Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Feedback Intensity Equalization Algorithm for Multi-Spots Holographic Tweezer
Shaoxiong Wang, Yifei Hu, Yaoting Zhou +2 more·Jul 24, 2024
High degree of adjustability enables the holographic tweezer array a versatile platform for creating an arbitrary geometrical atomic array. In holographic tweezer array experiments, an optical tweezer generated by a spatial light modulator (SLM) usua...
Surrogate-guided optimization in quantum networks
Luise Prielinger, Á. G. Iñesta, Gayane Vardoyan·Jul 24, 2024
When physical architectures become too complex for analytical study, numerical simulation proves essential to investigate quantum network behavior. Although highly informative, these simulations involve intricate numerical functions without known ana...
Solving the travelling salesman problem using Bloch sphere encoding
Kapil Goswami, Gagan Anekonda Veereshi, P. Schmelcher +1 more·Jul 24, 2024
The travelling salesman problem (TSP) is a popular NP-hard combinatorial optimization problem that requires finding the optimal way for a salesman to travel through different cities once and return to the initial city. The existing methods of solving...
Speeding Up Quantum Measurement Using Space-Time Trade-Off.
Christopher Corlett, Ieva ˇCepait˙e, A. Daley +5 more·Jul 24, 2024
We present a scheme for speeding up quantum measurement. The scheme builds on previous protocols that entangle the system to be measured with ancillary systems. In the idealized situation of perfect entangling operations and no decoherence, it gives ...
Quantum Algorithms for Representation-Theoretic Multiplicities.
Martín Larocca, Vojtěch Havlíček·Jul 24, 2024
Kostka, Littlewood-Richardson, Plethysm, and Kronecker coefficients are the multiplicities of irreducible representations in the decomposition of representations of the symmetric group that play an important role in representation theory, geometric c...
The Questionable Influence of Entanglement in Quantum Optimisation Algorithms
Tobias Rohe, Daniëlle Schuman, Jonas Nusslein +3 more·Jul 24, 2024
The performance of the Variational Quantum Eigen-solver (VQE) is promising compared to other quantum algorithms, but also depends significantly on the appropriate design of the underlying quantum circuit. Recent research by Bowles, Ahmend & Schuld, 2...
Systematic study of High $E_J/E_C$ transmon qudits up to $d = 12$
Z. Wang, R. Parker, E. Champion +1 more·Jul 24, 2024
Qudits provide a resource-efficient alternative to qubits for quantum information processing. The multilevel nature of the transmon, with its individually resolvable transition frequencies, makes it an attractive platform for superconducting circuit-...
Qudit Quantum Programming with Projective Cliffords
Jennifer Paykin, Sam Winnick·Jul 23, 2024
This paper introduces a novel abstraction for programming quantum operations, specifically projective Cliffords, as functions over the qudit Pauli group. Generalizing the idea behind Pauli tableaux, we introduce a type system and lambda calculus for ...
Entanglement dynamics from universal low-lying modes
Shreya Vardhan, Sanjay Moudgalya·Jul 23, 2024
Information-theoretic quantities such as Renyi entropies show a remarkable universality in their late-time behaviour across a variety of chaotic many-body systems. Understanding how such common features emerge from very different microscopic dynamics...
Backdoor Attacks against Hybrid Classical-Quantum Neural Networks
Ji Guo, Wenbo Jiang, Rui Zhang +3 more·Jul 23, 2024
Hybrid Quantum Neural Networks (HQNNs) represent a promising advancement in Quantum Machine Learning (QML), yet their security has been rarely explored. In this paper, we present the first systematic study of backdoor attacks on HQNNs. We begin by pr...
Quantum memory based on concatenating surface codes and quantum Hamming codes
Menglong Fang, Daiqin Su·Jul 23, 2024
Designing quantum error correcting codes that promise a high error threshold, low resource overhead and efficient decoding algorithms is crucial to achieve large-scale fault-tolerant quantum computation. The concatenated quantum Hamming code is one o...
Accelerated Quantum Amplitude Estimation without QFT
Alet Roux, T. Zastawniak·Jul 23, 2024
We put forward a Quantum Amplitude Estimation algorithm delivering superior performance (lower quantum computational complexity and faster classical computation parts) compared to the approaches available to-date. The algorithm does not relay on the ...
Variational quantum algorithm based on Lagrange polynomial encoding to solve differential equations
Josephine Hunout, Sylvain Laizet, L. Iannucci·Jul 23, 2024
Differential equations (DEs) serve as the cornerstone for a wide range of scientific endeavors, their solutions weaving through the core of diverse fields such as structural engineering, fluid dynamics, and financial modeling. DEs are notoriously har...
Orbital-free density functional theory with first-quantized quantum subroutines
Yusuke Nishiya, Hirofumi Nishi, Taichi Kosugi +1 more·Jul 23, 2024
In this study, we propose a quantum-classical hybrid scheme for performing orbital-free density functional theory (OFDFT) using probabilistic imaginary-time evolution (PITE), designed for the era of fault-tolerant quantum computers (FTQC), as a mater...
Superoptimal charging of quantum batteries via reservoir engineering: Arbitrary energy transfer unlocked
Borhan Ahmadi, Paweł Mazurek, Shabir Barzanjeh +1 more·Jul 23, 2024
Energy dissipation, typically considered an undesirable process, has recently been shown to be harnessed as a resource to optimize the performance of a quantum battery. Following this perspective, we introduce a novel technique of charging in which c...
Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing
Shuyang Zhu, Ziqing Zhu, Linghua Zhu +3 more·Jul 23, 2024
The analysis of decision-making process in electricity markets is crucial for understanding and resolving issues related to market manipulation and reduced social welfare. Traditional Multi-Agent Reinforcement Learning (MARL) method can model decisio...
A quantum leaky integrate-and-fire spiking neuron and network
D. Brand, Francesco Petruccione·Jul 23, 2024
Quantum machine learning is in a period of rapid development and discovery, however it still lacks the resources and diversity of computational models of its classical complement. With the growing difficulties of classical models requiring extreme ha...
Integrated high-performance error correction for continuous-variable quantum key distribution
Chuang Zhou, Yang Li, Li Ma +12 more·Jul 23, 2024
An integrated error-correction scheme with high throughput, low frame errors rate (FER) and high reconciliation efficiency under low signal to noise ratio (SNR) is one of the major bottlenecks to realize high-performance and low-cost continuous varia...
Approximate real-time evolution operator for potential with one ancillary qubit and application to first-quantized Hamiltonian simulation
Xinchi Huang, Taichi Kosugi, Hirofumi Nishi +1 more·Jul 23, 2024
In many quantum algorithms, including Hamiltonian simulation, efficient quantum circuit implementation of diagonal unitary matrices is an important issue. For small unitary diagonal matrices, a method based on Walsh operators is known and allows an e...
Fully Passive Quantum Conference Key Agreement
Jinjie Li, Wenyuan Wang, H. F. Chau·Jul 22, 2024
Quantum Conference Key Agreement (CKA) provides a secure method for multi-party communication. A recently developed interference-based prepare-and-measure quantum CKA possesses the advantages of measurement-device-independence, namely, being immune t...