Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
27,548
This Month
1,041
Today
0
Research Volume
12,909 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
Local surrogates for quantum machine learning
Sreeraj Rajindran Nair, Christopher Ferrie·Jun 11, 2025
Surrogates have been proposed as classical simulations of the pretrained quantum learning models, which are capable of mimicking the input-output relation inherent in the quantum model. Quantum hardware within this framework is used for training and ...
Digital Quantum Simulation of the Kitaev Quantum Spin Liquid
Seongju Park, Eun-Gook Moon·Jun 10, 2025
The ground state of the Kitaev quantum spin liquid on a honeycomb lattice is an intriguing many-body state characterized by its topological order and massive entanglement. One of the significant issues is to prepare and manipulate the ground state as...
Genetic Transformer-Assisted Quantum Neural Networks for Optimal Circuit Design
Haiyan Wang·Jun 10, 2025
We introduce Genetic Transformer Assisted Quantum Neural Networks (GTQNNs), a hybrid learning framework that combines a transformer encoder with a shallow variational quantum circuit and automatically fine tunes the circuit via the NSGA-II multi obje...
Scaling Portfolio Diversification with Quantum Circuit Cutting Techniques
Vicente P. Soloviev, Antonio M'arquez Romero, Josh J. M. Kirsopp +1 more·Jun 10, 2025
Quantum Approximate Optimization Algorithms (QAOA) have demonstrated a strong potential in addressing graph-based optimization problems. However, the execution of large-scale quantum circuits remains constrained by the limitations of current quantum ...
Optimizing Superconducting Three-Qubit Gates for Surface-Code Error Correction
Stephan Tasler, Josias Old, Lukas Heunisch +4 more·Jun 10, 2025
Quantum error correction (QEC) is one of the crucial building blocks for developing quantum computers that have significant potential for reaching a quantum advantage in applications. Prominent candidates for QEC are stabilizer codes for which period...
Fault-Tolerant Stabilizer Measurements in Surface Codes with Three-Qubit Gates.
Josias Old, Stephan Tasler, Michael J. Hartmann +1 more·Jun 10, 2025
Stabilizer quantum error correction (QEC) codes, in particular topological surface codes, are prime candidates to enable practical quantum computing. While it is widely believed that strictly fault-tolerant protocols can only be implemented using sin...
Low-Level and NUMA-Aware Optimization for High-Performance Quantum Simulation
A. Rezaei, Luc Jaulmes, Maria Bahna +2 more·Jun 10, 2025
Scalable classical simulation of quantum circuits is crucial for advancing quantum algorithm development and validating emerging hardware. This work focuses on performance enhancements through targeted low-level and NUMA-aware tuning on a single-node...
Quantum Resource Comparison for Two Leading Surface Code Lattice Surgery Approaches
Tyler Leblond, Ryan S. Bennink·Jun 9, 2025
Hamiltonian simulation is one of the most promising candidates for the demonstration of quantum advantage within the next ten years, and several studies have proposed end-to-end resource estimates for executing such algorithms on fault-tolerant quant...
How to Write a Simulator for Quantum Circuits from Scratch: A Tutorial
Michael J. McGuffin, Jean-Marc Robert, Kazuki Ikeda·Jun 9, 2025
This tutorial guides a competent programmer through the crafting of a quantum circuit simulator from scratch, even for readers with almost no prior experience in quantum computing. Open source simulators for quantum circuits already exist, but a deep...
Experimental Efficient Influence Sampling of Quantum Processes
Hao Zhan, Zongbo Bao, Zekun Ye +4 more·Jun 8, 2025
Characterizing quantum processes is essential for unlocking the potential of quantum devices. However, standard quantum process tomography is resource-intensive and becomes infeasible on large-scale systems. Despite alternative approaches have been s...
Hadamard-Pi: Equational Quantum Programming
Wang Fang, C. Heunen, R. Kaarsgaard·Jun 7, 2025
Quantum computing offers advantages over classical computation, yet the precise features that set the two apart remain unclear. In the standard quantum circuit model, adding a 1-qubit basis-changing gate—commonly chosen to be the Hadamard gate—to a u...
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...
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...
Classical analog circuit emulation of quantum Grover search algorithm
Samuel Feldman, Hassam Ghazali, A. Rogachev·Jun 6, 2025
We construct a completely analog framework that emulates universal quantum gates and quantum algorithms. It is based on electronic circuits made of operational amplifiers, resistors and capacitors. In these circuits, input and output lines represent ...
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...
TQml Simulator: optimized simulation of quantum machine learning
Viacheslav Kuzmin, Basil Kyriacou, Tatjana Protasevich +3 more·Jun 5, 2025
Hardware-efficient circuits employed in Quantum Machine Learning are typically composed of alternating layers of uniformly applied gates. High-speed numerical simulators for such circuits are crucial for advancing research in this field. In this work...
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 Resource Allocating Compiler for Lattice Surgery
A. Robertson, Hao Gao, Y. Sanders·Jun 5, 2025
The emerging field of quantum resource estimation is aimed at providing estimates of the hardware requirements (`quantum resources') needed to execute a useful, fault-tolerant quantum computation. Given that quantum computers are intended to compete ...
QuanUML: Towards A Modeling Language for Model-Driven Quantum Software Development
Xiaoyu Guo, Shinobu Saito, Jianjun Zhao·Jun 5, 2025
This paper introduces QuanUML, an extension of the Unified Modeling Language (UML) tailored for quantum software systems. QuanUML integrates quantum-specific constructs, such as qubits and quantum gates, into the UML framework, enabling the modeling ...
Simulating fluid vortex interactions on a superconducting quantum processor
Ziteng Wang, Jiarun Zhong, Ke Wang +8 more·Jun 4, 2025
Vortex interactions are commonly observed in atmospheric turbulence, plasma dynamics, and collective behaviors in biological systems. However, accurately simulating these complex interactions is highly challenging due to the need to capture fine-scal...