Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Tour de gross: A modular quantum computer based on bivariate bicycle codes
Theodore J. Yoder, Eddie Schoute, Patrick Rall +5 more·Jun 3, 2025
We present the bicycle architecture, a modular quantum computing framework based on high-rate, low-overhead quantum LDPC codes identified in prior work. For two specific bivariate bicycle codes with distances 12 and 18, we construct explicit fault-to...
Stacking the odds: full-stack quantum system design space exploration
Hila Safi, Medina Bandic, Christoph Niedermeier +3 more·Jun 3, 2025
Design space exploration (DSE) plays an important role in optimising quantum circuit execution by systematically evaluating different configurations of compilation strategies and hardware settings. In this paper, we conduct a comprehensive investigat...
Improved belief propagation is sufficient for real-time decoding of quantum memory
Tristan Muller, Thomas Alexander, M. Beverland +4 more·Jun 2, 2025
We introduce a new heuristic decoder, Relay-BP, targeting real-time quantum circuit decoding for large-scale quantum computers. Relay-BP achieves high accuracy across circuit-noise decoding problems: significantly outperforming BP+OSD+CS-10 for bivar...
Demonstrating magnetic field robustness and reducing temporal T1 noise in transmon qubits through magnetic field engineering
Bektur Abdisatarov, Tanay Roy, D. Bafia +10 more·Jun 2, 2025
The coherence of superconducting transmon qubits is often disrupted by fluctuations in the energy relaxation time (T1), limiting their performance for quantum computing. While background magnetic fields can be harmful to superconducting devices, we d...
Quantum Machine Learning for Predicting Anastomotic Leak: A Clinical Study
V. Nov'ak, Ivan Zelinka, Lenka Pvribylov'a +2 more·Jun 2, 2025
Anastomotic leak (AL) is a life-threatening complication following colorectal surgery, and its accurate prediction remains a significant clinical challenge. This study explores the potential of Quantum Neural Networks (QNNs) for AL prediction, presen...
Optimization Strategies for Variational Quantum Algorithms in Noisy Landscapes
Vojtech Novák, Ivan Zelinka, V. Snásel·Jun 2, 2025
Variational Quantum Algorithms (VQAs) are a leading approach for near-term quantum computing but face major optimization challenges from noise, barren plateaus, and complex energy landscapes. We benchmarked more than fifty metaheuristic algorithms fo...
Self-attention U-Net decoder for toric codes
Wei-Wei Zhang, Zhu Xia, Wei Zhao +2 more·Jun 2, 2025
In the NISQ era, one of the most important bottlenecks for the realization of universal quantum computation is error correction. Stabiliser code is the most recognizable type of quantum error correction code. A scalable efficient decoder is most desi...
Quantum Key Distribution by Quantum Energy Teleportation
Shlomi Dolev, Kazuki Ikeda, Yaron Oz·Jun 1, 2025
Quantum energy teleportation (QET) is a process that leverages quantum entanglement and local operations to transfer energy between two spatially separated locations without physically transporting particles or energy carriers. We construct a QET-bas...
Quantum-Classical Embedding via Ghost Gutzwiller Approximation for Enhanced Simulations of Correlated Electron Systems
I. Chen, Aleksei Khindanov, C. Salazar +6 more·Jun 1, 2025
Simulating correlated materials on present-day quantum hardware remains challenging due to limited quantum resources. Quantum embedding methods offer a promising route by reducing computational complexity through the mapping of bulk systems onto effe...
Quantum Skip Gates: Coherently Conditioned Subroutines in Iterative Quantum Algorithms
Kym Derriman·May 31, 2025
The Quantum Skip Gate (QSG) is a unitary circuit primitive that coherently superposes the execution and omission of an expensive quantum subroutine based on the outcome of a cheaper preceding subroutine, without mid-circuit measurement or loss of coh...
Statistical Signal Processing for Quantum Error Mitigation
Kausthubh Chandramouli, K. Allen, Christopher Mori +2 more·May 31, 2025
In the noisy intermediate-scale quantum (NISQ) era, quantum error mitigation (QEM) is essential for producing reliable outputs from quantum circuits. We present a statistical signal processing approach to QEM that estimates the most likely noiseless ...
Entanglement Detection with Variational Quantum Interference: Theory and Experiment
Rui Zhang, Zhenhuan Liu, Chendi Yang +7 more·May 30, 2025
Entanglement detection is a fundamental task in quantum information science, serving as a cornerstone for quantum benchmarking and foundational studies. With an increasing qubit number that can be effectively controlled, there is a pressing need for ...
Precision bounds for bosonic quantum batteries
Beatriz Polo, Federico Centrone·May 30, 2025
We study precision charging in bosonic quantum batteries under a finite-energy constraint, using the signal-to-noise ratio (SNR) of delivered excitations as an operational metric directly tied to the energy measured at a load. At the state level, we ...
From top quarks to enhanced quantum key distribution: A Framework for Optimal Predictability of Quantum Observables
Dennis I. Martínez-Moreno, Miguel Castillo-Celeita, Diego G. Bussandri·May 30, 2025
Predicting the outcomes of quantum measurements is a cornerstone of quantum information theory and a key resource for quantum technologies. Here, we introduce a comprehensive framework for quantifying the predictability of measurements on a bipartite...
Strongly driven transmon as an incoherent noise source
Linda Greggio, Rémi Robin, M. Mirrahimi +1 more·May 30, 2025
Under strong drives, which are becoming necessary for fast high-fidelity operations, transmons can be structurally unstable. Due to chaotic effects, the computational manifold is no longer well separated from the remainder of the spectrum, which corr...
Co-designed Quantum Discrete Adiabatic Linear System Solver Via Dynamic Circuits
Boxuan Ai, Shuo He, Xiang Zhao +7 more·May 30, 2025
Existing quantum discrete adiabatic approaches are hindered by circuit depth that increases linearly with the number of evolution steps, a significant challenge for current quantum hardware with limited coherence times. To address this, we propose a ...
Fast-tracking and disentangling of qubit noise fluctuations using minimal-data averaging and hierarchical discrete fluctuation auto-segmentation
Abhishek Agarwal, Lachlan P. Lindoy, Deepesh Kumar Lall +3 more·May 29, 2025
Qubit noise and fluctuations of the noise over time are key factors limiting the performance of quantum computers. Characterising them with high temporal resolution is challenging due to multiple overlapping stochastic processes such as discrete jump...
"Quantum supremacy"challenged. Instantaneous noise-based logic with benchmark demonstrations
Nasir Kenarangui, W. Daugherity, Arthur Powalka +1 more·May 29, 2025
Instantaneous Noise-Based Logic (INBL) represents a computational paradigm that offers a deterministic alternative to quantum computing, potentially challenging the notion of quantum supremacy without relying on quantum hardware. INBL encodes logical...
Markovian heat engine boosted by quantum coherence
Freddier Cuenca-Montenegro, Marcela Herrera, John H. Reina·May 28, 2025
We evaluate the role of quantum coherence as a thermodynamic resource in a noisy, Markovian, one-qubit heat engine. By consuming the coherence of noisy quantum states, we demonstrate that the engine can surpass the classical efficiency limit when ope...
Importance sampling for data-driven decoding of quantum error-correcting codes
Evan Peters·May 28, 2025
Data-driven decoding (DDD) - learning to decode syndromes of (quantum) error-correcting codes by learning from data - can be a difficult problem due to several atypical and poorly understood properties of the training data. We introduce a theory of e...