Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Benchmarking Swarm Optimization Algorithms for Parameter Initialization in the Quantum Approximate Optimization Algorithm
Shashank Sanjay Bhat, Peiyong Wang, Udaya Parampalli·Jun 7, 2025
The Quantum Approximate Optimization Algorithm (QAOA) is a prominent variational algorithm for solving combinatorial optimization problems such as the Max Cut problem. A key challenge in QAOA is the efficient identification of variational parameters ...
Remote entanglement generation via enhanced quantum state transfer
Tian-Le Wang, Peng Wang, Zeyin Zhao +16 more·Jun 7, 2025
Achieving robust and scalable remote quantum entanglement is a fundamental challenge for the development of distributed quantum networks and modular quantum computing systems. Along this, perfect state transfer (PST) and fractional state transfer (FS...
Application of quantum machine learning using variational quantum classifier in accelerator physics
He-Xing Yin, Zhi-Yuan Hu, H. Zeng +2 more·Jun 7, 2025
Quantum machine learning algorithms aim to take advantage of quantum computing to improve classical machine learning algorithms. In this paper, we have applied a quantum machine learning algorithm, the variational quantum classifier for the first tim...
Benchmarking Quantum Architecture Search with Surrogate Assistance
Darya Martyniuk, Johannes Jung, Daniel Barta +1 more·Jun 7, 2025
The development of quantum algorithms and their practical applications currently relies heavily on the efficient design, compilation, and optimization of quantum circuits. In particular, parametrized quantum circuits (PQCs), which serve as the basis ...
A fidelity-driven approach to quantum circuit partitioning via weighted hypergraphs for noise-resilient computation
Awad Wehbe, Safiya Al Khatib, Abdel-Mehsen Ahmad·Jun 7, 2025
Effective circuit partitioning is critical for Noisy Intermediate-Scale Quantum (NISQ) devices, which are hampered by high error rates and limited qubit connectivity. Standard partitioning heuristics often neglect gate-specific error impacts, leading...
State Dependent Optimization with Quantum Circuit Cutting
Xinpeng Li, Ji Liu, Jeffrey M. Larson +4 more·Jun 6, 2025
Quantum circuits can be reduced through optimization to better fit the constraints of quantum hardware. One such method, initial-state dependent optimization (ISDO), reduces gate count by leveraging knowledge of the input quantum states. Surprisingly...
A framework for fluctuating times and counting observables in stochastic excursions
Guilherme Fiusa, Pedro E. Harunari, Abhaya S. Hegde +1 more·Jun 5, 2025
Many natural systems exhibit dynamics characterized by alternating phases or recurring sets of states. Describing the fluctuations of such systems over stochastic trajectories is necessary across diverse fields, from biological motors to quantum ther...
Quantum Dialogue through Non-destructive Discrimination of Cluster State
Mandar Thatte, Shreya Banerjee, Prasanta K. Panigrahi·Jun 5, 2025
We propose an efficient, measurement-based quantum dialogue protocol through non-destructive discrimination (NDD) of cluster state. We use ancilla-based measurements that allow the state to be reused without destroying its entanglement. The initial s...
Quantum simulation of the Hubbard model on a graphene hexagon: strengths of IQPE and noise constraints
Mohammad Mirzakhani, Kyungsun Moon·Jun 5, 2025
Quantum computing offers transformative potential for simulating real-world materials, providing a powerful platform to investigate complex quantum systems across quantum chemistry and condensed matter physics. In this work, we leverage this capabili...
Quantum error-correcting codes via inner products and error bases
Jorge R. Bolanos-Serv'in, Yuriko Pitones, J. I. Rios-Cangas·Jun 5, 2025
In this paper, we address the problem of state communication in finite-level quantum systems through noise-affected channels. Our approach is based on a self-consistent theory of decoding inner products associated with the code and error (or noise) b...
Impact of Temporally Correlated Dephasing Noise on the Fidelity of the 2-Qubit Deutsch-Jozsa Algorithm
Souvik Ghosh·Jun 5, 2025
Understanding the influence of realistic noise on quantum algorithms is paramount for the advancement of quantum computation. While often modeled as Markovian, environmental noise in quantum systems frequently exhibits temporal correlations, leading ...
A Hierarchy of Deviation from Complete Positivity and Optimal Entanglement Witnesses
Mohsen Kian·Jun 4, 2025
We introduce the \emph{CP-distance} to quantify the deviation of Hermitian linear maps from complete positivity, defined as the minimal depolarizing noise required to render a map completely positive. We derive a closed spectral formula for this dist...
RhoDARTS: Differentiable Quantum Architecture Search with Density Matrix Simulations
Swagat Kumar, Jan-Nico Zaech, C. M. Wilmott +1 more·Jun 4, 2025
Variational Quantum Algorithms (VQAs) are a promising approach to leverage Noisy Intermediate-Scale Quantum (NISQ) computers. However, choosing optimal quantum circuits that efficiently solve a given VQA problem is a non-trivial task. Quantum Archite...
Make Some Noise! Measuring Noise Model Quality in Real-World Quantum Software
S. R. Maschek, J. Schwitalla, Maja Franz +1 more·Jun 4, 2025
Noise and imperfections are among the prevalent challenges in quantum software engineering for current NISQ systems. They will remain important in the post-NISQ area, as logical, error-corrected qubits will be based on software mechanisms. As real qu...
A Unitary Encoder for Surface Codes
Pei-Kai Tsai, S. Puri·Jun 4, 2025
The surface code is a promising candidate for fault-tolerant quantum computation and has been implemented in many quantum hardware platforms. In this work, we propose a new non-local unitary circuit to encode a surface code state based on a code conv...
Personalized Improvement of Standard Readout Error Mitigation using Low-Depth Circuits and Machine Learning
Melody Lee·Jun 4, 2025
Quantum computers have shown promise in improving algorithms in a variety of fields. The realization of these advancements is limited by the presence of noise and high error rates, which become prominent especially with increasing system size. Mitiga...
Deep-learned error mitigation via partially knitted circuits for the variational quantum eigensolver
S. Cantori, Andrea Mari, David Vitali +1 more·Jun 4, 2025
The variational quantum eigensolver (VQE) is generally regarded as a promising quantum algorithm for near-term noisy quantum computers. However, when implemented with the deep circuits that are in principle required for achieving a satisfactory accur...
Limitations of quantum hardware for molecular energy estimation using VQE.
A. Carreras, Rom'an Or'us, David Casanova·Jun 4, 2025
Variational quantum eigensolvers (VQEs) are among the most promising quantum algorithms for solving electronic structure problems in quantum chemistry, particularly during the noisy intermediate-scale quantum (NISQ) era. In this study, we investigate...
Experimental Detection of Dissipative Quantum Chaos
Kristian Wold, Zitian Zhu, Feitong Jin +13 more·Jun 4, 2025
More than four decades of research on chaos in isolated quantum systems have led to the identification of universal signatures -- such as level repulsion and eigenstate thermalization -- that serve as cornerstones in our understanding of complex quan...
Flagged Extensions and Numerical Simulations for Quantum Channel Capacity: Bridging Theory and Computation
Vahid Nourozi·Jun 3, 2025
I will investigate the capacities of noisy quantum channels through a combined analytical and numerical approach. First, I introduce novel flagged extension techniques that embed a channel into a higher-dimensional space, enabling single-letter upper...