Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
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,...
Data augmentation experiments with style-based quantum generative adversarial networks on trapped-ion and superconducting-qubit technologies
Julien Baglio·May 7, 2024
In the current noisy intermediate scale quantum computing era, and after the significant progress of the quantum hardware we have seen in the past few years, it is of high importance to understand how different quantum algorithms behave on different ...
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...
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...
Mitigating errors in logical qubits
Samuel C. Smith, Benjamin J. Brown, Stephen D. Bartlett·May 6, 2024
Quantum error correcting codes can enable large quantum computations provided physical error rates are sufficiently low. We combine post-selection with surface code error correction through the use of exclusive decoders, which abort on decoding insta...
Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation
Oriel Kiss, Utkarsh Azad, Borja Requena +3 more·May 6, 2024
We investigate the feasibility of early fault-tolerant quantum algorithms focusing on ground-state energy estimation problems. In particular, we examine the computation of the cumulative distribution function (CDF) of the spectral measure of a Hamilt...
Optimal box contraction for solving linear systems via simulated and quantum annealing
S. Suresh, Krishnan Suresh·May 5, 2024
Solving linear systems of equations is an important problem in engineering. Many quantum algorithms, such as the Harrow–Hassidim–Lloyd algorithm and the box algorithm, have been proposed for solving such systems. The focus of this article is on impro...
Halfway Escape Optimization: A Quantum-Inspired Solution for General Optimization Problems
Jiawen Li, Anwar P. P. Abdul Majeed, Pascal Lefèvre·May 5, 2024
This paper first proposes the Halfway Escape Optimization (HEO) algorithm, a quantum-inspired metaheuristic designed to address general optimization problems. The HEO mimics the effects between quantum such as tunneling, entanglement. After the intro...
Logical Error Rates for a [[4,2,2]]-Encoded Variational Quantum Eigensolver Ansatz
Meenambika Gowrishankar, Daniel Claudino, Jerimiah Wright +1 more·May 5, 2024
Quantum computing offers a potential for algorithmic speedups for applications, such as large-scale simulations in chemistry and physics. However, these speedups must yield results that are sufficiently accurate to predict realistic outcomes of exper...
A Greedy Quantum Route-Generation Algorithm
Jordan Makansi, David E. Bernal Neira·May 5, 2024
Routing and scheduling problems with time windows have long been important optimization problems for logistics and planning. Many classical heuristics and exact methods exist for such problems. However, there are no satisfactory methods for generatin...
Validating large-scale quantum machine learning: efficient simulation of quantum support vector machines using tensor networks
Kuan-Cheng Chen, Tai-Yue Li, Yun-Yuan Wang +6 more·May 4, 2024
We present an efficient tensor-network-based approach for simulating large-scale quantum circuits exemplified by quantum support vector machines (QSVMs). Experimentally, leveraging the cuTensorNet library on multiple GPUs, our method effectively redu...