Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Experimental realization of the bucket-brigade quantum random access memory
F. Shen, Y. Ji, Debin Xiang +20 more·Jun 20, 2025
Quantum random access memory (QRAM) enables efficient classical data access for quantum computers -- a prerequisite for many quantum algorithms to achieve quantum speedup. Despite various proposals, the experimental realization of QRAM remains largel...
Qubit thermodynamics: Entropy production from nonadiabatic driving
P. Zhelnin, Lucas Johns, C. Argüelles·Jun 20, 2025
Adiabaticity is a cornerstone of many promising approaches to quantum control, computing, and simulation. In practice, however, there is always a trade-off. Although the deleterious effects of noise can be diminished by running a control schedule mor...
Protocol for detecting the nonlocality of the multi-Majorana Systems
Bai Liu, Peng Qian, Zhan-qiang Cao +1 more·Jun 20, 2025
Majorana zero modes (MZMs) are non-Abelian quasiparticles with the potential to serve as topological qubits for fault-tolerant quantum computing due to their ability to encode quantum information nonlocally. In multi-Majorana systems configured into ...
Full-stack Analog Optical Quantum Computer with A Hundred Inputs
S. Yokoyama, Atsushi Sakaguchi, W. Asavanant +11 more·Jun 19, 2025
Optical technology emerges as a highly promising platform for quantum computing, driven by its enormous potential for large-scale ultrafast computation and its integration with telecom technology. There have been intensive investigations ongoing into...
Fully convolutional 3D neural network decoders for surface codes with syndrome circuit noise
S. Gicev, L. Hollenberg, Muhammad Usman·Jun 19, 2025
Artificial Neural Networks (ANNs) are a promising approach to the decoding problem of Quantum Error Correction (QEC), but have observed consistent difficulty when generalising performance to larger QEC codes. Recent scalability-focused approaches hav...
Mixed-Signal Quantum Circuit Design for Option Pricing Using Design Compiler
Yu-Ting Kao, Yeong-Jar Chang, Ying-Wei Tseng·Jun 19, 2025
Prior studies have largely focused on quantum algorithms, often reducing parallel computing designs to abstract models or overly simplified circuits. This has contributed to the misconception that most applications are feasible only through VLSI circ...
Excitation Amplitude Sampling for Low Variance Electronic Structure on Quantum Computers
Connor Lenihan, Oliver J. Backhouse, Basil Ibrahim +4 more·Jun 18, 2025
We combine classical heuristics with partial shadow tomography to enable efficient protocols for extracting information from correlated ab initio electronic systems encoded on quantum devices. By proposing the use of a correlation energy functional a...
A Topologically Fault-Tolerant Quantum Computer with Four Dimensional Geometric Codes
D. Aasen, Matthew B. Hastings, V. Kliuchnikov +8 more·Jun 18, 2025
Topological quantum codes are intrinsically fault-tolerant to local noise, and underlie the theory of topological phases of matter. We explore geometry to enhance the performance of topological quantum codes by rotating the four dimensional self-corr...
Symmetry in Multi-Qubit Correlated Noise Errors Enhances Surface Code Thresholds
Siying Wang, Yue Yan, ZhiXin Xia +1 more·Jun 18, 2025
Surface codes are promising for practical quantum error correction due to their high threshold and experimental feasibility. However, their performance under realistic noise conditions, particularly those involving correlated errors, requires further...
Error-detected coherence metrology of a dual-rail encoded fixed-frequency multimode superconducting qubit
James Wills, M. Haque, B. Vlastakis·Jun 18, 2025
Amplitude damping is a dominant source of error in high performance quantum processors. A promising approach in quantum error correction is erasure error conversion, where errors are converted into detectable leakage states. Dual-rail encoding has be...
Comparing a Few Qubit Systems for Superconducting Hardware Compatibility and Circuit Design Sensitivity in Qiskit
Hillol Biswas·Jun 17, 2025
The development of complex circuits for practical applications in the current quantum computing ecosystem is based on basic primitives such as Bell states, which provide superposition, entanglement, and coherence. The range of domain-specific quantum...
Adaptive Graph Shrinking for Quantum Optimization of Constrained Combinatorial Problems
Monit Sharma, HoongChuin Lau·Jun 17, 2025
A range of quantum algorithms, especially those leveraging variational parameterization and circuit-based optimization, are being studied as alternatives for solving classically intractable combinatorial optimization problems (COPs). However, their a...
Leveraging erasure errors in logical qubits with metastable $^{171}$Yb atoms
Bichen Zhang, Genyue Liu, G. Bornet +6 more·Jun 16, 2025
Implementing large-scale quantum algorithms with practical advantage will require fault-tolerance achieved through quantum error correction, but the associated overhead is a significant cost. The overhead can be reduced by engineering physical qubits...
The effect of Quantum Time Crystal Computing to Quantum Machine Learning methods
Hikaru Wakaura, A. B. Suksmono·Jun 15, 2025
Many body localization shows the robustness for external perturbations and time reversal symmetry on Time Crystal. This Time Crystal prolongs the coherence time, hence, it is used for quantum computers as qubits. Therefore, we established the method ...
Noise tolerance via reinforcement: Learning a reinforced quantum dynamics
Abolfazl Ramezanpour·Jun 14, 2025
The performance of quantum simulations heavily depends on the efficiency of noise mitigation techniques and error correction algorithms. Reinforcement has emerged as a powerful strategy to enhance the efficiency of learning and optimization algorithm...
Physical-Layer Machine Learning with Multimode Interferometric Photon Counting
Jia-Jin Feng, Anthony J. Brady, Quntao Zhuang·Jun 14, 2025
The learning of the physical world relies on sensing and data post-processing. When the signals are weak, multidimensional and correlated, the performance of learning is often bottlenecked by the quality of sensors, calling for integrating quantum se...
Non-standard quantum algebra $\mathcal{U}_h (\mathfrak{sl}(2, \mathbb{R}))$ and $h$-Dicke states
A. Ballesteros, J. J. Relancio, L. Santamaría-Sanz·Jun 13, 2025
We discuss the application of the Jordanian quantum algebra $\mathcal{U}_h (\mathfrak{sl}(2, \mathbb{R}))$, a Hopf algebra deformation of the Lie algebra $\mathfrak{sl}(2, \mathbb{R})$, in order to generate sets of $N$ qubit quantum states. We constr...
Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
Nico Meyer, Christopher Mutschler, Andreas Maier +1 more·Jun 13, 2025
Quantum error correction is crucial for protecting quantum information against decoherence. Traditional codes like the surface code require substantial overhead, making them impractical for near-term, early fault-tolerant devices. We propose a novel ...
Drift-resilient mid-circuit measurement and state preparation error mitigation for dynamic circuits
Jader P. Santos, R. Uzdin·Jun 12, 2025
Quantum error mitigation (QEM) for dynamic circuits, i.e., those incorporating mid-circuit measurements and feedforward, is important for two key reasons. First, quantum error correction (QEC) circuits are instances of dynamic circuits, and therefore...
Synchronization for Fault-Tolerant Quantum Computers
Satvik Maurya, Swamit S. Tannu·Jun 12, 2025
Quantum Error Correction (QEC) codes store information reliably in logical qubits by encoding them in a larger number of less reliable qubits. The surface code, known for its high resilience to physical errors, is a leading candidate for fault-tolera...