Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
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...
The Quantum Cryptography Approach: Unleashing the Potential of Quantum Key Reconciliation Protocol for Secure Communication
Neha Sharma, Vikas Saxena·Jan 17, 2024
Quantum cryptography is the study of delivering secret communications across a quantum channel. Recently, Quantum Key Distribution (QKD) has been recognized as the most important breakthrough in quantum cryptography. This process facilitates two dist...
LDPC-cat codes for low-overhead quantum computing in 2D
Diego Ruiz, Jérémie Guillaud, Anthony Leverrier +2 more·Jan 17, 2024
The main obstacle to large scale quantum computing are the errors present in every physical qubit realization. Correcting these errors requires a large number of additional qubits. Two main avenues to reduce this overhead are (i) low-density parity c...
Towards large-scale quantum optimization solvers with few qubits
Marco Sciorilli, Lucas Borges, T. Patti +4 more·Jan 17, 2024
Quantum computers hold the promise of more efficient combinatorial optimization solvers, which could be game-changing for a broad range of applications. However, a bottleneck for materializing such advantages is that, in order to challenge classical ...
Scouring Parrondo's paradox in discrete-time quantum walks
G. Kadiri·Jan 17, 2024
We propose a quantum game based on coin-based quantum walks. Given a quantum walk and a Hermitian operator on the coin-position composite space, winning this game involves choosing an initial coin state such that the given quantum walk leads to a com...
Two-Stage Estimation and Variance Modeling for Latency-Constrained Variational Quantum Algorithms
Yunsoo Ha, Sara Shashaani, M. Menickelly·Jan 17, 2024
The quantum approximate optimization algorithm (QAOA) has enjoyed increasing attention in noisy, intermediate-scale quantum computing with its application to combinatorial optimization problems. QAOA has the potential to demonstrate a quantum advanta...
Synthesizing Toffoli-optimal quantum circuits for arbitrary multi-qubit unitaries
Priyanka Mukhopadhyay·Jan 17, 2024
In this paper we study the Clifford+Toffoli universal fault-tolerant gate set. We introduce a generating set in order to represent any unitary implementable by this gate set and with this we derive a bound on the Toffoli-count of arbitrary multi-qubi...
Elivagar: Efficient Quantum Circuit Search for Classification
Sashwat Anagolum, Narges Alavisamani, Poulami Das +2 more·Jan 17, 2024
Designing performant and noise-robust circuits for Quantum Machine Learning (QML) is challenging --- the design space scales exponentially with circuit size, and there are few well-supported guiding principles for QML circuit design. Although recent ...
Benchmarking quantum computer simulation software packages
Amit Jamadagni, A. Läuchli, Cornelius Hempel·Jan 17, 2024
Rapid advances in quantum computing technology lead to an increasing need for software simulators that enable both algorithm design and the validation of results obtained from quantum hardware. This includes calculations that aim at probing regimes o...
Symmetry breaking in geometric quantum machine learning in the presence of noise
Cenk Tüysüz, Su Yeon Chang, Maria Demidik +3 more·Jan 17, 2024
Geometric quantum machine learning based on equivariant quantum neural networks (EQNNs) recently appeared as a promising direction in quantum machine learning. Despite encouraging progress, studies are still limited to theory, and the role of hardwar...
Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project
A. Khan, Muhammad Azeem Akbar, V. Lahtinen +1 more·Jan 16, 2024
Quantum software systems represent a new realm in software engineering, utilizing quantum bits (Qubits) and quantum gates (Qgates) to solve the complex problems more efficiently than classical counterparts. Agile software development approaches are c...