Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Stimpack: An Adaptive Rendering Optimization System for Scalable Cloud Gaming
Jin Heo, Vic Wang, Ketan Bhardwaj +1 more·Dec 27, 2024
In distributed multimedia applications, content is often delivered to users in a degraded form due to network-induced lossy compression. Real-time and interactive use cases like cloud gaming, which render content on the fly, require low latency and a...
Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection
Mansour El Alami, Nouhaila Innan, Muhammad Shafique +1 more·Dec 27, 2024
As financial fraud becomes increasingly complex, effective detection methods are essential. Quantum Machine Learning (QML) introduces certain capabilities that may enhance both accuracy and efficiency in this area. This study examines how different q...
SIGACT News Complexity Theory Column 123
Ben lee Volk·Dec 27, 2024
Composition is something we take for granted in classical algorithms design, and in particular, we take it as a basic axiom that composing ``efficient'' algorithms should result in an ``efficient'' algorithm -- even using this intuition to justify ou...
Celestial Quantum Error Correction. Part II. From qudits to celestial CFT
Alfredo Guevara, Yangrui Hu·Dec 27, 2024
A holographic CFT description of asymptotically flat spacetimes inherits vacuum degeneracies and IR divergences from its gravitational dual. We devise a Quantum Error Correcting (QEC) framework to encode both effects as correctable fluctuations on th...
Traversing Quantum Control Robustness Landscapes: A New Paradigm for Quantum Gate Engineering
Huiqi Xue, Xiu-Hao Deng·Dec 27, 2024
The optimization of robust quantum control is often tailored to specific tasks and suffers from inefficiencies due to the complexity of cost functions. Our recent findings indicate a highly effective methodology for the engineering of quantum gates b...
Transmon qutrit-based simulation of spin-1 AKLT systems
Keerthi Kumaran, Faisal Alam, N. Eassa +5 more·Dec 27, 2024
Qutrit-based quantum circuits could help reduce the overall circuit depths, and hence the effect of noise, when the system of interest has a local dimension of three. Accessing second excited states in superconducting transmons provides a straightfor...
g-factor theory of Si/SiGe quantum dots: spin-valley and giant renormalization effects
Benjamin D. Woods, Merritt P. Losert, R. Joynt +1 more·Dec 27, 2024
Understanding the $g$-factor physics of Si/SiGe quantum dots is crucial for realizing high-quality spin qubits. While previous work has explained some aspects of $g$-factor physics in idealized geometries, the results do not extend to general cases a...
Super-bath Quantum Eigensolver
Tianren Wang, Zongkang Zhang, Bingjun Lu +2 more·Dec 27, 2024
The simulation of the dynamics of a system coupled to a low-temperature environment is a promising application of quantum computers to determine ground-state properties of physical systems. However, this approach requires not only the $\textit{existe...
A C-Band Cryogenic GaAs MMIC Low-Noise Amplifier for Quantum Applications
Zechen Guo, Daxiong Sun, Peisheng Huang +16 more·Dec 27, 2024
Large-scale superconducting quantum computers require massive numbers of high-performance cryogenic low-noise amplifiers (cryo-LNA) for qubit readout. Here we present a C-Band monolithic microwave integrated circuit (MMIC) cryo-LNA for this purpose. ...
Quantum-Inspired Weight-Constrained Neural Network: Reducing Variable Numbers by 100x Compared to Standard Neural Networks
Shaozhi Li, M Sabbir Salek, Mashrur Chowdhury +1 more·Dec 26, 2024
Although quantum machine learning has shown great promise, the practical application of quantum computers remains constrained in the noisy intermediate-scale quantum era. To take advantage of quantum machine learning, we investigate the underlying ma...
An experimental proposal certification for any three-qubit generalized Greenberger-Horne-Zeilinger states based on the fine-grained steering inequality
Zhihao Bian, Jia-qi Sun, Yi Shen·Dec 26, 2024
Multi-party quantum steering is an important concept in quantum information theory and quantum mechanics, typically related to quantum entanglement and quantum nonlocality. It enables precise manipulation of large quantum systems, which is essentia...
Scaling the Variational Quantum Eigensolver for Dynamic Portfolio Optimization
'Alvaro Nodar, Irene De Le'on, Danel Arias +11 more·Dec 26, 2024
This work explores the potential of the Variational Quantum Eigensolver in solving Dynamic Portfolio Optimization problems surpassing the 100 qubit utility frontier. We systematically analyze how to scale this strategy in complexity and size, from 6 ...
High order schemes for solving partial differential equations on a quantum computer
Boris Arseniev, Dmitry Guskov, R. Sengupta +1 more·Dec 26, 2024
We explore the utilization of higher-order discretization techniques in optimizing the gate count needed for quantum computer based solutions of partial differential equations. To accomplish this, we present an efficient approach for decomposing $d$-...
Forensics of Transpiled Quantum Circuits
Rupshali Roy, Archisman Ghosh, Swaroop Ghosh·Dec 25, 2024
There is a steady growth in research and demand for real quantum hardware in the Noisy Intermediate-Scale Quantum (NISQ) era of quantum computing. This prompts many third-party cloud providers to set up quantum hardware as a service that includes a w...
Shallow Implementation of Quantum Fingerprinting with Application to Quantum Finite Automata
Mansur Ziiatdinov, A. Khadieva, K. Khadiev·Dec 25, 2024
Quantum fingerprinting is a technique that maps a classical input word to a quantum state. The obtained quantum state is much shorter than the original word, and its processing uses fewer resources, making it useful in quantum algorithms, communicati...
Derandomized shallow shadows: Efficient Pauli learning with bounded-depth circuits
Katherine Van Kirk, C. Kokail, Jonathan Kunjummen +7 more·Dec 25, 2024
Efficiently estimating large numbers of non-commuting observables is an important subroutine of many quantum science tasks. We present the derandomized shallow shadows (DSS) algorithm for efficiently learning a large set of non-commuting observables,...
Circuit Folding: Scalable and Graph-Based Circuit Cutting via Modular Structure Exploitation
Shuwen Kan, Yanni Li, Hao Wang +2 more·Dec 24, 2024
Circuit cutting is a promising technique that leverages both quantum and classical computational resources, enabling the practical execution of large quantum circuits on noisy intermediate-scale quantum (NISQ) hardware. Recent approaches typically fo...
Continuous variable entanglement in a cold-atoms mirrorless optical parametric oscillator
G. C. Borba, R. S. N. Moreira, L. S. Cruz +3 more·Dec 24, 2024
In this work, we explore both the internal and external atomic degrees of freedom to observe quantum entanglement between the modes produced by a mirrorless optical parametric oscillator operating below the oscillation threshold in a sample of free-s...
Distributed multi-parameter quantum metrology with a superconducting quantum network
Jiajian Zhang, Lingna Wang, Yong-Ju Hai +19 more·Dec 24, 2024
Quantum metrology has emerged as a powerful tool for timekeeping, field sensing, and precision measurements in fundamental physics. With the advent of distributed quantum metrology, its capabilities have extended to probing spatially distributed para...
Randomized Benchmarking with Synthetic Quantum Circuits
Yale Fan, Riley Murray, Thaddeus D. Ladd +2 more·Dec 24, 2024
Noise characterization methods such as randomized benchmarking (RB) are critical for the development of scalable quantum computers. Modern RB protocols for multiqubit systems extract physically relevant error rates by exploiting the structure of the ...