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-inspired genetic algorithm for designing planar multilayer photonic structure
Zhihao Xu, Wenjie Shang, Seongmin Kim +3 more·May 8, 2024
Quantum algorithms are emerging tools in the design of functional materials due to their powerful solution space search capability. How to balance the high price of quantum computing resources and the growing computing needs has become an urgent prob...
Hybrid Quantum Graph Neural Network for Molecular Property Prediction
Michael Vitz, Hamed Mohammadbagherpoor, S. Sandeep +3 more·May 8, 2024
To accelerate the process of materials design, materials science has increasingly used data driven techniques to extract information from collected data. Specially, machine learning (ML) algorithms, which span the ML discipline, have demonstrated abi...
Quantum unital Otto heat engines: using Kirkwood-Dirac quasi-probability for the engine's coherence to stay alive
Abdelkader El Makouri, Abdallah Slaoui, Rachid Ahl Laamara·May 7, 2024
In this work, we consider quantum unital Otto heat engines. The latter refers to the fact that both the unitaries of the adiabatic strokes and the source of the heat provided to the engine preserve the maximally mixed state. We show how to compute th...
Scalable Circuit Cutting and Scheduling in a Resource-Constrained and Distributed Quantum System
Shuwen Kan, Zefan Du, Miguel Palma +6 more·May 7, 2024
Despite rapid developments in quantum computing, current systems remain limited in practical applications due to their constrained qubit counts and quality. Technologies such as superconducting, trapped ions, and neutral atom quantum computing are pr...
Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications
P. Hegde, O. Kyriienko, H. Heimonen +6 more·May 7, 2024
There is much debate on whether quantum computing on current NISQ devices, consisting of noisy hundred qubits and requiring a non-negligible usage of classical computing as part of the algorithms, has utility and will ever offer advantages for scient...
Quantum Circuit Optimisation and MBQC Scheduling with a Pauli Tracking Library
Jannis Ruh, S. Devitt·May 7, 2024
We present a software library for the commutation of Pauli operators through quantum Clifford circuits, which is called Pauli tracking. Tracking Pauli operators allows one to reduce the number of Pauli gates that must be executed on quantum hardware....
Progressive quantum algorithm for maximum independent set with quantum alternating operator ansatz
Xiao-Hui 晓慧 Ni 倪, L. Li 李, Y. Song 宋 +3 more·May 7, 2024
The quantum alternating operator ansatz algorithm (QAOA+) is widely used for constrained combinatorial optimization problems (CCOPs) due to its ability to construct feasible solution spaces. In this paper, we propose a progressive quantum algorithm (...
Neural network based deep learning analysis of semiconductor quantum dot qubits for automated control
Jacob R. Taylor, S. Das Sarma·May 7, 2024
Machine learning offers a largely unexplored avenue for improving noisy disordered devices in physics using automated algorithms. Through simulations that include disorder in physical devices, particularly quantum devices, there is potential to learn...
Quantum-inspired clustering with light
Miguel Varga, Pablo Bermejo, Ruben Pellicer-Guridi +2 more·May 7, 2024
This article introduces a novel approach to perform the simulation of a single qubit quantum-inspired algorithm using laser beams. Leveraging the polarization states of photonic qubits, and inspired by variational quantum eigensolvers, we develop a v...
Cross-Platform Autonomous Control of Minimal Kitaev Chains
D. V. Driel, Rouven Koch, Vincent P. M. Sietses +21 more·May 7, 2024
Contemporary quantum devices are reaching new limits in size and complexity, allowing for the experimental exploration of emergent quantum modes. However, this increased complexity introduces significant challenges in device tuning and control. Here,...
Resource-Efficient and Self-Adaptive Quantum Search in a Quantum-Classical Hybrid System
Zihao Jiang, Zefan Du, Shaolun Ruan +5 more·May 7, 2024
Over the past decade, the rapid advancement of deep learning and big data applications has been driven by vast datasets and high-performance computing systems. However, as we approach the physical limits of semiconductor fabrication in the post-Moore...
Benchmarking Optimizers for Qumode State Preparation with Variational Quantum Algorithms
Shuwen Kan, Miguel Palma, Zefan Du +5 more·May 7, 2024
Quantum state preparation involves preparing a target state from an initial system, a process integral to applications such as quantum machine learning and solving systems of linear equations. A qumode is a quantum-mechanical harmonic oscillator repr...
Quantum-enhanced Markov chain Monte Carlo for systems larger than a quantum computer
Stuart Ferguson, P. Wallden·May 7, 2024
Quantum computers theoretically promise computational advantages in many tasks, but it is much less clear how such advantages can be maintained when using existing and near-term hardware that has limitations in the number and quality of its qubits. L...
Cross-platform hardware benchmark of style-based quantum GANs for data augmentation on superconducting and trapped-ion processors
Julien Baglio·May 7, 2024
In the noisy intermediate-scale quantum era, controlled benchmarks of quantum machine-learning workloads across hardware modalities are needed to quantify how given algorithms behave under native provider execution stacks. This work presents such a b...
Quantum interpretations, causality and quantum computation
Vivek Kumar, M. P. Singh, R. Srikanth·May 6, 2024
The interpretation of quantum mechanics continues to be debated, and quantum nonlocality accentuates the puzzle. Quantum interpretations can be classified broadly into two types: realist interpretations, which assert that quantum states describe obje...
Characterizing high-dimensional multipartite entanglement beyond Greenberger-Horne-Zeilinger fidelities
Shuheng Liu, Qiongyi He, Marcus Huber +1 more·May 6, 2024
Characterizing entanglement of systems composed of multiple particles is a very complex problem that is attracting increasing attention across different disciplines related to quantum physics. The task becomes even more complex when the particles hav...
Homological Quantum Error Correction with Torsion
Samo Nov'ak·May 6, 2024
Homological quantum error correction uses tools of algebraic topology and homological algebra to derive Calderbank-Shor-Steane quantum error correcting codes from cellulations of topological spaces. This work is an exploration of the relevant topics,...
Further Applications of the Generalised Phase Kick-Back
J. Ossorio-Castillo, Ulises Pastor-D'iaz, José M. Tornero·May 6, 2024
In our previous work, we defined a quantum algorithmic technique known as the Generalised Phase Kick-Back, or $GPK$, and analysed its applications in generalising some classical quantum problems, such as the Deutsch-Jozsa problem or the Bernstein-Vaz...
Near-Optimal Decoding Algorithm for Color Codes Using Population Annealing
Fernando Martínez García, Francisco Revson F. Pereira, Pedro Parrado-Rodr'iguez·May 6, 2024
The development and use of large-scale quantum computers relies on integrating quantum error-correcting (QEC) schemes into the quantum computing pipeline. A fundamental part of the QEC protocol is the decoding of the syndrome to identify a recovery o...
Performance Upper Bound of Grover-Mixer Quantum Alternating Operator Ansatz
Ningyi Xie, Jiahua Xu, Tiejin Chen +4 more·May 6, 2024
The Quantum Alternating Operator Ansatz (QAOA) represents a branch of quantum algorithms for solving combinatorial optimization problems. A specific variant, the Grover-Mixer Quantum Alternating Operator Ansatz (GM-QAOA), ensures uniform amplitude ac...