Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A Review of Quantum Scientific Computing Algorithms for Engineering Problems
O. M. Raisuddin, Suvranu De·Aug 25, 2024
Quantum computing, leveraging quantum phenomena like superposition and entanglement, is emerging as a transformative force in computing technology, promising unparalleled computational speed and efficiency crucial for engineering applications. This a...
Verifiable cloud-based variational quantum algorithms
Junhong Yang, Banghai Wang, Junyu Quan +1 more·Aug 25, 2024
Variational quantum algorithms (VQAs) have shown potential for quantum advantage with noisy intermediate-scale quantum (NISQ) devices for quantum machine learning (QML). However, given the high cost and limited availability of quantum resources, dele...
Quantum-Powered Personalized Learning
Yifan Zhou, C. Xu, Mingi Song +1 more·Aug 25, 2024
This paper explores the transformative potential of quantum computing in the realm of personalized learning. Traditional machine learning models and GPU-based approaches have long been utilized to tailor educational experiences to individual student ...
Entanglement-induced exponential advantage in amplitude estimation via state matrixization
Zhong-Xia Shang, Qi Zhao·Aug 25, 2024
Estimating quantum amplitude, or the overlap between two quantum states, is a fundamental task in quantum computing and underpins numerous quantum algorithms. In this work, we introduce a novel algorithmic framework for quantum amplitude estimation b...
Robust optimal control for a systematic error in the control amplitude of transmon qubits
Max Cykiert, E. Ginossar·Aug 24, 2024
In the era of Noisy Intermediate-Scale Quantum computing as well as in error correcting circuits, physical qubits coherence time and high fidelity gates are essential to the functioning of quantum computers. In this paper, we demonstrate theoreticall...
Quantum error correction below the surface code threshold
R. Acharya, Laleh Aghababaie-Beni, I. Aleiner +246 more·Aug 24, 2024
Quantum error correction1, 2, 3–4 provides a path to reach practical quantum computing by combining multiple physical qubits into a logical qubit, in which the logical error rate is suppressed exponentially as more qubits are added. However, this exp...
Grover Adaptive Search for Maximum Likelihood Detection of Generalized Spatial Modulation
Kein Yukiyoshi, Taku Mikuriya, H. Rou +2 more·Aug 24, 2024
We propose a quantum-assisted solution for the maximum likelihood detection (MLD) of generalized spatial modulation (GSM) signals. Specifically, the MLD of GSM is first formulated as a novel polynomial optimization problem, followed by the applicatio...
Quantum Rainbow Codes: Achieving Linear Rate, Growing Distance and Transversal Non-Clifford Gates with Generalised Colour Codes
Thomas R. Scruby, Arthur Pesah, Mark Webster·Aug 23, 2024
We introduce rainbow codes, a novel class of quantum error correcting codes generalising colour codes and pin codes. Rainbow codes can be defined on any $D$-dimensional simplicial complex that admits a valid $(D + 1)$-colouring of its $0$-simplices. ...
ReCon: Reconfiguring Analog Rydberg Atom Quantum Computers for Quantum Generative Adversarial Networks
Nicholas S. DiBrita, Daniel Leeds, Yuqian Huo +2 more·Aug 23, 2024
Quantum computing has shown theoretical promise of speedup in several machine learning tasks, including generative tasks using generative adversarial networks (GANs). While quantum computers have been implemented with different types of technologies,...
Empirical power of quantum encoding methods for binary classification
G. Luca, Andrew Vlasic, Michael Vitz +1 more·Aug 23, 2024
Quantum machine learning is one of the many potential applications of quantum computing, each of which is hoped to provide some novel computational advantage. However, quantum machine learning applications often fail to outperform classical approache...
Single-qubit rotations on a binomial code without ancillary qubits
Yuki Tanaka, Yuichiro Mori, Yuta Shingu +3 more·Aug 23, 2024
Great attention has been paid to binomial codes utilizing bosonic systems as logical qubits with error correction capabilities. However, implementing single-qubit rotation operations on binomial codes has proven challenging, requiring an ancillary qu...
Towards a Resource-Optimized Dynamic Quantum Algorithm via Non-iterative Auxiliary Subspace Corrections
Chayan Patra, Debaarjun Mukherjee, Sonaldeep Halder +2 more·Aug 23, 2024
Recent quantum algorithms pertaining to electronic structure theory primarily focus on threshold-based dynamic construction of ansatz by selectively including important many-body operators. These methods can be made systematically more accurate by tu...
Benchmarking the performance of a high-Q cavity qudit using random unitaries
N. Bornman, Tanay Roy, Joshua A. Job +4 more·Aug 23, 2024
High-coherence cavity resonators are excellent resources for encoding quantum information in higher-dimensional Hilbert spaces, moving beyond traditional qubit-based platforms. A natural strategy is to use the Fock basis to encode information in qudi...
Ancilla-entangling Floquet kicks for accelerating quantum algorithms
C.C.-Joseph Wang, Phillip C. Lotshaw, Titus Morris +3 more·Aug 23, 2024
Quantum simulation with adiabatic annealing can provide insight into difficult problems that are impossible to study with classical computers. However, it deteriorates when the systems scale up due to the shrinkage of the excitation gap and thus plac...
Optimal Quantum Circuit Design via Unitary Neural Networks
M. Zomorodi, H. Amini, M. Abbaszadeh +3 more·Aug 23, 2024
The process of translating a quantum algorithm into a form suitable for implementation on a quantum computing platform is crucial but yet challenging. This entails specifying quantum operations with precision, a typically intricate task. In this pape...
QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa +2 more·Aug 23, 2024
In the present noisy intermediate scale quantum computing era, there is a critical need to devise methods for the efficient implementation of gate-based variational quantum circuits. This ensures that a range of proposed applications can be deployed ...
QuCLEAR: Clifford Extraction and Absorption for Quantum Circuit Optimization
Ji Liu, A. Gonzales, Benchen Huang +2 more·Aug 23, 2024
Quantum computing carries significant potential for addressing practical problems. However, currently available quantum devices suffer from noisy quantum gates, which degrade the fidelity of executed quantum circuits. Therefore, quantum circuit optim...
Gravitational-wave matched filtering with variational quantum algorithms
J. Pye, Edric Matwiejew, Aidan Smith +3 more·Aug 23, 2024
In this paper, we explore the application of variational quantum algorithms designed for classical optimization to the problem of matched filtering in the detection of gravitational waves. Matched filtering for detecting gravitational wave signals re...
Modified recursive QAOA for exact MAX-CUT solutions on bipartite graphs: closing the gap beyond QAOA limit
Eunok Bae, Hyukjoon Kwon, V. Vijendran +1 more·Aug 23, 2024
Quantum approximate optimization algorithm (QAOA) is a quantum–classical hybrid algorithm proposed with the goal of approximately solving combinatorial optimization problems such as the MAX-CUT problem. It has been considered a potential candidate fo...
Quantum Convolutional Neural Networks are Effectively Classically Simulable
Pablo Bermejo, Paolo Braccia, Manuel S. Rudolph +3 more·Aug 22, 2024
Quantum Convolutional Neural Networks (QCNNs) are widely regarded as a promising model for Quantum Machine Learning (QML). In this work we tie their heuristic success to two facts. First, that when randomly initialized, they can only operate on the i...