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 Convolutional Neural Network with Flexible Stride
Kai-huan Yu, Song Lin, Bin-Bin Cai·Dec 1, 2024
Convolutional neural network is a crucial tool for machine learning, especially in the field of computer vision. Its unique structure and characteristics provide significant advantages in feature extraction. However, with the exponential growth of da...
Bringing Quantum Systems under Control: A Tutorial Invitation to Quantum Computing and Its Relation to Bilinear Control Systems
Julian Berberich, R. Kosut, Thomas Schulte-Herbrüggen·Dec 1, 2024
Quantum computing comes with the potential to push computational boundaries in various domains including, e.g., cryptography, simulation, optimization, and machine learning. Exploiting the principles of quantum mechanics, new algorithms can be develo...
Quantum simulation of the phase transition of the massive Thirring model
Jia-Qi Gong, Ji-Chong Yang·Dec 1, 2024
Recent advancements in quantum computing technology have enabled the study of fermionic systems at finite temperature via quantum simulations. This presents a novel approach to investigating the chiral phase transition in such systems. Among these, t...
A Quantum Computing Approach to Simulating Corrosion Inhibition
Karim Elgammal, Marc Maußner·Dec 1, 2024
This work demonstrates a systematic implementation of hybrid quantum-classical computational methods for investigating corrosion inhibition mechanisms on aluminum surfaces. We present an integrated workflow combining density functional theory (DFT) w...
Ptychographic estimation of pure multiqubit states in a quantum device
Warley M. S. Alves, L. Neves·Dec 1, 2024
Quantum ptychography is a method for estimating an unknown pure quantum state by subjecting it to overlapping projections, each one followed by a projective measurement on a single prescribed basis. Here, we present a comprehensive study of this meth...
Quantum thermalization of Quark-Gluon Plasma
Shile Chen, Li Yan, Shuzhe Shi·Dec 1, 2024
The thermalization of quark gluon plasma created in relativistic heavy-ion collisions is a crucial theoretical question in understanding the onset of hydrodynamics, and in a broad sense, a key step to the exploration of thermalization in isolated qua...
Algebraic approach to spacetime bulk reconstruction
Jason Crann, M. Kang·Nov 30, 2024
Motivated by the theory of holographic quantum error correction in the anti-de Sitter/conformal field theory (AdS/CFT) correspondence, together with the kink transform conjecture on the bulk AdS description of boundary cocycle flow, we characterize (...
Quantum algorithm for approximating the expected value of a random-exist quantified oracle
Caleb Rotello·Nov 30, 2024
Quantum amplitude amplification and estimation have shown quadratic speedups to unstructured search and estimation tasks. We show that a coherent combination of these quantum algorithms also provides a quadratic speedup to calculating the expectation...
Sphere Packing on a Quantum Computer for Chromatography Modeling
Benjamin Hall, Ian Njoroge, Colin Campbell +4 more·Nov 30, 2024
Column chromatography is an important process in downstream biopharmaceutical manufacturing that enables high-selectivity separation of proteins through various modalities, such as affinity, ion exchange, hydrophobic interactions, or a combination of...
Quantum Active Learning for Structural Determination of Doped Nanoparticles - A Case Study of 4Al@Si11
Maicon Pierre Lourenço, Mosayeb Naseri, Lizandra Barrios Herrera +4 more·Nov 30, 2024
Active learning (AL) has been widely applied in chemistry and materials science. In this work, we propose a quantum active learning (QAL) method for automatic structural determination of doped nanoparticles, where quantum machine learning (QML) model...
Variational quantum algorithm for non-Markovian quantum dynamics
Peter L. Walters, Mohammad U. Sherazi, Fei Wang·Nov 30, 2024
The simulation of non-Markovian quantum dynamics plays an important role in the understanding of charge and exciton dynamics in the condensed phase environment, and yet it remains computationally expensive on classical computers. We have developed a ...
Controller-decoder system requirements derived by implementing Shor's algorithm with surface code
Yaniv Kurman, Lior Ella, Nir Halay +2 more·Nov 29, 2024
Quantum Error Correction (QEC) is regarded as the most promising path to quantum advantage. The success of QEC relies on achieving quantum gate fidelities below the error threshold of the QEC code, while accurately decoding errors through classical p...
It's Quick to be Square: Fast Quadratisation for Quantum Toolchains
Lukas Schmidbauer, Elisabeth Lobe, Ina Schaefer +1 more·Nov 29, 2024
Many of the envisioned use-cases for quantum computers involve optimisation processes. While there are many algorithmic primitives to perform the required calculations, all eventually lead to quantum gates operating on quantum bits, with an order as ...
Unitary-transformed projective squeezing: applications for circuit-knitting and state-preparation of non-Gaussian states
Keitaro Anai, Yasunari Suzuki, Yuuki Tokunaga +3 more·Nov 29, 2024
Continuous-variable (CV) quantum computing is a promising candidate for quantum computation because it can, even with one mode, utilize infinite-dimensional Hilbert spaces and can efficiently handle continuous values. Although photonic platforms have...
Parametrized multiqubit gate design for neutral-atom based quantum platforms
M. Mohan, Julius de Hond, S. Kokkelmans·Nov 29, 2024
A clever choice and design of gate sets can reduce the depth of a quantum circuit, and can improve the quality of the solution one obtains from a quantum algorithm. This is especially important for near-term quantum computers that suffer from various...
Optimizing Quantum Embedding using Genetic Algorithm for QML Applications
Koustubh Phalak, Archisman Ghosh, Swaroop Ghosh·Nov 29, 2024
Quantum Embeddings (QE) is an important component of Quantum Machine Learning (QML) algorithms to load classical data present in Euclidean space onto quantum Hilbert space, which are then later forwarded to the Parametric Quantum Circuit (PQC) for tr...
Efficient quantum-enhanced classical simulation for patches of quantum landscapes
S. Lerch, Ricard Puig, M. S. Rudolph +5 more·Nov 29, 2024
Understanding the capabilities of classical simulation methods is key to identifying where quantum computers are advantageous. Not only does this ensure that quantum computers are used only where necessary, but also one can potentially identify subro...
qlbm - A quantum lattice Boltzmann software framework
Călin A. Georgescu, Merel A. Schalkers, Matthias Möller·Nov 29, 2024
We present qlbm, a Python software package designed to facilitate the development, simulation, and analysis of Quantum Lattice Boltzmann Methods (QBMs). qlbm is a modular framework that introduces a quantum component abstraction hierarchy tailored to...
Quantum computing architecture with trapped ion crystals and fast Rydberg gates
Han Bao, J. Vogel, U. Poschinger +1 more·Nov 29, 2024
Fast entangling gate operations are a fundamental prerequisite for quantum simulation and computation. We propose an entangling scheme for arbitrary pairs of ions in a linear crystal, harnessing the high electric polarizability of highly excited Rydb...
Graph state fission
Jorge Miguel-Ramiro, W. Dür·Nov 29, 2024
Graph states are a fundamental entanglement resource for multipartite quantum applications which are in general challenging to transform efficiently. While fusion operations for merging entangled states are well developed, no direct protocol exists f...