Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches
Y. Cordero, S. Biswas, F. Vilariño +1 more·Jul 8, 2024
Quantum machine learning (QML) investigates how quantum phenomena can be exploited in order to learn data in an alternative way, \textit{e.g.} by means of a quantum computer. While recent results evidence that QML models can potentially surpass their...
Complexification of Quantum Signal Processing and its Ramifications
V. M. Bastidas, K. J. Joven·Jul 5, 2024
In recent years there has been an increasing interest on the theoretical and experimental investigation of space-time dual quantum circuits. They exhibit unique properties and have applications to diverse fields. Periodic space-time dual quantum circ...
Benchmarking variational quantum eigensolvers for entanglement detection in many-body Hamiltonian ground states
Alexandre Drinko, G. I. Correr, Ivan Medina +3 more·Jul 5, 2024
Variational quantum algorithms (VQAs) have emerged in recent years as a promise to obtain quantum advantage. These task-oriented algorithms work in a hybrid loop combining a quantum processor and classical optimization. Using a specific class of VQA ...
Modelling Quantum Transduction for Multipartite Entanglement Distribution
Laura d'Avossa, Angela Sara Cacciapuoti, Marcello Caleffi·Jul 4, 2024
Superconducting and photonic technologies are envisioned to play a key role in the Quantum Internet. However the hybridization of these technologies requires functional quantum transducers for converting superconducting qubits, exploited in quantum c...
Hybrid Quantum-Classical Machine Learning with String Diagrams
Alexander Koziell-Pipe, A. Kissinger·Jul 4, 2024
Central to near-term quantum machine learning is the use of hybrid quantum-classical algorithms. This paper develops a formal framework for describing these algorithms in terms of string diagrams: a key step towards integrating these hybrid algorithm...
Accelerating quantum imaginary-time evolution with random measurements
Ioannis Kolotouros, David Joseph, Anand Kumar Narayanan·Jul 3, 2024
Quantum imaginary-time evolution (QITE) is a promising tool to prepare thermal or ground states of Hamiltonians, as convergence is guaranteed when the evolved state overlaps with the ground state. However, its implementation using a a hybrid quantum-...
Numerical solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational quantum algorithm
Nikolas Köcher, Hendrik Rose, Sachin S. Bharadwaj +2 more·Jul 3, 2024
The time-dependent one-dimensional nonlinear Schrödinger equation (NLSE) is solved numerically by a hybrid pseudospectral-variational quantum algorithm that connects a pseudospectral step for the Hamiltonian term with a variational step for the nonli...
Anomaly Detection for Real-World Cyber-Physical Security Using Quantum Hybrid Support Vector Machines
Tyler Cultice, Md. Saif Hassan Onim, A. Giani +1 more·Jul 1, 2024
Cyber-physical control systems are critical infrastructures designed around highly responsive feedback loops that are measured and manipulated by hundreds of sensors and controllers. Anomalous data, such as from cyber-attacks, greatly risk the safety...
Hybrid quantum-classical clustering for preparing a prior distribution of eigenspectrum
Mengzhen Ren, Yu-Cheng Chen, Ching-Jui Lai +2 more·Jun 29, 2024
Determining the energy gap in a quantum many-body system is critical to understanding its behavior and is important in quantum chemistry and condensed matter physics. The challenge of determining the energy gap requires identifying both the excited a...
Determination of the current-phase relation of an InAs 2DEG Josephson junction with a microwave resonator
Zoltán Scherübl, Máté Sütő, Dávid Kóti +10 more·Jun 28, 2024
Semiconductor-superconductor hybrid nanocircuits are of high interest because of their potential applications in quantum computing. Semiconductors with strong spin-orbit coupling and large g factor are particularly attractive since they are the basic...
A comment on comparing optimization on D-Wave and IBM quantum processors
Catherine C. McGeoch, Kevin Chern, Pau Farr'e +1 more·Jun 27, 2024
Recent work [Sachdeva et al.] presented an iterative hybrid quantum variational optimization algorithm designed by Q-CTRL and executed on IBM gate-based quantum processing units (QPUs), claiming a significant performance advantage against a D-Wave qu...
Quantum computing for corrosion-resistant materials and anti-corrosive coatings design
Nam Nguyen, Thomas W. Watts, Benjamin Link +14 more·Jun 26, 2024
Corrosion is a pervasive issue that impacts the structural integrity and performance of materials across various industries, imposing a significant economic impact globally. In fields like aerospace and defense, developing corrosion-resistant materia...
Scalable tomography of many-body quantum environments with low temporal entanglement
I. Luchnikov, Michael Sonner, D. Abanin·Jun 26, 2024
Describing dynamics of a quantum system coupled to a complex many-body environment is a ubiquitous problem in quantum science. General non-Markovian environments are characterized by their influence matrix~(IM) -- a multi-time tensor arising from rep...
MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework
Xusheng Xu, Jiangyu Cui, Zidong Cui +36 more·Jun 25, 2024
We introduce MindSpore Quantum, a pioneering hybrid quantum-classical framework with a primary focus on the design and implementation of noisy intermediate-scale quantum (NISQ) algorithms. Leveraging the robust support of MindSpore, an advanced open-...
A hybrid quantum-classical framework for computational fluid dynamics
Chuang-Chao Ye, Ning An, Teng-Yang Ma +5 more·Jun 24, 2024
Recent advancements in quantum computing provide opportunities to address the challenges of computational resource limitations in computational fluid dynamics (CFD). This work presents a hybrid quantum-classical CFD framework that leverages quantum l...
Validity condition for high-fidelity digitized quantum annealing
Alan C. Santos·Jun 24, 2024
Digitizing an adiabatic evolution is a strategy able to combine the good performance of gate-based quantum processors with the advantages of adiabatic algorithms, providing then a hybrid model for efficient quantum information processing. In this wor...
Promise of Graph Sparsification and Decomposition for Noise Reduction in QAOA: Analysis for Trapped-Ion Compilations
Jai Moondra, Philip C. Lotshaw, Greg Mohler +1 more·Jun 20, 2024
We develop new approximate compilation schemes that significantly reduce the expense of compiling the Quantum Approximate Optimization Algorithm (QAOA) for solving the Max-Cut problem. Our main focus is on compilation with trapped-ion simulators usin...
Variational-Cartan Quantum Dynamics Simulations of Excitation Dynamics
L. Wan, Jie Liu, Zhenyu Li +1 more·Jun 20, 2024
Quantum dynamics simulations (QDSs) are one of the most highly anticipated applications of quantum computing. Quantum circuit depth for implementing Hamiltonian simulation algorithms is commonly time dependent so that long time dynamics simulations b...
A Survey of Methods for Mitigating Barren Plateaus for Parameterized Quantum Circuits
Michelle Gelman·Jun 20, 2024
Barren Plateaus are a formidable challenge for hybrid quantum-classical algorithms that lead to flat plateaus in the loss function landscape making it difficult to take advantage of the expressive power of parameterized quantum circuits with gradient...
Bayesian Optimization Priors for Efficient Variational Quantum Algorithms
Farshud Sorourifar, Diana Chamaki, N. Tubman +2 more·Jun 20, 2024
Quantum computers currently rely on a hybrid quantum-classical approach known as Variational Quantum Algorithms (VQAs) to solve problems. Still, there are several challenges with VQAs on the classical computing side: it corresponds to a black-box opt...