Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum Architecture Search: A Survey
Darya Martyniuk, Johannes Jung, A. Paschke·Jun 10, 2024
Quantum computing has made significant progress in recent years, attracting immense interest not only in research laboratories but also in various industries. However, the application of quantum computing to solve real-world problems is still hampere...
Learning effective Hamiltonians for adaptive time-evolution quantum algorithms
Hongzheng Zhao, Ao Chen, Shu-Wei Liu +3 more·Jun 10, 2024
Digital quantum simulation of many-body dynamics relies on Trotterization to decompose the target time evolution into elementary quantum gates operating at a fixed equidistant time discretization. Recent advances have outlined protocols enabling more...
Applications and resource estimates for open system simulation on a quantum computer
E. Mozgunov, Jeffrey Marshall, Namit Anand·Jun 10, 2024
We present two applications where open system quantum simulation is the preferred approach on a quantum computer. We choose concrete parameters for the problems in such a way that the application value, which we call utility, can be obtained from the...
Buildung Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
Alona Sakhnenko, Julian Sikora, J. Lorenz·Jun 10, 2024
In this work, we are introducing a Quantum-Classical Bayesian Neural Network (QCBNN) that is capable to perform uncertainty-aware classification of classical medical dataset. This model is a symbiosis of a classical Convolutional NN that performs ult...
Comparative Study of Quantum Transpilers: Evaluating the Performance of Qiskit-Braket-Provider, qBraid-SDK, and Pytket Extensions
Mohamed Messaoud Louamri, N. Belaloui, Abdellah Tounsi +1 more·Jun 10, 2024
In this study, we present a comprehensive evaluation of popular SDK-to-SDK quantum transpilers (that is transpilers that takes a quantum circuit from an initial SDK and output a quantum circuit in another SDK), focusing on critical metrics such as co...
Quantum simulation of one-dimensional fermionic systems with Ising Hamiltonians
Matthias Werner, Artur Garc'ia-S'aez, M. Estarellas·Jun 10, 2024
In recent years, analog quantum simulators have reached unprecedented quality, both in qubit numbers and coherence times. Most of these simulators natively implement Ising-type Hamiltonians, which limits the class of models that can be simulated effi...
Enabling large-scale and high-precision fluid simulations on near-term quantum computers
Zhao-Yun Chen, Teng-Yang Ma, Chuang-Chao Ye +31 more·Jun 10, 2024
Quantum computational fluid dynamics (QCFD) offers a promising alternative to classical computational fluid dynamics (CFD) by leveraging quantum algorithms for higher efficiency. This paper introduces a comprehensive QCFD method, including an iterati...
Quantum equilibrium propagation for efficient training of quantum systems based on Onsager reciprocity
C. C. Wanjura, Florian Marquardt·Jun 10, 2024
The widespread adoption of machine learning and artificial intelligence in all branches of science and technology creates a need for energy-efficient, alternative hardware. While such neuromorphic systems have been demonstrated in a wide range of pla...
Quantum machine learning with canonical variables
J. Fuentes·Jun 10, 2024
Ion-trap quantum computers typically utilise electromagnetic fields to confine charged particles and execute quantum operations on qubits. However, gate-based and continuous-variable algorithms encounter challenges in terms of trainability and interp...
Identifying Bottlenecks of NISQ-Friendly HHL Algorithms
Marc Andreu Marfany, Alona Sakhnenko, J. Lorenz·Jun 10, 2024
Quantum computing promises enabling solving large problem instances, e.g. large linear equation systems with HHL algorithm, once the hardware stack matures. For the foreseeable future quantum computing will remain in the so-called NISQ era, in which ...
Quantum sparse coding and decoding based on quantum network
Xun Ji, Qin Liu, Shan Huang +2 more·Jun 10, 2024
Sparse coding provides a versatile framework for efficiently capturing and representing crucial data (information) concisely, which plays an essential role in various computer science fields, including data compression, feature extraction, and genera...
Speedup of high-order unconstrained binary optimization using quantum Z2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}
Bi-Ying Wang, Xiaopeng Cui, Qingguo Zeng +3 more·Jun 10, 2024
An important and difficult problem in optimization is the high-order unconstrained binary optimization, which can represent many optimization problems more efficiently than quadratic unconstrained binary optimization, but how to quickly solve it has ...
Quantifying fault tolerant simulation of strongly correlated systems using the Fermi-Hubbard model
Anjali A. Agrawal, J. Job, Tyler L. Wilson +8 more·Jun 10, 2024
Understanding the physics of strongly correlated materials is one of the grand challenge problems for physics today. A large class of scientifically interesting materials, from high-$T_c$ superconductors to spin liquids, involve medium to strong corr...
Variational Quantum Circuit Decoupling.
Ximing Wang, Chengran Yang, Mile Gu·Jun 9, 2024
Decoupling systems into independently evolving components has a long history of simplifying seemingly complex systems. They enable a better understanding of the underlying dynamics and causal structures while providing more efficient means to simulat...
A modular entanglement-based quantum computer architecture
Ferran Riera-Sàbat, W. Dür·Jun 9, 2024
We propose a modular quantum computation architecture based on utilizing multipartite entanglement. Each module consists of a small-scale quantum computer comprising data, memory and entangling qubits. Entangling qubits are used to selectively couple...
Simulating Parton Fragmentation on Quantum Computers
Tianyin Li, Hongxi Xing, Dan-Bo Zhang·Jun 9, 2024
Parton fragmentation functions (FFs) are indispensable for understanding processes of hadron production ubiquitously existing in high-energy collisions, but their first principle determination has never been realized due to the insurmountable difficu...
Field-based formalism for calculating multiqubit exchange-coupling rates for transmon qubits
Ghazi Khan, T. Roth·Jun 8, 2024
Superconducting qubits are one of the most mature platforms for quantum computing, but significant performance improvements are still needed. To improve the engineering of these systems, 3D full-wave computational electromagnetics analyses are increa...
Reliable Quantum Memories with Unreliable Components
A. K. Nayak, Eric Chitambar, L. Varshney·Jun 8, 2024
Quantum memory systems are vital in quantum information processing for dependable storage and retrieval of quantum states. Inspired by classical reliability theories that synthesize reliable computing systems from unreliable components, we formalize ...
Bipartite reweight-annealing algorithm of quantum Monte Carlo to extract large-scale data of entanglement entropy and its derivative
Zhe Wang, Zhiyan Wang, Yi-Ming Ding +2 more·Jun 8, 2024
Entanglement entropy (EE) plays a central role in the intersection of quantum information science and condensed matter physics. However, scanning the EE for two-dimensional and higher-dimensional systems still remains challenging. To address this cha...
Optimizing Gate Decomposition for High-Level Quantum Programming
E. Rosa, E. I. Duzzioni, R. Santiago·Jun 8, 2024
This paper presents novel methods for optimizing multi-controlled quantum gates, which naturally arise in high-level quantum programming. Our primary approach involves rewriting U(2) gates as SU(2) gates, utilizing one auxiliary qubit for phase corre...