Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Adaptive Quantum Optimized Centroid Initialization
Nicholas R. Allgood, Ajinkya Borle, Charles K. Nicholas·Jan 20, 2024
Prototype-based clustering algorithms such as k-means are sensitive to the selection of initial cluster centroids, with poor initialization leading to slower convergence and suboptimal solutions trapped in local minima. We present Adaptive Quantum Op...
Benchmarking hybrid digitized-counterdiabatic quantum optimization
Ruoqian Xu, Jialiang Tang, P. Chandarana +4 more·Jan 18, 2024
Hybrid digitized-counterdiabatic quantum computing (DCQC) is a promising approach for leveraging the capabilities of near-term quantum computers, utilizing parameterized quantum circuits designed with counterdiabatic protocols. However, the classical...
Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms
Yunsoo Ha, Sara Shashaani, M. Menickelly·Jan 17, 2024
The quantum approximate optimization algorithm (QAOA) has enjoyed increasing attention in noisy, intermediate-scale quantum computing with its application to combinatorial optimization problems. QAOA has the potential to demonstrate a quantum advanta...
Success probabilities in time-reversal-based hybrid quantum state transfer
Kevin Randles, S. J. van Enk·Jan 16, 2024
We consider two memory nodes of a quantum network connected by flying qubits. We are particularly interested in the case where a flying qubit produced by one node has to be transformed before it can interface efficiently with the next node. Such tran...
Quantum transfer learning for acceptability judgements
G. Buonaiuto, Raffaele Guarasci, Aniello Minutolo +2 more·Jan 15, 2024
Hybrid quantum-classical classifiers promise to positively impact critical aspects of natural language processing tasks, particularly classification-related ones. Among the possibilities currently investigated, quantum transfer learning, i.e., using ...
Quantum Advantage Actor-Critic for Reinforcement Learning
Michael Kolle, Mohamad Hgog, Fabian Ritz +4 more·Jan 13, 2024
Quantum computing offers efficient encapsulation of high-dimensional states. In this work, we propose a novel quantum reinforcement learning approach that combines the Advantage Actor-Critic algorithm with variational quantum circuits by substituting...
Digital–analog quantum learning on Rydberg atom arrays
Jonathan Z Lu, Lucy Jiao, Kristina Wolinski +6 more·Jan 5, 2024
We propose hybrid digital–analog (DA) learning algorithms on Rydberg atom arrays, combining the potentially practical utility and near-term realizability of quantum learning with the rapidly scaling architectures of neutral atoms. Our construction re...
Ground state energy and magnetization curve of a frustrated magnetic system from real-time evolution on a digital quantum processor
A. Szasz, Ed Younis, W. A. Jong·Jan 5, 2024
Models of interacting many-body quantum systems that may realize new exotic phases of matter, notably quantum spin liquids, are challenging to study using even state-of-the-art classical methods such as tensor network simulations. Quantum computing p...
Matrix product state ansatz for the variational quantum solution of the Heisenberg model on Kagome geometries
Younes Javanmard, Ugne Liaubaite, Tobias J. Osborne +2 more·Jan 4, 2024
The Variational Quantum Eigensolver (VQE) algorithm, as applied to finding the ground state of a Hamiltonian, is particularly well-suited for deployment on noisy intermediate-scale quantum (NISQ) devices. Here, we utilize the VQE algorithm with a qua...
Fault-Tolerant Quantum Computation by Hybrid Qubits with Bosonic Cat Code and Single Photons
Jaehak Lee, Nuri Kang, Seok-Hyung Lee +3 more·Dec 31, 2023
Hybridizing different degrees of freedom or physical platforms potentially offers various advantages in building scalable quantum architectures. Here, we introduce a fault-tolerant hybrid quantum computation by building on the advantages of both disc...
Two quantum algorithms for solving the one-dimensional advection-diffusion equation
Julia Ingelmann, Sachin S. Bharadwaj, Philip R. Pfeffer +2 more·Dec 30, 2023
Two quantum algorithms are presented for the numerical solution of a linear one-dimensional advection-diffusion equation with periodic boundary conditions. Their accuracy and performance with increasing qubit number are compared point-by-point with e...
The lower energy consumption in cryptocurrency mining processes by SHA-256 Quantum circuit design used in hybrid computing domains
A. Orun, Fatih Kurugollu·Dec 30, 2023
Cryptocurrency mining processes always lead to a high energy consumption at considerably high production cost, which is nearly one-third of cryptocurrency (e.g. Bitcoin) price itself. As the core of mining process is based on SHA-256 cryptographic ha...
Hybrid Quantum Cycle Generative Adversarial Network for Small Molecule Generation
M. Anoshin, A. Sagingalieva, C. Mansell +4 more·Dec 28, 2023
The drug design process currently requires considerable time and resources to develop each new compound that enters the market. This work develops an application of hybrid quantum generative models based on the integration of parameterized quantum ci...
Large-Area Spatially Ordered Mesa Top Single Quantum Dots: Suitable Single Photon Emitters for On-Chip Integrated Quantum Information Processing Platforms
Qi Huang, Lucas Jordao, Siyuan Lu +3 more·Dec 23, 2023
Realization of the long sought on-chip scalable photonic quantum information processing networks has been thwarted by the absence of spatially-ordered and scalable on-demand single photon emitters with emission figures-of-merit exceeding the required...
Occupation-number quantum-subspace-expansion approach to computing the single-particle Green function: An opportunity for noise filtering
B. Gauthier, P. Rosenberg, A. Foley +1 more·Dec 21, 2023
We introduce a hybrid quantum-classical algorithm to compute the Green function for strongly correlated electrons on noisy intermediate-scale quantum (NISQ) devices. The technique consists in the construction of a non-orthogonal excitation basis comp...
Investigating Techniques to Optimise the Layout of Turbines in a Windfarm Using a Quantum Computer
James Hancock, Matthew J. Craven, C. McNeile +1 more·Dec 20, 2023
This paper investigates Windfarm Layout Optimization (WFLO), where we formulate turbine placement considering wake effects as a Quadratic Unconstrained Binary Optimization (QUBO) problem. Wind energy plays a critical role in the transition toward sus...
Challenges for Reinforcement Learning in Quantum Circuit Design
Philipp Altmann, Jonas Stein, Michael Kolle +5 more·Dec 18, 2023
Quantum computing (QC) in the current NISQ era is still limited in size and precision. Hybrid applications mitigating those shortcomings are prevalent to gain early insight and advantages. Hybrid quantum machine learning (QML) comprises both the appl...
Efficient quantum simulation of nonlinear interactions using SNAP and Rabi gates
Kimin Park, P. Marek, R. Filip·Dec 15, 2023
Quantum simulations provide means to probe challenging problems within controllable quantum systems. However, implementing or simulating deep-strong nonlinear couplings between bosonic oscillators on physical platforms remains a challenge. We present...
Secure and Efficient Entanglement Distribution Protocols for Near-Term Quantum Internet
Nicholas Skjellum, Mohamed Shaban, Muhammad Ismail·Dec 10, 2023
Quantum information technology has the potential to revolutionize computing, communications, and security. To fully realize its potential, quantum processors with millions of qubits are needed, which are still far from being accomplished. Thus, it is...
A generalized framework for quantum state discrimination, hybrid algorithms, and the quantum change point problem
Ankith Mohan, Jamie Sikora, Sarvagya Upadhyay·Dec 7, 2023
Quantum state discrimination is a central task in many quantum computing settings where one wishes to identify what quantum state they are holding. We introduce a framework that generalizes many of its variants and present a hybrid quantum-classical ...