Papers
Live trends in quantum computing research, updated daily from arXiv.
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12,928 papers in 12 months (-5% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Pathfinding Quantum Simulations of Neutrinoless Double-Beta Decay
Ivan A. Chernyshev, Roland C. Farrell, Marc Illa +10 more·Jun 6, 2025
We present results from co-designed quantum simulations of the neutrinoless double-beta decay of a simple nucleus in 1+1D quantum chromodynamics using IonQ's Forte-generation trapped-ion quantum computers. Electrons, neutrinos, and up and down quarks...
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...
Efficient Quantum Gibbs Sampling with Local Circuits
D. Hahn, R. Sweke, Abhinav Deshpande +1 more·Jun 4, 2025
The problem of simulating the thermal behavior of quantum systems remains a central open challenge in quantum computing. Unlike well-established quantum algorithms for unitary dynamics, \emph{provably efficient} algorithms for preparing thermal state...
Computational Complexity and Simulability of Non-Hermitian Quantum Dynamics
Brian Barch, Daniel Lidar·Jun 3, 2025
Non-Hermitian (NH) quantum systems demonstrate striking differences from their Hermitian counterparts, leading to claims of NH advantage in areas ranging from metrology to entanglement generation. We show that in the context of quantum computation, a...
Exceeding the Parametric Drive Strength Threshold in Nonlinear Circuits
Mingkang Xia, Crist'obal Lled'o, Matthew Capocci +7 more·Jun 3, 2025
Superconducting quantum circuits rely on strong drives to implement fast gates, high-fidelity readout, and state stabilization. However, these drives can induce uncontrolled excitations, so-called"ionization", that compromise the fidelity of these op...
Fast Machine Learning for Quantum Control of Microwave Qudits on Edge Hardware
F. Sanders, Gaurav Agarwal, Luca P. Carloni +3 more·Jun 3, 2025
Quantum optimal control is a promising approach to improve the accuracy of quantum gates, but it relies on complex algorithms to determine the best control settings. CPU or GPU-based approaches often have delays that are too long to be applied in pra...
Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
Florian Fürrutter, Zohim Chandani, Ikko Hamamura +2 more·Jun 2, 2025
Efficiently compiling quantum operations remains a major bottleneck in scaling quantum computing. Today's state-of-the-art methods achieve low compilation error by combining search algorithms with gradient-based parameter optimization, but they incur...
Bridging Quantum and Classical Computing in Drug Design: Architecture Principles for Improved Molecule Generation
Andrew K Smith, Erhan Guven·Jun 1, 2025
Hybrid quantum-classical machine learning offers a path to leverage noisy intermediate-scale quantum (NISQ) devices for drug discovery, but optimal model architectures remain unclear. We systematically optimize the quantum-classical bridge architectu...
Closing the Quantum-Classical Scaling Gap in Approximate Optimization
J. Pawlowski, P. Tarasiuk, J. Tuziemski +2 more·May 28, 2025
In a recent study (Ref. [1]), quantum annealing was reported to exhibit a scaling advantage for approximately solving Quadratic Unconstrained Binary Optimization (QUBO). However, this claim critically depends on the choice of classical reference algo...
Leveraging Diffusion Models for Parameterized Quantum Circuit Generation
Daniel Barta, Darya Martyniuk, Johannes Jung +1 more·May 27, 2025
Quantum computing holds immense potential, yet its practical success depends on multiple factors, including advances in quantum circuit design. In this paper, we introduce a generative approach based on denoising diffusion models (DMs) to synthesize ...
Active Quantum Reservoir Engineering: Using a Qubit to Manipulate its Environment
Marcelo Janovitch, Matteo Brunelli, Patrick P. Potts·May 22, 2025
Quantum reservoir engineering leverages dissipative processes to achieve desired behavior, with applications ranging from entanglement generation to quantum error correction. Therein, a structured environment acts as an entropy sink for the system an...
Energy Consumption Framework and Analysis of Post-Quantum Key-Generation on Embedded Devices
J. Patterson, William J. Buchanan, Callum Turino·May 22, 2025
The emergence of quantum computing and Shor’s algorithm necessitates an imminent shift from current public key cryptography techniques to post-quantum-robust techniques. The NIST has responded by standardising Post-Quantum Cryptography (PQC) algorith...
A Fully Device-Independent Ternary Quantum Key Distribution Protocol Based on the Impossible Colouring Game
Aniket Basak, Rajeet Ghosh, Rohit Sarma Sarkar +2 more·May 21, 2025
We propose a Ternary Fully Device-Independent Quantum Key Distribution (TFDIQKD) protocol based on the two-party Impossible Colouring pseudo-telepathy game, utilizing maximally entangled qutrit states to enable secure key generation between distant p...
Robust and compact single-lens crossed-beam optical dipole trap for Bose-Einstein condensation in microgravity
Jan Simon Haase, Alexander Fieguth, Igor Bröckel +3 more·May 21, 2025
We present a novel concept for a compact and robust crossed-beam optical dipole trap (cODT) based on a single lens, designed for the efficient generation of Bose-Einstein condensates (BECs) under dynamic conditions. The system employs two independent...
Impact of Clifford operations on non-stabilizing power and quantum chaos
Naga Dileep Varikuti, Soumik Bandyopadhyay, Philipp Hauke·May 20, 2025
Non-stabilizerness, alongside entanglement, is a crucial ingredient for fault-tolerant quantum computation and achieving a genuine quantum advantage. Despite recent progress, a complete understanding of the generation and thermalization of non-stabil...
Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing
Hyunseong Kim, Gyunghyun Jang, Seungwon Jin +8 more·May 19, 2025
The Josephson junction is the fundamental nonlinear building block of superconducting quantum technologies. Its macroscopic quantum tunneling physics underpins superconducting quantum computing, sensing, and communication, but scaling these platforms...
Pursuit and Review of Magnetic Resonance Imaging (MRI) based Quantum Computing -- Qubit Generation, Spin Purification, Tailored RF Pulses and MRI Sequences for Quantum Computing
Z. Cho, J. Han, D. Suk +5 more·May 19, 2025
We propose a novel MRI (Magnetic Resonance Imaging) technique based quantum bit (qubit) generation with water proton NMR (1H-NMR), distinct from previously proposed NMR chemical shift or spectroscopic techniques based qubit generation. We briefly rev...
Level Generation With Quantum Reservoir Computing
Joao S. Ferreira, Pierre Fromholz, Hari Shaji +2 more·May 19, 2025
Reservoir computing is a form of machine learning particularly suited for time-series analysis, including forecasting predictions. We take an implementation of quantum reservoir computing that was initially designed to generate variants of musical sc...
Efficient Generation of Parameterised Quantum Circuits from Large Texts
C. Krawchuk, Nikhil Khatri, Neil John Ortega +1 more·May 19, 2025
Quantum approaches to natural language processing (NLP) are redefining how linguistic information is represented and processed. While traditional hybrid quantum-classical models rely heavily on classical neural networks, recent advancements propose a...
Joint Optimization of Routing and Purification to Meet Fidelity Targets in Quantum Networks
Gongyu Ni, Holger Claussen, Lester Ho·May 18, 2025
Quantum networks rely on high-fidelity entanglement links, but achieving target fidelity often increases latency and Bell pair consumption due to purification. This paper proposes a cost-based scheduler that jointly optimizes path selection and purif...