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Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Engineering the nonlinearity of bosonic modes with a multiloop SQUID
Ziyue Hua, Yifang Xu, Weiting Wang +8 more·Oct 9, 2024
Engineering high-order nonlinearities while suppressing lower-order terms is crucial for quantum error correction and state control in bosonic systems, yet it remains an outstanding challenge. Here, we introduce a general framework of Nonlinearity-En...
Near-Optimal-Time Quantum Algorithms for Approximate Pattern Matching
Tomasz Kociumaka, Jakob Nogler, Philip Wellnitz·Oct 9, 2024
Approximate Pattern Matching is among the most fundamental string-processing tasks. Given a text $T$ of length $n$, a pattern $P$ of length $m$, and a threshold $k$, the task is to identify the fragments of $T$ that are at distance at most $k$ to $P$...
Variational approach to photonic quantum circuits via the parameter shift rule
Francesco Hoch, G. Rodari, Taira Giordani +9 more·Oct 9, 2024
In the era of noisy intermediate-scale quantum computers, variational quantum algorithms are promising approaches for solving optimization tasks by training parameterized quantum circuits with the aid of classical routines informed by quantum measure...
Symmetry-enhanced counterdiabatic quantum algorithm for qudits
Alberto Bottarelli, Mikel Garcia de Andoin, P. Chandarana +4 more·Oct 9, 2024
Qubit-based variational quantum algorithms have undergone rapid development in recent years but still face several challenges. Here, we introduce a symmetry-based enhancement to digitized counterdiabatic quantum algorithms, applicable for qudits of a...
A QUBO Formulation for the Generalized LinkedIn Queens and Takuzu/Tango Game
Alejandro Mata Ali, Edgar Mencia·Oct 8, 2024
In this paper, we present a QUBO formulation designed to solve a series of generalisations of the LinkedIn queens game, a version of the N-queens problem, for the Takuzu game (or Binairo), for the most recent LinkedIn game, Tango, and for its general...
Experimental Realization of Direct Entangling Gates between Dual-Type Qubits.
Chenxi Wang, Chuanxin Huang, Hongxuan Zhang +6 more·Oct 8, 2024
Dual-type qubits have become a promising way to suppress the crosstalk error of auxiliary operations in large-scale ion trap quantum computation. Here we demonstrate a direct entangling gate between dual-type qubits encoded in the S_{1/2} and D_{5/2}...
Explicit Quantum Circuit for Simulating the Advection–Diffusion–Reaction Dynamics
Claudio Sanavio, Enea Mauri, Sauro Succi·Oct 8, 2024
We assess the convergence of the Carleman linearization of advection–diffusion–reaction (ADR) equations with a logistic nonlinearity. It is shown that five Carleman iterates provide a satisfactory approximation of the original ADR across a broad rang...
Compressed Space Quantum Approximate Optimization Algorithm for Constrained Combinatorial Optimization
T. Shirai, N. Togawa·Oct 8, 2024
Combinatorial optimization is a promising area for achieving quantum speedup. The quantum approximate optimization algorithm (QAOA) is designed to search for low-energy states of the Ising model, which correspond to near-optimal solutions of combinat...
Observation of disorder-free localization using a (2+1)D lattice gauge theory on a quantum processor
Gaurav Gyawali, Shashwat Kumar, Y. Lensky +219 more·Oct 8, 2024
Disorder-induced phenomena in quantum many-body systems pose significant challenges for analytical methods and numerical simulations at relevant time and system scales. To reduce the cost of disorder-sampling, we investigate quantum circuits initiali...
Fast Phase Factor Finding for Quantum Signal Processing
Hongkang Ni, Lexing Ying·Oct 8, 2024
This paper presents two efficient and stable algorithms for recovering phase factors in quantum signal processing (QSP), a crucial component of many quantum algorithms. The first algorithm, the ``Half Cholesky"method, which is based on nonlinear Four...
N-qubit universal quantum logic with a photonic qudit and O(N) linear optics elements
A. Delteil·Oct 8, 2024
High-dimensional quantum units of information, or qudits, can carry more than one quantum bit of information in a single degree of freedom and can, therefore, be used to boost the performance of quantum communication and quantum computation protocols...
A practical applicable quantum–classical hybrid ant colony algorithm for the NISQ era
Qian Qiu, Liang Zhang, Mohan Wu +4 more·Oct 8, 2024
Quantum ant colony optimization (QACO) has drew much attention since it combines the advantages of quantum computing and ant colony optimization (ACO) algorithm overcoming some limitations of the traditional ACO algorithm. However, due to the hardwar...
Integrated Encoding and Quantization to Enhance Quanvolutional Neural Networks
Daniele Lizzio Bosco, Beatrice Portelli, Giuseppe Serra·Oct 8, 2024
Image processing is one of the most promising applications for quantum machine learning. Quanvolutional neural networks with nontrainable parameters are the preferred solution to run on current and near future quantum devices. The typical input prepr...
Quantum Error Propagation
E. Sultanow, Fation Selimllari, Siddhant Dutta +3 more·Oct 7, 2024
Data poisoning attacks on machine learning models aim to manipulate the data used for model training such that the trained model behaves in the attacker's favour. In classical models such as deep neural networks, large chains of dot products do indee...
Double-Logarithmic Depth Block-Encodings of Simple Finite Difference Method's Matrices
Sunheang Ty, R. Vilmart, A. Tahmasebimoradi +1 more·Oct 7, 2024
Solving differential equations is one of the most computationally expensive problems in classical computing, occupying the vast majority of high-performance computing resources devoted towards practical applications in various fields of science and e...
Error-Correcting Codes in TQFT on Multispheres
Rafael Chaves, D. Melnikov, M. Neves +2 more·Oct 7, 2024
Topological quantum field theories (TQFT) encode quantum correlations in topological features of spaces. In this work, we leverage this feature to explore how information encoded in TQFTs can be stored and retrieved in the presence of local decoheren...
Positive Bias Makes Tensor-Network Contraction Tractable
Jiaqing Jiang, Jielun Chen, Norbert Schuch +1 more·Oct 7, 2024
Tensor network contraction is a powerful computational tool in quantum many-body physics, quantum information and quantum chemistry. The complexity of contracting a tensor network is thought to mainly depend on its entanglement properties, as reflect...
Generalization of Modular Spread Complexity for Non-Hermitian Density Matrices
Aneek Jana, Maitri Ganguli·Oct 7, 2024
In this work we generalize the concept of modular spread complexity to the cases where the reduced density matrix is non-Hermitian. This notion of complexity and associated Lanczos coefficients contain richer information than the pseudo-entropy, whic...
Analyzing the quantum approximate optimization algorithm: ans\"atze, symmetries, and Lie algebras
Sujay Kazi, Martín Larocca, Marco Farinati +3 more·Oct 7, 2024
The Quantum Approximate Optimization Algorithm (QAOA) has been proposed as a method to obtain approximate solutions for combinatorial optimization tasks. In this work, we study the underlying algebraic properties of three QAOA ans\"atze for the maxim...
Generalised Quantum Gates for Qudits and their Application in Quantum Fourier Transform
Francesco Pudda, M. Chizzini, L. Crippa·Oct 7, 2024
Quantum computing with qudits, quantum systems with $d>2$ levels, offers a powerful extension beyond qubits, expanding the computational possibilities of quantum systems, allowing the simplification of the implementation of several algorithms and, po...