ansatz wi...
Quantum-Enhanced Attention Mechanism in NLP: A Hybrid Classical-Quantum Approach
S. M. Y. I. Tomal, Abdullah Al Shafin, Debojit Bhattacharjee +2 more·Jan 26, 2025
Recent advances in quantum computing have opened new pathways for enhancing deep learning architectures, particularly in domains characterized by high-dimensional and context-rich data such as natural language processing (NLP). In this work, we prese...
QuESat: Satellite-Assisted Quantum Internet for Global-Scale Entanglement Distribution
Huayue Gu, Ruozhou Yu, Zhouyu Li +2 more·Jan 26, 2025
Entanglement distribution across remote distances is critical for many quantum applications. Currently, the de facto approach for remote entanglement distribution relies on optical fiber for on-the-ground entanglement distribution. However, the fiber...
Construction of new type of CNOT gate using cross-resonance pulse in the transmon-PPQ system
Jeongsoo Kang, Younghun Kwon·Jan 25, 2025
The transmon, known for its fast operation time and the coherence time of tens of microseconds, is the most commonly used qubit for superconducting quantum processors. However, it is still necessary to enhance the coherence time and the gate fidelity...