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Papers

Live trends in quantum computing research, updated daily from arXiv.

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13,849 papers in 12 months (-10% vs prior quarter)

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28,891 papers found

Equivalence Checking of Parameterised Quantum Circuits

Xin Hong, Wei-Jia Huang, W. Chien +4 more·Apr 29, 2024

Parameterised quantum circuits (PQCs) hold great promise for demonstrating quantum advantages in practical applications of quantum computation. Examples of successful applications include the variational quantum eigensolver, the quantum approximate o...

Physics

The Power of Shallow-depth Toffoli and Qudit Quantum Circuits

Alex Bredariol Grilo, Elham Kashefi, Damian Markham +1 more·Apr 28, 2024

The relevance of shallow-depth quantum circuits has recently increased, mainly due to their applicability to near-term devices. In this context, one of the main goals of quantum circuit complexity is to find problems that can be solved by shallow qua...

Quantum PhysicsComplexity

Variational optimization for quantum problems using deep generative networks

Lingxia Zhang, Xiaodie Lin, Peidong Wang +4 more·Apr 28, 2024

Optimization drives advances in quantum science and machine learning, yet most generative models aim to mimic data rather than to discover optimal answers to challenging problems. Here we present a variational generative optimization network that lea...

PhysicsComputer ScienceMathematics

Evaluating a quantum-classical quantum Monte Carlo algorithm with Matchgate shadows

Benchen Huang, Yi-Ting Chen, Brajesh Gupt +4 more·Apr 28, 2024

Solving the electronic structure problem of molecules and solids to high accuracy is a major challenge in quantum chemistry and condensed matter physics. The rapid emergence and development of quantum computers offer a promising route to systematical...

Physics

Revisiting Majumdar-Ghosh spin chain model and Max-cut problem using variational quantum algorithms

Britant, Anirban Pathak·Apr 28, 2024

In this work, energy levels of the Majumdar-Ghosh model (MGM) are analyzed up to 15 spins chain in the noisy intermediate-scale quantum framework using noisy simulations. This is a useful model whose exact solution is known for a particular choice of...

Computer SciencePhysics

Quantum-enhanced learning with a controllable bosonic variational sensor network

Pengcheng Liao, Bingzhi Zhang, Quntao Zhuang·Apr 28, 2024

The emergence of quantum sensor networks has presented opportunities for enhancing complex sensing tasks, while simultaneously introducing significant challenges in designing and analyzing quantum sensing protocols due to the intricate nature of enta...

Physics

Multi-Stage Watermarking for Quantum Circuits

Min Yang, Xiaolong Guo, Lei Jiang·Apr 28, 2024

Quantum computing represents a burgeoning computational paradigm that significantly advances the resolution of contemporary intricate problems across various domains, including cryptography, chemistry, and machine learning. Quantum circuits tailored ...

Computer SciencePhysics

XGSwap: eXtreme Gradient boosting Swap for Routing in NISQ Devices

Jean-Baptiste Waring, Christophe Pere, S. L. Beux·Apr 27, 2024

In the current landscape of noisy intermediate-scale quantum (NISQ) computing, the inherent noise presents significant challenges to achieving high-fidelity long-range entanglement. Furthermore, this challenge is amplified by the limited connectivity...

Physics

On Efficient Solutions of General Structured Markov Processes in Quantum Computational Environments

Vasileios Kalantzis, M. Squillante, Shashanka Ubaru·Apr 27, 2024

The most-efficient algorithms for computing the stationary distribution π of such M/G/1-type processes on digital computers consist of cyclic reduction (CR) methods. Despite the computational benefits of CR, the time to compute π can still be prohibi...

PhysicsComputer ScienceMathematics

Red-QAOA: Efficient Variational Optimization through Circuit Reduction

Meng Wang, B. Fang, Ang Li +1 more·Apr 27, 2024

The Quantum Approximate Optimization Algorithm (QAOA) addresses combinatorial optimization challenges by converting inputs to graphs. However, the optimal parameter searching process of QAOA is greatly affected by noise. Larger problems yield bigger ...

Computer SciencePhysics

Optimal quantum sensing of the nonlinear bosonic interactions using Fock states

Payman Mahmoudi, Atirach Ritboon, Radim Filip·Apr 27, 2024

Nonlinear processes with individual quanta beyond bilinear interactions are essential for quantum technology with bosonic systems. Diverse coherent splitting and merging of quanta in them already manifest in the estimation of their nonlinear coupling...

Physics

Clapton: Clifford Assisted Problem Transformation for Error Mitigation in Variational Quantum Algorithms

L. M. Seifert, Siddharth Dangwal, F. Chong +1 more·Apr 27, 2024

Variational quantum algorithms (VQAs) show potential for quantum advantage in the near term of quantum computing, but demand a level of accuracy that surpasses the current capabilities of NISQ devices. To systematically mitigate the impact of quantum...

PhysicsComputer Science

Exploiting many-body localization for scalable variational quantum simulation

Chenfeng Cao, Yeqing Zhou, Swamit Tannu +2 more·Apr 26, 2024

Variational quantum algorithms (VQAs) represent a promising pathway toward achieving practical quantum advantage on near-term hardware. Despite this promise, for generic, expressive ansätze, their scalability is critically hindered by barren plateaus...

Quantum Physics

A manufacturable platform for photonic quantum computing

Koen Avishai Dylan Damien Stanley Ben Hugo Geoff Gabrie Alexander Benyamini Black Bonneau Burgos Burridge , Koen Alexander, A. Benyamini +99 more·Apr 26, 2024

Although holding great promise for low noise, ease of operation and networking1, useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions2, 3, 4, 5–6. Here we introduce a ma...

PhysicsMedicine

Toward a 2D Local Implementation of Quantum Low-Density Parity-Check Codes

Noah F. Berthusen, Dhruv Devulapalli, E. Schoute +4 more·Apr 26, 2024

Geometric locality is an important theoretical and practical factor for quantum low-density parity-check (qLDPC) codes that affects code performance and ease of physical realization. For device architectures restricted to two-dimensional (2D) local g...

Physics

Finite Key Security of Simplified Trusted Node Networks

Walter O. Krawec, Bing Wang, Ryan J Brown·Apr 26, 2024

Simplified trusted nodes (STNs) are a form of trusted node for quantum key distribution (QKD) networks which do not require running a full QKD stack every instance (i.e., they do not need to run error correction and privacy amplification each session...

Computer SciencePhysics

Benchmarking quantum optimization for the maximum-cut problem on a superconducting quantum computer

Maxime Dupont, Bhuvanesh Sundar, B. Evert +4 more·Apr 26, 2024

Achieving high-quality solutions faster than classical solvers on computationally hard problems is a challenge for quantum optimization to deliver utility. Using a superconducting quantum computer, we experimentally investigate the performance of a h...

Physics

Quantum Multi-Agent Reinforcement Learning for Aerial Ad-Hoc Networks

Theodora Dragan, Akshat Tandon, Tom Haider +3 more·Apr 26, 2024

Quantum machine learning (QML) as combination of quantum computing with machine learning (ML) is a promising direction to explore, in particular due to the advances in realizing quantum computers and the hoped-for quantum advantage. A field within QM...

PhysicsComputer Science

A quantum annealing approach to the minimum distance problem of quantum codes

Refat Ismail, Ashish Kakkar, A. Dymarsky·Apr 26, 2024

Quantum error-correcting codes (QECCs) is at the heart of fault-tolerant quantum computing. As the size of quantum platforms is expected to grow, one of the open questions is to design new optimal codes of ever-increasing size. A related challenge is...

Physics

An Interpretable Quantum Adjoint Convolutional Layer for Image Classification

Ren-Xin Zhao, Shi Wang, Yaonan Wang·Apr 26, 2024

The interpretability of quantum machine learning (QML) refers to the capability to provide clear and understandable explanations for the predictions and decision-making processes of QML models. However, most quantum convolutional layers (QCLs) utiliz...

MedicinePhysicsComputer Science
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