Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
27,548
This Month
1,041
Today
0
Research Volume
12,908 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
Simulating quantum dynamics in two-dimensional lattices with tensor network influence functional belief propagation
Gunhee Park, J. Gray, Garnet Kin-Lic Chan·Apr 10, 2025
Describing nonequilibrium quantum dynamics remains a significant computational challenge due to the growth of spatial entanglement. The tensor network influence functional (TN-IF) approach mitigates this problem for computing the time evolution of lo...
Characterising the failure mechanisms of error-corrected quantum logic gates
Robin Harper, C. Lain'e, Evan T. Hockings +4 more·Apr 9, 2025
Mid-circuit measurements used in quantum error correction are essential in quantum computer architecture, as they read out syndrome data and drive logic gates. Here, we use a heavy-hex code prepared on a superconducting qubit array to investigate how...
Variational quantum machine learning with quantum error detection
Eromanga Adermann, Hajime Suzuki, Muhammad Usman·Apr 9, 2025
Quantum machine learning (QML) is an emerging field that promises advantages such as faster training, improved reliability and superior feature extraction over classical counterparts. However, its implementation on quantum hardware is challenging due...
Trapped ion quantum hardware demonstration of energy calculations using a multireference unitary coupled cluster ansatz: application to the BeH2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs}
Palak Chawla, Disha Shetty, Peniel Bertrand Tsemo +5 more·Apr 9, 2025
In this study, we employ the variational quantum eigensolver algorithm with a multireference unitary coupled cluster ansatz to report the ground state energy of the BeH2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepacka...
Optimizing Multi-Hop Quantum Communication using Bidirectional Quantum Teleportation Protocol
N. Ikken, P. Kumar, A. Slaoui +4 more·Apr 9, 2025
In this paper, we introduce a new method for Bidirectional Quantum Teleportation called Bidirectional Quantum Teleportation using the Modified Dijkstra Algorithm and Quantum Walk (BQT-MDQW). This method uses different types of entangled states, such ...
Realization and Calibration of Continuously Parameterized Two-Qubit Gates on a Trapped-Ion Quantum Processor
C. Yale, Ashlyn D. Burch, Matthew N. H. Chow +5 more·Apr 8, 2025
Continuously parameterized two-qubit gates are a key feature of state-of-the-art trapped-ion quantum processors, as they have favorable error scalings and show distinct improvements in circuit performance over more restricted maximally entangling gat...
New designs of linear optical interferometers with minimal depth and component count
Timothée Goubault de Brugière, R. Mezher, S. Currie +1 more·Apr 8, 2025
We adapt an algorithm for CNOT circuits synthesis based on the Bruhat decomposition to the design of linear optical circuits with Mach-Zehnder interferometers (MZI). The synthesis algorithm reduces to designing sorting networks with nearest neighbor ...
Scalable projected entangled-pair state representation of random quantum circuit states
Sungjin Lee, H. Choi, Daniel Donghyon Ohm +1 more·Apr 7, 2025
Classical simulation of a programmable quantum processor is crucial in identifying the threshold of a quantum advantage. We demonstrate the simple update of projected entangled-pair states (PEPSs) in the Vidal gauge that represent random quantum circ...
CutQAS: Topology-aware quantum circuit cutting via reinforcement learning
Abhishek Sadhu, Aritra Sarkar, Akash Kundu·Apr 5, 2025
Simulating molecular systems on quantum processors has the potential to surpass classical methods in computational resource efficiency. The limited qubit connectivity, small processor size, and short coherence times of near-term quantum hardware cons...
Quantum parallel information exchange (QPIE) hybrid network with transfer learning
Ziqing Guo, Alex Khan, Victor Sheng +2 more·Apr 5, 2025
Quantum machine learning (QML) has emerged as an innovative framework that has the potential to uncover complex patterns by leveraging the ability of quantum systems to simulate and exploit high-dimensional latent spaces, particularly in learning tas...
Minimally universal parity quantum computing
Isaac D. Smith, Berend Klaver, Hendrik Poulsen Nautrup +2 more·Apr 4, 2025
In parity quantum computing, multiqubit logical gates are implemented by single-qubit rotations on a suitably encoded state involving auxiliary qubits. Consequently, there is a correspondence between qubit count and the size of the native gate set. O...
Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks
Alexander Mattick, Maniraman Periyasamy, Christian Ufrecht +4 more·Apr 4, 2025
Quantum computing is currently strongly limited by the impact of noise, in particular introduced by the application of two-qubit gates. For this reason, reducing the number of two-qubit gates is of paramount importance on noisy intermediate-scale qua...
SpinHex: A low-crosstalk, spin-qubit architecture based on multi-electron couplers
R. Otxoa, Josu Etxezarreta Martinez, Paul Schnabl +3 more·Apr 4, 2025
Semiconductor spin qubits are an attractive quantum computing platform that offers long qubit coherence times and compatibility with existing semiconductor fabrication technology for scale up. Here, we propose a spin-qubit architecture based on spinl...
PHOENIX: Pauli-Based High-Level Optimization Engine for Instruction Execution on NISQ Devices
Zhaohui Yang, Dawei Ding, Chenghong Zhu +2 more·Apr 4, 2025
Variational quantum algorithms (VQA) based on Hamiltonian simulation represent a specialized class of quantum programs well-suited for near-term quantum computing applications due to its modest resource requirements in terms of qubits and circuit dep...
Improved Strategies for Fermionic Quantum Simulation with Global Interactions
Thierry N. Kaldenbach, Erik Schultheis, Niklas Stewen +1 more·Apr 4, 2025
We present efficient quantum circuits for fermionic excitation operators tailored for ion trap quantum computers exhibiting the Mølmer-Sørensen (MS) gate. Such operators commonly arise in the study of static and dynamic properties in electronic struc...
Quantum singular value transformation without block encodings: Near-optimal complexity with minimal ancilla
Shantanav Chakraborty, Soumyabrata Hazra, Tongyang Li +3 more·Apr 3, 2025
We develop new algorithms for Quantum Singular Value Transformation (QSVT), a unifying framework that encapsulates most known quantum algorithms and serves as the foundation for new ones. Existing implementations of QSVT rely on block encoding, incur...
State Specific Measurement Protocols for the Variational Quantum Eigensolver
Davide Bincoletto, Jakob S. Kottmann·Apr 3, 2025
A central roadblock in the realization of variational quantum eigensolvers on quantum hardware is the high overhead associated with measurement repetitions, which hampers the computation of complex problems, such as the simulation of mid- and large-s...
An Overview of Josephson Junctions Based QPUs
Omid Mohebi, Alireza Mohseni·Apr 3, 2025
Quantum processing units (QPUs) based on superconducting Josephson junctions promise significant advances in quantum computing. However, they face critical challenges. Decoherence, scalability limitations, and error correction overhead hinder practic...
A Scalable Synthesis Algorithm for Reversible Functions
Moein Sarvaghad-Moghaddam, M. S. Zamani, M. Sedighi·Apr 3, 2025
Reversible computation is an emerging technology that has gained significant attention due to its critical role in quantum circuit synthesis and low-power design. This paper introduces a transformation-based method for exact synthesis of reversible c...
HQViT: Hybrid Quantum Vision Transformer for Image Classification
Hui Zhang, Qinglin Zhao, MengChu Zhou +1 more·Apr 3, 2025
Transformer-based architectures have revolutionized the landscape of deep learning. In computer vision domain, Vision Transformer demonstrates remarkable performance on par with or even surpassing that of convolutional neural networks. However, the q...