Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Dead Gate Elimination
Yanbin Chen, C. Mendl, Helmut Seidl·Apr 17, 2025
Hybrid quantum algorithms combine the strengths of quantum and classical computing. Many quantum algorithms, such as the variational quantum eigensolver (VQE), leverage this synergy. However, quantum circuits are executed in full, even when only subs...
Layered KIK quantum error mitigation for dynamic circuits
Ben Bar, Jader P. Santos, Raam Uzdin·Apr 16, 2025
Quantum Error Mitigation is essential for enhancing the reliability of quantum computing experiments. The adaptive KIK error mitigation method has demonstrated significant advantages, including resilience to temporal noise drifts, applicability to no...
Characterizing physical and logical errors in a transversal CNOT via cycle error reconstruction
Nicholas Fazio, Robert Freund, Debankan Sannamoth +7 more·Apr 16, 2025
The development of prototype quantum information processors has progressed to a stage where small instances of logical qubit systems perform better than the best of their physical constituents. Advancing towards fault-tolerant quantum computing will ...
Locality-Aware Pauli-Based Computation for Local Magic State Preparation
Yutaka Hirano, Keisuke Fujii·Apr 16, 2025
Magic state distillation, a process for preparing magic states needed to implement non-Clifford gates faulttolerantly, plays a crucial role in fault-tolerant quantum computation. Historically, it has been a major bottleneck, leading to the pursuit of...
Constant-time hybrid compilation of Shor's algorithm with quantum just-in-time compilation
David Ittah, J. Fraser, Josh Izaac +1 more·Apr 16, 2025
Continuous improvements in quantum computing hardware are exposing the need for simultaneous advances in software. Large-scale implementation of quantum algorithms requires rapid and automated compilation routines such as circuit synthesis and optimi...
Advancing quantum simulations of nuclear shell model with noise-resilient protocols
Nifeeya Singh, P. Siwach, P. Arumugam·Apr 16, 2025
Some of the computational limitations in solving the nuclear many-body problem could be overcome by utilizing quantum computers. The nuclear shell-model calculations providing deeper insights into the properties of atomic nuclei, is one such case wit...
Q-Cluster: Quantum Error Mitigation Through Noise-Aware Unsupervised Learning
Hrushikesh Pramod Patil, Dror Baron, Huiyang Zhou·Apr 15, 2025
Quantum error mitigation (QEM) is critical in reducing the impact of noise in the pre-fault-tolerant era, and is expected to complement error correction in fault-tolerant quantum computing (FTQC). In this paper, we propose a novel QEM approach, Q-Clu...
Dynamical Casimir effect in superconducting cavities: from photon generation to universal quantum gates
F. Lombardo, P. I. Villar·Apr 15, 2025
This chapter explores various aspects of the Dynamical Casimir Effect (DCE) and its implications in the context of circuit quantum electrodynamics (cQED). We begin by reviewing the origin and fundamental properties of the DCE, including three equival...
Iterative Linear Quadratic Regulator for Quantum Optimal Control
D. Heimann, Felix Wiebe, Tahereh Abad +4 more·Apr 15, 2025
Quantum optimal control for gate optimization aims to provide accurate, robust, and fast pulse sequences to achieve gate fidelities on quantum systems below the error correction threshold. Many methods have been developed and successfully applied in ...
Trapping potentials and quantum gates for microwave-dressed Rydberg atoms on an atom chip
Iason Tsiamis, Georgios Doultsinos, Andreas F. Tzortzakakis +5 more·Apr 14, 2025
Rydberg atoms in dc electric fields acquire static dipole moments. When the atoms are close to a surface producing an inhomogeneous electric field, such as by the adsorbates on an atom chip, depending on the sign of the dipole moment of the Rydberg-S...
Scalable fluxonium qubit architecture with tunable interactions between non-computational levels
Peng Zhao, Guming Zhao, Shaowei Li +2 more·Apr 14, 2025
The fluxonium qubit has emerged as a promising candidate for superconducting quantum computing due to its long coherence times and high-fidelity gates. Nonetheless, further scaling up and improving performance remain critical challenges for establish...
Implementing and benchmarking dynamically corrected gates on superconducting devices using space curve quantum control
Hisham Amer, Evangelos Piliouras, Edwin Barnes +1 more·Apr 14, 2025
We use Space Curve Quantum Control (SCQC) to design, experimentally demonstrate, and benchmark dynamically corrected single-qubit gates on IBM hardware, comparing their performance to that of the standard gates provided by IBM. Our gates are designed...
Universal fault-tolerant logic with heterogeneous holographic codes
M. Steinberg, Junyu Fan, J. Eisert +3 more·Apr 14, 2025
The study of holographic bulk-boundary dualities has led to the construction of novel quantum error correcting codes. Although these codes have shed new light on conceptual aspects of these dualities, they have widely been believed to lack a crucial ...
Quantum Image Visualizer: Visual Debugging of Quantum Image Processing Circuits
Anja Heim, Thomas Lang, Alexander Gall +2 more·Apr 14, 2025
Quantum computing is an emerging field that utilizes the unique principles of quantum mechanics to offer significant advantages in algorithm execution over classical approaches. This potential is particularly promising in the domain of quantum image ...
Survival of the Optimized: An Evolutionary Approach to T-depth Reduction
Archisman Ghosh, Avimita Chatterjee, Swaroop Ghosh·Apr 13, 2025
Quantum Error Correction (QEC) is the corner-stone of practical Fault-Tolerant Quantum Computing (FTQC), but incurs enormous resource overheads. Circuits must decompose into Clifford +T gates, and the non-transversal T gates demand costly magic-state...
An Efficient Quantum Classifier Based on Hamiltonian Representations
Federico Tiblias, Anna Schroeder, Yue Zhang +2 more·Apr 13, 2025
Quantum machine learning (QML) is a discipline that seeks to transfer the advantages of quantum computing to data-driven tasks. However, many studies rely on toy datasets or heavy feature reduction, raising concerns about their scalability. Progress ...
Compact Circuits for Constrained Quantum Evolutions of Sparse Operators
Franz G. Fuchs, R. P. Bassa·Apr 12, 2025
We introduce a general framework for constructing compact quantum circuits that implement the real-time evolution of Hamiltonians of the form $H = \sigma P_B$, where $\sigma$ is a Pauli string commuting with a projection operator $P_B$ onto a subspac...
A Fully Planar Approach to Field-Coupled Nanocomputing: Scalable Placement and Routing Without Wire Crossings
Benjamin Hien, Marcel Walter, S. Hofmann +1 more·Apr 11, 2025
Field-coupled Nanocomputing (FCN) is a class of promising post-CMOS technologies that transmit information through electric or magnetic fields instead of current flow. They utilize basic building blocks called cells, which can form gates that impleme...
Is Productivity in Quantum Programming Equivalent to Expressiveness?
Francini Corrales-Garro, Danny Valerio-Ram'irez, Santiago N'unez-Corrales·Apr 11, 2025
The expressiveness of quantum programming languages plays a crucial role in the efficient and comprehensible representation of quantum algorithms. Unlike classical programming languages, which offer mature and well-defined abstraction mechanisms, qua...
CDJ-Pontryagin Optimal Control for General Continuously Monitored Quantum Systems
Tathagata Karmakar, Andrew N. Jordan·Apr 10, 2025
The Chantasri-Dressel-Jordan (CDJ) stochastic path integral formalism (Chantasri et al. 2013 and 2015) characterizes the statistics of the readouts and the most likely conditional evolution of continuously monitored quantum systems. In our work, we g...