Papers
Live trends in quantum computing research, updated daily from arXiv.
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15,541 papers in 12 months (-3% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Application of Quantum Computers in Foreign Exchange Reserves Management
M. Vesel'y·Mar 29, 2022
The main purpose of this article is to evaluate possible applications of quantum computers in foreign exchange reserves management. The capabilities of quantum computers are demonstrated by means of risk measurement using the quantum Monte Carlo meth...
A Quantum-Inspired Tensor Network Algorithm for Constrained Combinatorial Optimization Problems
Tianyi Hao, Xuxin Huang, Chunjing Jia +1 more·Mar 29, 2022
Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial optimization problems. In this paper, we propose a q...
Adaptive Quantum State Tomography with Active Learning
Hannah Lange, Matjaž Kebrič, M. Buser +3 more·Mar 29, 2022
Recently, tremendous progress has been made in the field of quantum science and technologies: different platforms for quantum simulation as well as quantum computing, ranging from superconducting qubits to neutral atoms, are starting to reach unprece...
Quantum compiling with a variational instruction set for accurate and fast quantum computing
Yinghe Lu, P. Zhou, S. Fei +1 more·Mar 29, 2022
The quantum instruction set (QIS) is defined as the quantum gates that are physically realizable by controlling the qubits in quantum hardware. Compiling quantum circuits into the product of the gates in a properly defined QIS is a fundamental step i...
Classification of NEQR Processed Classical Images using Quantum Neural Networks (QNN)
Santanu Ganguly·Mar 29, 2022
- A quantum neural network (QNN) is interpreted today as any quantum circuit with trainable continuous parameters. This work builds on previous works by the authors and addresses QNN for image classification with Novel Enhanced Quantum Representation...
Modelling carbon capture on metal-organic frameworks with quantum computing
G. Greene‐Diniz, D. Manrique, Wassil Sennane +7 more·Mar 29, 2022
Despite the recent progress in quantum computational algorithms for chemistry, there is a dearth of quantum computational simulations focused on material science applications, especially for the energy sector, where next generation sorbing materials ...
A Practical and Scalable Decoder for Topological Quantum Error Correction with Digital Annealer
J. Fujisaki, H. Oshima, S. Sato +1 more·Mar 29, 2022
Quantum error correction is one of the most important milestones for realization of large-scale quantum computation. To achieve this, it is essential not only to integrate a large number of qubits with high fidelity, but also to build a scalable clas...
Optimizing the Production of Test Vehicles Using Hybrid Constrained Quantum Annealing
A. Glos, Akash Kundu, Özlem Salehi·Mar 29, 2022
Optimization of pre-production vehicle configurations is one of the challenges in the automotive industry. Given a list of tests requiring cars with certain features, it is desirable to find the minimum number of cars that cover the tests and obey th...
Quantum simulation beyond Hamiltonian paradigm: categorical quantum simulation
Yu-Jie Zhu·Mar 29, 2022
With the development of topological field theory, the mathematical tool of the tensor category was also introduced into physics. Traditional group theory corresponds to a special category,group category. Tensor categories can describe higher-order int...
From Asymptotic Freedom to θ Vacua: Qubit Embeddings of the O(3) Nonlinear σ Model.
S. Caspar, Hersh Singh·Mar 29, 2022
Conventional lattice formulations of θ vacua in the 1+1-dimensional O(3) nonlinear sigma model suffer from a sign problem. Here, we construct the first sign-problem-free regularization for arbitrary θ. Using efficient lattice Monte Carlo algorithms, ...
A Framework for Quantum Ray Tracing
Xi Lu, Ho-Chien Lin·Mar 29, 2022
Ray tracing algorithm simulates the physical movements of a huge amount of rays to render a high quality image, in which the tracing procedure for each ray can be implemented in parallel. By leveraging the inherent parallelism of quantum computing, w...
Local Variational Quantum Compilation of Large-Scale Hamiltonian Dynamics
Kaoru Mizuta, Yuya O. Nakagawa, K. Mitarai +1 more·Mar 29, 2022
Implementing time evolution operators on quantum circuits is important for quantum simulation. However, the standard way, Trotterization, requires a huge numbers of gates to achieve desirable accuracy. Here, we propose a local variational quantum com...
Hardware Efficient Quantum Simulation of Non-Abelian Gauge Theories with Qudits on Rydberg Platforms.
D. González-Cuadra, T. Zache, J. Carrasco +2 more·Mar 29, 2022
Non-Abelian gauge theories underlie our understanding of fundamental forces in nature, and developing tailored quantum hardware and algorithms to simulate them is an outstanding challenge in the rapidly evolving field of quantum simulation. Here we t...
Digital quantum simulation of non-perturbative dynamics of open systems with orthogonal polynomials
J. D. Guimarães, M. Vasilevskiy, L. S. Barbosa·Mar 28, 2022
Classical non-perturbative simulations of open quantum systems' dynamics face several scalability problems, namely, exponential scaling of the computational effort as a function of either the time length of the simulation or the size of the open syst...
Reference-State Error Mitigation: A Strategy for High Accuracy Quantum Computation of Chemistry
P. Lolur, Mårten Skogh, Christopher N. Warren +6 more·Mar 28, 2022
Decoherence and gate errors severely limit the capabilities of state-of-the-art quantum computers. This work introduces a strategy for reference-state error mitigation (REM) of quantum chemistry that can be straightforwardly implemented on current an...
A Quantum Algorithm for Solving Eigenproblem of the Laplacian Matrix of a Fully Connected Weighted Graph
Hailing Liu, Lin-Chun Wan, Chao-Hua Yu +4 more·Mar 28, 2022
Solving eigenproblem of the Laplacian matrix of a fully connected weighted graph has wide applications in data science, machine learning, and image processing, etc. However, this is very challenging because it involves expensive matrix operations. He...
Encoding trade-offs and design toolkits in quantum algorithms for discrete optimization: coloring, routing, scheduling, and other problems
Nicolas P. D. Sawaya, A. Schmitz, Stuart Hadfield·Mar 28, 2022
Challenging combinatorial optimization problems are ubiquitous in science and engineering. Several quantum methods for optimization have recently been developed, in different settings including both exact and approximate solvers. Addressing this fiel...
Quantum Genetic Algorithm With Individuals in Multiple Registers
Rubén Ibarrondo, G. Gatti, M. Sanz·Mar 28, 2022
Genetic algorithms (GAs) are heuristic optimization techniques inspired by Darwinian evolution, which are characterized by successfully finding robust solutions for optimization problems. While quantum resources have allowed for the acceleration of m...
Observing and braiding topological Majorana modes on programmable quantum simulators
N. Harle, O. Shtanko, R. Movassagh·Mar 28, 2022
Electrons are indivisible elementary particles, yet paradoxically a collection of them can act as a fraction of a single electron, exhibiting exotic and useful properties. One such collective excitation, known as a topological Majorana mode, is natur...
Variational quantum simulation of long-range interacting systems
Chufan Lyu, Xiaoyue Tang, Junning Li +3 more·Mar 27, 2022
Current quantum simulators suffer from multiple limitations such as short coherence time, noisy operations, faulty readout and restricted qubit connectivity in some platforms. Variational quantum algorithms are the most promising approach in near-ter...