Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum teleportation with dissimilar quantum dots over a hybrid quantum network
Alessandro Laneve, G. Ronco, Mattia Beccaceci +24 more·Nov 19, 2024
Photonic quantum information processing in metropolitan quantum networks lays the foundation for cloud quantum computing [1, 2], secure communication [3, 4], and the realization of a global quantum internet [5, 6]. This paradigm shift requires on-dem...
Thermodynamic limitations on fault-tolerant quantum computing
Mykhailo Bilokur, Sarang Gopalakrishnan, Shayan Majidy·Nov 19, 2024
We investigate the thermodynamic limits on scaling fault-tolerant quantum computers due to heating from quantum error correction (QEC). Quantum computers require error correction, which accounts for 99.9% of the qubit demand and generates heat throug...
Quantum Mini-Apps for Engineering Applications: A Case Study
Horia Margarit, Amanda Bowman, Krishnageetha Karuppasamy +3 more·Nov 19, 2024
In this work, we present a case study in implementing a variational quantum algorithm for solving the Poisson equation, which is a commonly encountered partial differential equation in science and engineering. We highlight the practical challenges en...
Empowering Large Scale Quantum Circuit Development: Effective Simulation of Sycamore Circuits
Venkateswaran Kasirajan, Torey Battelle, Bob Wold·Nov 19, 2024
Simulating quantum systems using classical computing equipment has been a significant research focus. This work demonstrates that circuits as large and complex as the random circuit sampling (RCS) circuits published as a part of Google's pioneering w...
Hybrid Quantum Deep Learning Model for Emotion Detection using raw EEG Signal Analysis
Ali Asgar Chandanwala, Srutakirti Bhowmik, Parna Chaudhury +1 more·Nov 19, 2024
Applications in behavioural research, human-computer interaction, and mental health depend on the ability to recognize emotions. In order to improve the accuracy of emotion recognition using electroencephalography (EEG) data, this work presents a hyb...
HW/SW Implementation of MiRitH on Embedded Platforms
Maximilian Schöffel, Hiandra Tomasi, Norbert Wehn·Nov 19, 2024
Multi-Party Computation in the Head (MPCitH) algorithms are appealing candidates in the additional US NIST standardization rounds for Post-Quantum Cryptography (PQC) with respect to key sizes and mathematical hardness assumptions. However, their comp...
PowerMove: Optimizing Compilation for Neutral Atom Quantum Computers with Zoned Architecture
Jixuan Ruan, Xiang Fang, Hezi Zhang +3 more·Nov 19, 2024
Neutral atom quantum computers (NAQCs) have emerged as promising candidates for scalable quantum computing, thanks to their advanced hardware capabilities, particularly qubit movement and the Zoned Architecture (ZA). However, fully harnessing these f...
Quantum Prometheus: Defying Overhead with Recycled Ancillas in Quantum Error Correction
Avimita Chatterjee, Archisman Ghosh, Swaroop Ghosh·Nov 19, 2024
Quantum error correction (QEC) is crucial for ensuring the reliability of quantum computers. However, implementing QEC often requires a significant number of qubits, leading to substantial overhead. One of the major challenges in quantum computing is...
Exploring the Potential of Quantum Approximate Optimization Algorithm in Tackling the Perfect Domination Problem
Haoqian Pan, Changhong Lu, Yu Zheng +1 more·Nov 19, 2024
Perfect Domination Problem (PDP), a canonical challenge in combinatorial optimization, finds critical applications in real-world systems such as error-correcting codes, wireless communication networks, and social networks. Decades of research have fi...
Measurement-Based Quantum Compiling via Gauge Invariance
Sebastiano Corli, Enrico Prati·Nov 19, 2024
The measurement-based architecture is a paradigm of quantum computing, relying on the entanglement of a cluster of qubits and the measurements of a subset of it, conditioning the state of the unmeasured output qubits. While methods to map the gate mo...
Quantum versatility in PageRank
Wei-Wei Zhang, Zheping Wu, Hengyue Jia +4 more·Nov 19, 2024
Quantum mechanics empowers the emergence of quantum advantages in various fields, including quantum algorithms. Quantum PageRank is a promising tool for a future quantum internet. Recently, arbitrary phase rotations (APRs) have been introduced in the...
Variational Learning of Integrated Quantum Photonic Circuits via Genetic Algorithm
Hui Zhang, Chengran Yang, Wai-Keong Mok +11 more·Nov 19, 2024
Integrated photonic circuits play a crucial role in implementing quantum information processing in the noisy intermediate‐scale quantum (NISQ) era. Variational learning is a promising avenue that leverages classical optimization techniques to enhance...
Multiplexed readout of Superconductor--Normal-Conductor--Superconductor bolometers
Priyank Singh, Andr'as Gunyh'o, Heikki Suominen +9 more·Nov 19, 2024
Recently, ultrasensitive calorimeters have been proposed as a resource-efficient solution for multiplexed qubit readout in superconducting large-scale quantum processors. However, experiments demonstrating frequency multiplexing of these superconduct...
Reuse-Aware Compilation for Zoned Quantum Architectures Based on Neutral Atoms
Wan-Hsuan Lin, Daniel Bochen Tan, Jason Cong·Nov 18, 2024
Quantum computing architectures based on neutral atoms offer large scales and high-fidelity operations. They can be heterogeneous, with different zones for storage, entangling operations, and readout. Zoned architectures improve computation fidelity ...
Simulation of Quantum Transduction Strategies for Quantum Networks
Laura d'Avossa, Caitao Zhan, Joaquin Chung +3 more·Nov 18, 2024
The Quantum Internet would likely be composed of diverse qubit technologies that interact through a heterogeneous quantum network. Thus, quantum transduction has been identified as a key enabler of the Quantum Internet. To better study heterogeneous ...
Statistical Mechanics of Heteropolymers from Lattice Gauge Theory.
Veronica Panizza, A. Roggero, Philipp Hauke +1 more·Nov 18, 2024
Lattice models are valuable tools to gain insight into the statistical physics of heteropolymers. We rigorously map the partition function of these models into a vacuum expectation value of a Z_{2} lattice gauge theory (LGT), with both fermionic and ...
Carleman-Fourier Linearization of Complex Dynamical Systems: Convergence and Explicit Error Bounds
Panpan Chen, N. Motee, Qiyu Sun·Nov 18, 2024
This paper presents a Carleman-Fourier linearization method for nonlinear dynamical systems with periodic vector fields involving multiple fundamental frequencies. By employing Fourier basis functions, the nonlinear dynamical system is transformed in...
Encoding of Probability Distributions for Quantum Monte Carlo Using Tensor Networks
Ant'onio Pereira, Alba Villarino, Aser Cortines +5 more·Nov 18, 2024
The application of Tensor Networks (TN) in quantum computing has shown promise, particularly for data loading. However, the assumption that data is readily available often renders the integration of TN techniques into Quantum Monte Carlo (QMC) ineffi...
Quantum frontiers in high energy physics
Yaquan Fang, Christina Gao, Ying-Ying Li +6 more·Nov 18, 2024
Numerous challenges persist in high energy physics (HEP), the addressing of which requires advancements in detection technology, computational methods, data analysis frameworks, and phenomenological designs. We provide a concise yet comprehensive ove...
Exact quantum algorithm for unit commitment optimization based on partially connected quantum neural networks
Jian Liu, Xu Zhou, Zhuojun Zhou +1 more·Nov 18, 2024
The quantum hybrid algorithm has recently become a very promising and speedy method for solving larger-scale optimization problems in the noisy intermediate-scale quantum (NISQ) era. The unit commitment (UC) problem is a fundamental problem in the fi...