IEEE Transactions on Quantum Engineering最新文献_第5页

Improving Probabilistic Error Cancellation in the Presence of Nonstationary Noise 改进非稳态噪声下的概率误差消除

IEEE Transactions on Quantum Engineering Pub Date : 2024-08-23 DOI: 10.1109/TQE.2024.3435757

Samudra Dasgupta;Travis S. Humble

引用次数: 0

Quantum Circuit for Imputation of Missing Data 计算缺失数据的量子电路

IEEE Transactions on Quantum Engineering Pub Date : 2024-08-22 DOI: 10.1109/TQE.2024.3447875

Claudio Sanavio;Simone Tibaldi;Edoardo Tignone;Elisa Ercolessi

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Simulation of Charge Stability Diagrams for Automated Tuning Solutions (SimCATS) 自动调整解决方案的电荷稳定性图模拟 (SimCATS)

IEEE Transactions on Quantum Engineering Pub Date : 2024-08-20 DOI: 10.1109/TQE.2024.3445967

Fabian Hader;Sarah Fleitmann;Jan Vogelbruch;Lotte Geck;Stefan van Waasen

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Solving Nonnative Combinatorial Optimization Problems Using Hybrid Quantum–Classical Algorithms 利用量子-经典混合算法解决非本地组合优化问题

IEEE Transactions on Quantum Engineering Pub Date : 2024-08-14 DOI: 10.1109/TQE.2024.3443660

Jonathan Wurtz;Stefan H. Sack;Sheng-Tao Wang

{"title":"Solving Nonnative Combinatorial Optimization Problems Using Hybrid Quantum–Classical Algorithms","authors":"Jonathan Wurtz;Stefan H. Sack;Sheng-Tao Wang","doi":"10.1109/TQE.2024.3443660","DOIUrl":"https://doi.org/10.1109/TQE.2024.3443660","url":null,"abstract":"Combinatorial optimization is a challenging problem applicable in a wide range of fields from logistics to finance. Recently, quantum computing has been used to attempt to solve these problems using a range of algorithms, including parameterized quantum circuits, adiabatic protocols, and quantum annealing. These solutions typically have several challenges: 1) there is little to no performance gain over classical methods; 2) not all constraints and objectives may be efficiently encoded in the quantum ansatz; and 3) the solution domain of the objective function may not be the same as the bit strings of measurement outcomes. This work presents “nonnative hybrid algorithms”: a framework to overcome these challenges by integrating quantum and classical resources with a hybrid approach. By designing nonnative quantum variational anosatzes that inherit some but not all problem structure, measurement outcomes from the quantum computer can act as a resource to be used by classical routines to indirectly compute optimal solutions, partially overcoming the challenges of contemporary quantum optimization approaches. These methods are demonstrated using a publicly available neutral-atom quantum computer on two simple problems of Max \u0000<inline-formula><tex-math>$k$</tex-math></inline-formula>\u0000-Cut and maximum independent set. We find improvements in solution quality when comparing the hybrid algorithm to its “no quantum” version, a demonstration of a “comparative advantage.”","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"5 ","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10636813","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multidisk Clutch Optimization Using Quantum Annealing 利用量子退火优化多磁盘离合器

IEEE Transactions on Quantum Engineering Pub Date : 2024-08-09 DOI: 10.1109/TQE.2024.3441229

John D. Malcolm;Alexander Roth;Mladjan Radic;Pablo Martín-Ramiro;Jon Oillarburu;Borja Aizpurua;Román Orús;Samuel Mugel

引用次数: 0

Fault-Tolerant One-Way Noiseless Amplification for Microwave Bosonic Quantum Information Processing 用于微波波色子量子信息处理的容错单向无噪声放大技术

IEEE Transactions on Quantum Engineering Pub Date : 2024-08-07 DOI: 10.1109/TQE.2024.3440192

Hany Khalifa;Riku Jäntti;Gheorghe Sorin Paraoanu

{"title":"Fault-Tolerant One-Way Noiseless Amplification for Microwave Bosonic Quantum Information Processing","authors":"Hany Khalifa;Riku Jäntti;Gheorghe Sorin Paraoanu","doi":"10.1109/TQE.2024.3440192","DOIUrl":"https://doi.org/10.1109/TQE.2024.3440192","url":null,"abstract":"Microwave quantum information networks require reliable transmission of single-photon propagating modes over lossy channels. In this article, we propose a microwave noiseless linear amplifier (NLA) suitable to circumvent the losses incurred by a flying photon undergoing an amplitude damping channel (ADC). The proposed model is constructed by engineering a simple 1-D four-node cluster state. Contrary to conventional NLAs based on quantum scissors (QS), single-photon amplification is realized without the need for photon number resolving detectors. Entanglement between nodes comprising the device's cluster is achieved by means of a controlled phase gate. Furthermore, photon measurements are implemented by quantum nondemolition detectors, which are currently available as a part of the circuit quantum electrodynamics toolbox. We analyze the performance of our device practically by considering detection inefficiency and dark count probability. We further examine the potential usage of our device in low-power quantum sensing applications and remote secret key generation (SKG). Specifically, we demonstrate the device's ability to prepare loss-free resources offline, and its capacity to overcome the repeaterless bound of SKG. We compare the performance of our device against a QS-NLA for the aforementioned applications, and highlight explicitly the operating conditions under which our device can outperform a QS-NLA. The proposed device is also suitable for applications in the optical domain.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"5 ","pages":"1-17"},"PeriodicalIF":0.0,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10629178","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142143741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noise Robustness of Quantum Relaxation for Combinatorial Optimization 组合优化量子松弛的噪声鲁棒性

IEEE Transactions on Quantum Engineering Pub Date : 2024-08-06 DOI: 10.1109/TQE.2024.3439135

Kentaro Tamura;Yohichi Suzuki;Rudy Raymond;Hiroshi C. Watanabe;Yuki Sato;Ruho Kondo;Michihiko Sugawara;Naoki Yamamoto

{"title":"Noise Robustness of Quantum Relaxation for Combinatorial Optimization","authors":"Kentaro Tamura;Yohichi Suzuki;Rudy Raymond;Hiroshi C. Watanabe;Yuki Sato;Ruho Kondo;Michihiko Sugawara;Naoki Yamamoto","doi":"10.1109/TQE.2024.3439135","DOIUrl":"https://doi.org/10.1109/TQE.2024.3439135","url":null,"abstract":"Relaxation is a common way for dealing with combinatorial optimization problems. Quantum random-access optimization (QRAO) is a quantum-relaxation-based optimizer that uses fewer qubits than the number of bits in the original problem by encoding multiple variables per qubit using quantum random-access code (QRAC). Reducing the number of qubits will alleviate physical noise (typically, decoherence), and as a result, the quality of the binary solution of QRAO may be robust against noise, which is, however, unknown. In this article, we numerically demonstrate that the mean approximation ratio of the (3, 1)-QRAC Hamiltonian, i.e., the Hamiltonian utilizing the encoding of three bits into one qubit by QRAC, is less affected by noise compared with the conventional Ising Hamiltonian used in the quantum annealer and the quantum approximate optimization algorithm. Based on this observation, we discuss a plausible mechanism behind the robustness of QRAO under depolarizing noise. Finally, we assess the number of shots required to estimate the values of binary variables correctly under depolarizing noise and show that the (3, 1)-QRAC Hamiltonian requires less shots to achieve the same accuracy compared with the Ising Hamiltonian.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"5 ","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10623712","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142117786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Resource Placement for Rate and Fidelity Maximization in Quantum Networks 量子网络中实现速率和保真度最大化的资源分配

IEEE Transactions on Quantum Engineering Pub Date : 2024-07-23 DOI: 10.1109/TQE.2024.3432390

Shahrooz Pouryousef;Hassan Shapourian;Alireza Shabani;Ramana Kompella;Don Towsley

{"title":"Resource Placement for Rate and Fidelity Maximization in Quantum Networks","authors":"Shahrooz Pouryousef;Hassan Shapourian;Alireza Shabani;Ramana Kompella;Don Towsley","doi":"10.1109/TQE.2024.3432390","DOIUrl":"https://doi.org/10.1109/TQE.2024.3432390","url":null,"abstract":"Existing classical optical network infrastructure cannot be immediately used for quantum network applications due to photon loss. The first step toward enabling quantum networks is the integration of quantum repeaters into optical networks. However, the expenses and intrinsic noise inherent in quantum hardware underscore the need for an efficient deployment strategy that optimizes the placement of quantum repeaters and memories. In this article, we present a comprehensive framework for network planning, aiming to efficiently distribute quantum repeaters across existing infrastructure, with the objective of maximizing quantum network utility within an entanglement distribution network. We apply our framework to several cases including a preliminary illustration of a dumbbell network topology and real-world cases of the SURFnet and ESnet. We explore the effect of quantum memory multiplexing within quantum repeaters, as well as the influence of memory coherence time on quantum network utility. We further examine the effects of different fairness assumptions on network planning, uncovering their impacts on real-time network performance.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"5 ","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10607917","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142045247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Superconducting Nanostrip Photon-Number-Resolving Detector as an Unbiased Random Number Generator 作为无偏随机数发生器的超导纳米带光子数字解析探测器

IEEE Transactions on Quantum Engineering Pub Date : 2024-07-22 DOI: 10.1109/TQE.2024.3432070

Pasquale Ercolano;Mikkel Ejrnaes;Ciro Bruscino;Syed Muhammad Junaid Bukhari;Daniela Salvoni;Chengjun Zhang;Jia Huang;Hao Li;Lixing You;Loredana Parlato;Giovanni Piero Pepe

引用次数: 0

Learning a Quantum Computer's Capability 学习量子计算机的能力

IEEE Transactions on Quantum Engineering Pub Date : 2024-07-18 DOI: 10.1109/TQE.2024.3430215

Daniel Hothem;Kevin Young;Tommie Catanach;Timothy Proctor

{"title":"Learning a Quantum Computer's Capability","authors":"Daniel Hothem;Kevin Young;Tommie Catanach;Timothy Proctor","doi":"10.1109/TQE.2024.3430215","DOIUrl":"https://doi.org/10.1109/TQE.2024.3430215","url":null,"abstract":"Accurately predicting a quantum computer's capability—which circuits it can run and how well it can run them—is a foundational goal of quantum characterization and benchmarking. As modern quantum computers become increasingly hard to simulate, we must develop accurate and scalable predictive capability models to help researchers and stakeholders decide which quantum computers to build and use. In this work, we propose a hardware-agnostic method to efficiently construct scalable predictive models of a quantum computer's capability for almost any class of circuits and demonstrate our method using convolutional neural networks (CNNs). Our CNN-based approach works by efficiently representing a circuit as a 3-D tensor and then using a CNN to predict its success rate. Our CNN capability models obtain approximately a 1% average absolute prediction error when modeling processors experiencing both Markovian and non-Markovian stochastic Pauli errors. We also apply our CNNs to model the capabilities of cloud-access quantum computing systems, obtaining moderate prediction accuracy (average absolute error around 2–5%), and we highlight the challenges to building better neural network capability models.","PeriodicalId":100644,"journal":{"name":"IEEE Transactions on Quantum Engineering","volume":"5 ","pages":"1-26"},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10603420","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0