Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
27,548
This Month
1,041
Today
0
Research Volume
12,907 papers in 12 months (-5% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Avoiding Convergence Stagnation in a Quantum Circuit Evolutionary Framework Through an Adaptive Cost Function
B. Fernandez, R. Bloot, Marcelo A. Moret·Mar 28, 2025
Binary optimization problems are emerging as potential candidates for useful applications of quantum computing. Among quantum algorithms, the quantum approximate optimization algorithm (QAOA) is currently considered the most promising method to obtai...
Differential equation quantum solvers: engineering measurements to reduce cost
Annie E. Paine, Casper Gyurik, A. A. Gentile·Mar 28, 2025
Quantum computers have been proposed as a solution for efficiently solving non-linear differential equations (DEs), a fundamental task across diverse technological and scientific domains. However, a crucial milestone in this regard is to design proto...
Enhancing Accuracy of Quantum-Selected Configuration Interaction Calculations Using Multireference Perturbation Theory: Application to Aromatic Molecules
Soichi Shirai, Shih-Yen Tseng, Hokuto Iwakiri +3 more·Mar 28, 2025
Quantum-selected configuration interaction (QSCI) is a novel quantum-classical hybrid algorithm for quantum chemistry calculations. This method identifies electron configurations having large weights for the target state using quantum devices and all...
Variational quantum-neural hybrid imaginary time evolution
H. Kuji, T. Nikuni, Yuta Shingu·Mar 28, 2025
Numerous methodologies have been proposed to implement imaginary time evolution (ITE) on quantum computers. Among these, variational ITE (VITE) methods for noisy intermediate-scale quantum (NISQ) computers have attracted much attention, which uses pa...
Cryogenic Magnomechanics for Thermometry Applications
Y. Huang, P. M. C Rourke, A. Peruzzi +4 more·Mar 27, 2025
Cavity magnomechanics combines strong coupling between magnons in a dielectric material and microwave cavity photons with long-lived mechanical resonances. Forming a triple resonance condition, this hybrid quantum system promises many advantages in q...
Improving Variational Quantum Circuit Optimization via Hybrid Algorithms and Random Axis Initialization
Joona V. Pankkonen, Lauri Ylinen, Matti Raasakka +1 more·Mar 26, 2025
Variational quantum circuits (VQCs) are an essential tool in applying noisy intermediate-scale quantum computers to practical problems. VQCs are used as a central component in many algorithms, for example, in quantum machine learning, optimization, a...
Fast and Noise-aware Machine Learning Variational Quantum Eigensolver Optimiser
Akib Karim, Shaobo Zhang, Muhammad Usman·Mar 26, 2025
The Variational Quantum Eigensolver (VQE) is a hybrid quantum-classical algorithm for preparing ground states in the current era of noisy devices. The classical component of the algorithm requires a large number of measurements on intermediate parame...
Predicted third-order sweet spots for phi-junction Josephson parametric amplifiers
Tasnum Reza, Sergey M. Frolov·Mar 25, 2025
Hybrid superconductor-semiconductor nanowire Josephson junctions exhibit skewed and phi-shifted current phase relations when an in-plane magnetic field is applied along the weak link's spin-orbit effective field direction. These junctions can have an...
Hardware-level Interfaces for Hybrid Quantum-Classical Computing Systems
Konstantinos Rallis, Ioannis Liliopoulos, E. Tsipas +5 more·Mar 24, 2025
The technology of Quantum Computing (QC) is continuously evolving, as researchers explore new technologies and the public gains access to quantum computers with an increasing number of qubits. In addition, the research community and industry are incr...
Leveraging Quantum Computing for Accelerated Classical Algorithms in Power Systems Optimization
Rosemary Barrass, Harsha Nagarajan, Carleton Coffrin·Mar 24, 2025
The recent advent of commercially available quantum annealing hardware (QAH) has expanded opportunities for research into quantum annealing-based algorithms. In the domain of power systems, this advancement has driven increased interest in applying s...
On the Importance of Error Mitigation for Quantum Computation
D. Aharonov, O. Alberton, I. Arad +13 more·Mar 21, 2025
Quantum error mitigation (EM) is a family of hybrid quantum-classical methods for eliminating or reducing the effect of noise and decoherence on quantum algorithms run on quantum hardware, without applying quantum error correction (EC). While EM has ...
Dual-type dual-element atom arrays for quantum information processing
Zhanchuan Zhang, Jeth Arunseangroj, Wenchao Xu·Mar 21, 2025
Neutral-atom arrays are a leading platform for quantum technologies, offering a promising route toward large-scale, fault-tolerant quantum computing. We propose a novel quantum processing architecture based on dual-type, dual-element atom arrays, whe...
HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks
Haoqi He, Yan Xiao, Wenzhi Xu +3 more·Mar 20, 2025
Estimating the global Lipschitz constant of neural networks is crucial for understanding and improving their robustness and generalization capabilities. However, precise calculations are NP-hard, and current semidefinite programming (SDP) methods fac...
Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers
Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu +1 more·Mar 18, 2025
In this work, we introduce a Distributed Quantum Long Short-Term Memory (QLSTM) framework that leverages modular quantum computing to address scalability challenges on Noisy Intermediate-Scale Quantum (NISQ) devices. By embedding variational quantum ...
Scalable and fault-tolerant preparation of encoded k -uniform states
Shayan Majidy, Dominik Hangleiter, M. Gullans·Mar 18, 2025
$k$-uniform states are valuable resources in quantum information, enabling tasks such as teleportation, error correction, and accelerated quantum simulations. The practical realization of $k$-uniform states, at scale, faces major obstacles: verifying...
Data Encoding for VQC in Qiskit, A Comparison With Novel Hybrid Encoding
Hillol Biswas·Mar 18, 2025
If quantum machine learning emulates the ways of classical machine learning, data encoding in a quantum neural network is imperative for many reasons. One of the key ones is the complexity attributed to the data size depending upon the features and t...
Scalable low loss cryogenic packaging of quantum memories in CMOS-foundry processed photonic chips
Robert Bernson, Alex Witte, G. Clark +10 more·Mar 18, 2025
Optically linked solid-state quantum memories such as color centers in diamond are a promising platform for distributed quantum information processing and networking. Photonic integrated circuits (PICs) have emerged as a crucial enabling technology f...
Demonstration of high-fidelity entangled logical qubits using transmons.
A. Vezvaee, Vinay Tripathi, Mario Morford-Oberst +3 more·Mar 18, 2025
Quantum error correction (QEC) codes are necessary to fault-tolerantly operate quantum computers. However, every such code is inherently limited by its inability to detect logical errors. Here, we propose and implement a method that leverages dynamic...
Scalability challenges in variational quantum optimization under stochastic noise
Adelina Bärligea, Benedikt Poggel, Jeanette Miriam Lorenz·Mar 18, 2025
With rapid advances in quantum hardware, a central question is whether quantum devices with or without full error correction can outperform classical computers on practically relevant problems. Variational quantum algorithms (VQAs) have gained signif...
Low-loss Nb on Si superconducting resonators from a dual-use spintronics deposition chamber and with acid-free post-processing
Maciej W. Olszewski, Jadrien T. Paustian, Tathagata Banerjee +13 more·Mar 17, 2025
Magnetic impurities are known to degrade superconductivity. For this reason, physical vapor deposition chambers that have previously been used for magnetic materials have generally been avoided for making high-quality superconducting resonator device...