Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Area and Power Efficient FFT/IFFT Processor for FALCON Post-Quantum Cryptography
Ghada Alsuhli, H. Saleh, Mahmoud Al-Qutayri +2 more·Jan 19, 2024
Quantum computing is an emerging technology on the verge of reshaping industries, while simultaneously challenging existing cryptographic algorithms. FALCON, a recent standard quantum-resistant digital signature, presents a challenging hardware imple...
Reconfigurable Intelligent Surface (RIS)-Assisted Entanglement Distribution in FSO Quantum Networks
Mahdi Chehimi, M. Elhattab, Walid Saad +4 more·Jan 19, 2024
Quantum networks (QNs) relying on free-space optical (FSO) quantum channels can support quantum applications in environments wherein establishing an optical fiber infrastructure is challenging and costly. However, FSO-based QNs require a clear line-o...
QUASIM: Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing
Wolfgang Maass, Ankit Agrawal, Alessandro Ciani +14 more·Jan 19, 2024
Quantum computing (QC) and machine learning (ML), taken individually or combined into quantum-assisted ML (QML), are ascending computing paradigms whose calculations come with huge potential for speedup, increase in precision, and resource reductions...
Digital-Analog Quantum Computing and Algorithms
Ana Martin·Jan 19, 2024
This Thesis delves into the development and implementation of quantum algorithms using the digital-analog quantum computing (DAQC) paradigm. It provides a comparative analysis of the performance of DAQC versus traditional digital approaches, particul...
Floquet control of interactions and edge states in a programmable quantum simulator
Or Katz, Lei Feng, Diego Porras +1 more·Jan 18, 2024
Quantum simulators based on trapped ions enable the study of spin systems and models with rich dynamical phenomena. The Su-Schrieffer-Heeger (SSH) model for fermions in one dimension is a canonical example that can support a topological insulator pha...
Time-Efficient Quantum Entropy Estimator via Samplizer
Qisheng Wang, Zhicheng Zhang·Jan 18, 2024
Entropy is a measure of the randomness of a system. Estimating the entropy of a quantum state is a basic problem in quantum information. In this paper, we introduce a time-efficient quantum approach to estimating the von Neumann entropy $S(ρ)$ and Ré...
Universal adjointation of isometry operations using conversion of quantum supermaps
Satoshi Yoshida, A. Soeda, M. Murao·Jan 18, 2024
Identification of possible transformations of quantum objects including quantum states and quantum operations is indispensable in developing quantum algorithms. Universal transformations, defined as input-independent transformations, appear in variou...
A Novel Noise-Aware Classical Optimizer for Variational Quantum Algorithms
Jeffrey M. Larson, M. Menickelly, Jiahao Shi·Jan 18, 2024
A key component of variational quantum algorithms (VQAs) is the choice of classical optimizer employed to update the parameterization of an ansatz. It is well recognized that quantum algorithms will, for the foreseeable future, necessarily be run on ...
Quantum interface for telecom frequency conversion based on diamond-type atomic ensembles
Po-Han Tseng, Linghui Chen, Jiun-Shiuan Shiu +1 more·Jan 18, 2024
In a fiber-based quantum network, utilizing the telecom band is crucial for long-distance quantum information (QI) transmission between quantum nodes. However, the near-infrared wavelength is identified as optimal for processing and storing QI throug...
Qadence: a differentiable interface for digital-analog programs
Dominik Seitz, Niklas Heim, João P. Moutinho +9 more·Jan 18, 2024
Digital-analog quantum computing (DAQC) is an alternative paradigm for universal quantum computation combining digital single-qubit gates with global analog operations acting on a register of interacting qubits. Currently, no available open-source so...
Power system fault diagnosis with quantum computing and efficient gate decomposition
Xiang Fei, Huan Zhao, Xiyuan Zhou +3 more·Jan 18, 2024
Power system fault diagnosis is crucial for identifying the location and causes of faults and providing decision-making support for power dispatchers. However, most classical methods suffer from significant time-consuming, memory overhead, and comput...
Benchmarking hybrid digitized-counterdiabatic quantum optimization
Ruoqian Xu, Jialiang Tang, P. Chandarana +4 more·Jan 18, 2024
Hybrid digitized-counterdiabatic quantum computing (DCQC) is a promising approach for leveraging the capabilities of near-term quantum computers, utilizing parameterized quantum circuits designed with counterdiabatic protocols. However, the classical...
A dual-species Rydberg array
Shraddha Anand, Conor E. Bradley, Ryan White +3 more·Jan 18, 2024
Large-scale Rydberg atom arrays are used for highly coherent analogue quantum simulations and for digital quantum computations. However, advanced quantum protocols, such as quantum error correction, require midcircuit qubit operations, including the ...
Learning Shallow Quantum Circuits
Hsin-Yuan Huang, Yunchao Liu, M. Broughton +4 more·Jan 18, 2024
Despite fundamental interests in learning quantum circuits, the existence of a computationally efficient algorithm for learning shallow quantum circuits remains an open question. Because shallow quantum circuits can generate distributions that are cl...
Optimal sampling of tensor networks targeting wave function's fast decaying tails
Marco Ballarin, P. Silvi, Simone Montangero +1 more·Jan 18, 2024
We introduce an optimal strategy to sample quantum outcomes of local measurement strings for isometric tensor network states. Our method generates samples based on an exact cumulative bounding function, without prior knowledge, in the minimal amount ...
Novel techniques for efficient quantum state tomography and quantum process tomography and their experimental implementation
Akshay Gaikwad·Jan 18, 2024
This thesis actively focuses on designing, analyzing, and experimentally implementing various QST and QPT protocols using an NMR ensemble quantum processor and superconducting qubit-based IBM cloud quantum processor. Part of the thesis also includes ...
Entanglement cost for infinite-dimensional physical systems
Hayata Yamasaki, Kohdai Kuroiwa, Patrick Hayden +1 more·Jan 17, 2024
We prove that the entanglement cost equals the regularized entanglement of formation for any infinite-dimensional quantum state $ρ_{AB}$ with finite quantum entropy on at least one of the subsystems $A$ or $B$. This generalizes a foundational result ...
Zero Trust Implementation in the Emerging Technologies Era: Survey
Abraham Itzhak Weinberg, Kelly Cohen·Jan 17, 2024
This paper presents a comprehensive analysis of the shift from the traditional perimeter model of security to the Zero Trust (ZT) framework, emphasizing the key points in the transition and the practical application of ZT. It outlines the differences...
Dynamic Cooling on Contemporary Quantum Computers
Lindsay Bassman Oftelie, A. De Pasquale, Michele Campisi·Jan 17, 2024
We study the problem of dynamic cooling whereby a target qubit is cooled at the expense of heating up N−1 further identical qubits by means of a global unitary operation. A standard back-of-the-envelope high-temperature estimate establishes that the ...
The generative quantum eigensolver (GQE) and its application for ground state search
Kouhei Nakaji, L. B. Kristensen, Ryota Kemmoku +14 more·Jan 17, 2024
We introduce the generative quantum eigensolver (GQE), a new quantum computational framework that operates outside the variational quantum algorithm paradigm by applying classical generative models to quantum simulation. The GQE algorithm optimizes a...