Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Noise-Induced Equalization in quantum learning models
Francesco Scala, Giacomo Guarnieri, Aurelien Lucchi·Nov 12, 2025
Quantum noise is known to strongly affect quantum computation, thus potentially limiting the performance of currently available quantum processing units. Even learning models based on variational quantum algorithms, which were designed to cope with t...
Influence of Modulation Frequency Stabilization on Spectral Noise of Electromagnetically Induced Transparency
Hou Jinghua, Su Nan, Liu Yao +3 more·Nov 12, 2025
The conversion of the modulation signal from the coupling light to the probe light and the conversion of the additional phase noise from the coupling light to the amplitude noise of the probe light in the electromagnetically induced transparency (EIT...
Quantum Frustration as a Protection Mechanism in Non-Topological Majorana Qubits
E. Novais·Nov 12, 2025
I analyze the decoherence of a $π$-junction qubit encoded by two co-located Majorana modes. Although not topologically protected, the qubit leverages distinct spatial profiles to couple to two independent environmental baths, realizing the phenomenon...
Efficient and Noise-Resilient Molecular Quantum Simulation with the Generalized Superfast Encoding
James Brown, Tarini S Hardikar, Kenny Heitritter +1 more·Nov 12, 2025
Simulating molecular systems on quantum computers requires efficient mappings from Fermionic operators to qubit operators. Traditional mappings such as Jordan-Wigner or Bravyi-Kitaev often produce high-weight Pauli terms, increasing circuit depth and...
Classical Optimization Strategies for Variational Quantum Algorithms: A Systematic Study of Noise Effects and Parameter Efficiency
Tomáš Bezděk, Haomu Yuan, Vojtěch Novák +2 more·Nov 12, 2025
This study systematically benchmarks classical optimization strategies for the Quantum Approximate Optimization Algorithm when applied to Generalized Mean-Variance Problems under near-term Noisy Intermediate-Scale Quantum conditions. We evaluate Dual...
Hybrid Photonic-Quantum Reservoir Computing For Time-Series Prediction
Oishik Kar, Aswath Babu H·Nov 12, 2025
Motivated by the perspective of advanced time-series prediction and exploitation of Quantum Reservoir Computing (QRC), we explored the design and implementation of a Hybrid Photonic-Quantum Reservoir Computing (HPQRC) paradigm. It brings together the...
Resource-Efficient Variational Quantum Classifier
Petr Ptáček, Paulina Lewandowska, Ryszard Kukulski·Nov 12, 2025
We introduce the unambiguous quantum classifier based on Hamming distance measurements combined with classical post-processing. The proposed approach improves classification performance through a more effective use of ansatz expressivity, while requi...
Boosting Gravity-Induced Entanglement through Parametric Resonance
Yuka Shiomatsu, Youka Kaku, Akira Matsumura +1 more·Nov 12, 2025
Establishing quantum gravity theory remains one of the major challenges in modern physics, as the lack of experimental evidence makes it difficult to explore. In response to this challenge, proposals to test quantum entanglement induced by Newtonian ...
Private Remote Phase Estimation over a Lossy Quantum Channel
Farzad Kianvash, Marco Barbieri, Matteo Rosati·Nov 12, 2025
Private remote quantum sensing (PRQS) aims at estimating a parameter at a distant location by transmitting quantum states on an insecure quantum channel, limiting information leakage and disruption of the estimation itself from an adversary. Previous...
Inherently unpredictable beam steering for quantum LiDAR
Junyeop Kim, Dongjin Lee, Woncheol Shin +2 more·Nov 12, 2025
Quantum LiDAR offers noise resilience and stealth observation capabilities in low-light conditions. In prior demonstrations, the telescope pointing was raster-scanned, making the observation direction predictable from the pointing direction. However,...
QIBONN: A Quantum-Inspired Bilevel Optimizer for Neural Networks on Tabular Classification
Pedro Chumpitaz-Flores, My Duong, Ying Mao +1 more·Nov 12, 2025
Hyperparameter optimization (HPO) for neural networks on tabular data is critical to a wide range of applications, yet it remains challenging due to large, non-convex search spaces and the cost of exhaustive tuning. We introduce the Quantum-Inspired ...
Modelling many-body quantum dynamics with stochastic trajectories: a critical test on the Tavis-Cummings model
A. Leonau, S. Chuchurka, V. Sukharnikov +2 more·Nov 11, 2025
We critically explore the applicability of a recently proposed framework to sample the quantum dynamics of a many-body quantum system interacting with light by stochastic trajectories, applying it to the closed and open Tavis-Cummings model (TCM). Th...
Probing short-range gravity using quantum reflection
J. Boynewicz, C. A. Sackett·Nov 11, 2025
Quantum reflection occurs when ultra-cold atoms are incident on a material surface with sufficiently low velocity. The reflecting matter wave can interfere with the incident wave to form a detectable pattern, and this pattern contains information abo...
Hybrid Atomistic-Parametric Decoherence Model for Molecular Spin Qubits
Katy Aruachan, Sanoj Raj, Yamil J. Colón +2 more·Nov 11, 2025
Solid-state molecular qubits with open-shell ground states have great potential for addressability, scalability, and tunability, but understanding the fundamental limits of quantum coherence in these systems is challenging due to the complexity of th...
Fluctuation amplification engineering in multimode Raman-cavity systems
H. P. Ojeda Collado, Ludwig Mathey·Nov 11, 2025
Parametric amplification is a key ingredient of a wide range of phenomena, from the classical to the quantum domain. Although such phenomena have been demonstrated in non-equilibrium settings, their use for fluctuation engineering has been put forth ...
Surprising applications of Newton's hyperbolism transform of curves in Fourier-transform spectroscopy
Dennis Huber, Steffen J. Glaser·Nov 11, 2025
The Fourier transform (FT) represents a key tool in modern spectroscopy which drastically reduces measurement times and helps to improve the signal-to-noise ratio in spectra. Fourier transforming exponentially decaying time domain signals gives Loren...
Reliable Optimization Under Noise in Quantum Variational Algorithms
Vojtěch Novák, Silvie Illésová, Tomáš Bezděk +2 more·Nov 11, 2025
The optimization of Variational Quantum Eigensolver is severely challenged by finite-shot sampling noise, which distorts the cost landscape, creates false variational minima, and induces statistical bias called winner's curse. We investigate this phe...
Enhancing Circuit Fidelity in Transmon Qubit Rings via Operation Duration Tuning under Strong Connectivity Noise
Quan Fu, Xin Wang, Rui Xiong·Nov 11, 2025
Superconducting transmon qubits are a promising platform for quantum computation, yet they face significant fidelity degradation due to connectivity noise, particularly in the intermediate coupling regime where noise levels are substantial. While pri...
Gate Sequence Optimization for Parameterized Quantum Circuits using Reinforcement Learning
Tom R. Rieckmann, Stefan Scheel, A. Douglas K. Plato·Nov 11, 2025
Current experimental quantum computing devices are limited by noise, mainly originating from entangling gates. If an efficient gate sequence for an operation is unknown, one often employs layered parameterized quantum circuits, especially hardware-ef...
Coherence in the Leak and Storage Kurtosis control Ergotropy in Quantum Batteries
Bitap Raj Thakuria, Trishna Kalita, Manash Jyoti Sarmah +1 more·Nov 11, 2025
We introduce a cavity-coupled finite quantum system which can act as a quantum battery by harnessing noise induced coherences. We apply the methodology of full counting statistics to capture higher-order fluctuations of quanta exchange in the storage...