Papers
Live trends in quantum computing research, updated daily from arXiv.
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14,985 papers in 12 months (-20% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Adaptable Weighted Token Swapping Algorithm for Optimal Multi-Qubit Pathfinding
Gary J Mooney·May 29, 2024
Quantum computing promises breakthroughs in simulating and solving complex, classically intractable problems. However, current noisy intermediate-scale quantum (NISQ) devices are relatively small and error-prone, prohibiting large-scale computations....
Learning the Expressibility of Quantum Circuit Ansatz Using Transformer
Fei Zhang, Jierui Li, Zhimin He +1 more·May 29, 2024
With the exponentially faster computation for certain problems, quantum computing has garnered significant attention in recent years. Variational quantum algorithms are crucial methods to implement quantum computing, and an appropriate task‐specific ...
Efficiently manipulating Pauli strings with PauliArray
M. Dion, Tania Belabbas, Nolan Bastien·May 29, 2024
Pauli matrices and Pauli strings are widely used in quantum computing. These mathematical objects are useful to describe or manipulate the quantum state of qubits. They offer a convenient basis to express operators and observables used in different p...
Linear Logic and Quantum Error Correcting Codes
Daniel Murfet, W. Troiani·May 29, 2024
We develop a point of view on reduction of multiplicative proof nets based on quantum error-correcting codes. To each proof net we associate a code, in such a way that cut-elimination corresponds to error correction.
Classification analysis of transition-metal chalcogenides and oxides using quantum machine learning
Kurudi V Vedavyasa, Ashok Kumar·May 29, 2024
Quantum machine learning (QML) leverages the potential from machine learning to explore the subtle patterns in huge datasets of complex nature with quantum advantages. This exponentially reduces the time and resources necessary for computations. QML ...
Efficient Optimal Control of Open Quantum Systems
Wenhao He, Tongyang Li, Xiantao Li +3 more·May 29, 2024
The optimal control problem for open quantum systems can be formulated as a time-dependent Lindbladian that is parameterized by a number of time-dependent control variables. Given an observable and an initial state, the goal is to tune the control va...
Quantum Circuit Switching with One-Way Repeaters in Star Networks
Á. G. Iñesta, Hyeongrak Choi, Dirk R. Englund +1 more·May 29, 2024
Distributing quantum states reliably among distant locations is a key challenge in the field of quantum networks. One-way quantum networks address this by using one-way communication and quantum error correction. Here, we analyze quantum circuit swit...
Global optimization in variational quantum algorithms via dynamic tunneling method
Seung Park, Kyunghyun Baek, Seungjin Lee +1 more·May 29, 2024
We present a global optimization routine for the variational quantum algorithms, which utilizes the dynamic tunneling flow. Originally designed to leverage information gathered by a gradient-based optimizer around local minima, we adapt the conventio...
A quantum implementation of high-order power method for estimating geometric entanglement of pure states
Andrii Semenov, Niall Murphy, Simone Patscheider +2 more·May 29, 2024
Entanglement is one of the fundamental properties of a quantum state and is a crucial differentiator between classical and quantum computation. There are many ways to define entanglement and its measure, depending on the problem or application under ...
Decoherence of solid-state spin qubits: a computational perspective
M. Onizhuk, Giulia Galli·May 28, 2024
The usefulness of solid-state spins in quantum technologies depends on how long they can remain in a coherent superposition of quantum states. This Colloquium discusses how first-principles simulations can predict spin dynamics for different types of...
Simon algorithm in measurement-based quantum computing
Maximilian Schwetz, Reinhard M. Noack·May 28, 2024
Simon's hidden subgroup algorithm was the first quantum algorithm to prove the superiority of quantum computing over classical computing in terms of complexity. Measurement-based quantum computing (MBQC) is a formulation of quantum computing that, wh...
Symmetry-protection Zeno phase transition in monitored lattice gauge theories
Matteo M. Wauters, Edoardo Ballini, A. Biella +1 more·May 28, 2024
Quantum measurements profoundly influence system dynamics. They lead to complex nonequilibrium phenomena like the quantum Zeno effect, and they can be used for mitigating errors in quantum simulations. Such an ability is particularly valuable for lat...
Dictionary-based Block Encoding of Sparse Matrices with Low Subnormalization and Circuit Depth
Chunlin Yang, Zexian Li, Hongmei Yao +3 more·May 28, 2024
Block encoding severs as an important data input model in quantum algorithms, enabling quantum computers to simulate non-unitary operators effectively. In this paper, we propose an efficient block-encoding protocol for sparse matrices based on a nove...
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya +2 more·May 28, 2024
A fundamental problem in quantum many-body physics is that of finding ground states of local Hamiltonians. A number of recent works gave provably efficient machine learning (ML) algorithms for learning ground states. Specifically, [Huang et al. Scien...
On-Demand Resource Allocation for a Quantum Network Hub
Scarlett Gauthier, Thirupathaiah Vasantam, Gayane Vardoyan·May 28, 2024
To effectively support the execution of quantum network applications for multiple sets of user-controlled quantum nodes, a quantum network must efficiently allocate shared resources. We study traffic models for a type of quantum network hub called an...
Capturing dynamics and thermodynamics of a three-level quantum heat engine via programmable quantum circuits
Gao-xiang Deng, Zhe He, Yu Liu +2 more·May 28, 2024
This research employs the Kraus representation and Sz.-Nagy dilation theorem to model a three-level quantum heat on quantum circuits, investigating its dynamic evolution and thermodynamic performance. The feasibility of the dynamic model is validated...
Nonunitary quantum machine learning
J. Heredge, Maxwell T. West, Lloyd C. L. Hollenberg +1 more·May 27, 2024
We introduce several probabilistic quantum algorithms that overcome the normal unitary restrictions in quantum machine learning by leveraging the linear combination of unitaries (LCU) method. We cover three distinct topics, beginning with quantum nat...
Pediatric TSC-Related Epilepsy Classification from Clinical Mr Images Using Quantum Neural Network
Ling Lin, Yihang Zhou, Zhanqi Hu +8 more·May 27, 2024
Tuberous sclerosis complex (TSC) presents as a multisystem disorder with profound neurological impacts. Our study introduces Quantum-Residual Neural Network (QR-Net), a novel quantum neural network model that innovatively combines conventional residu...
The MQT Handbook : A Summary of Design Automation Tools and Software for Quantum Computing
Robert Wille, Lucas Berent, Tobias Forster +10 more·May 27, 2024
Quantum computers are becoming a reality and numerous quantum computing applications with a near-term perspective (e.g., for finance, chemistry, machine learning, and optimization) and with a long-term perspective (e.g., for cryptography or unstructu...
Model-Driven Engineering for Quantum Programming: A Case Study on Ground State Energy Calculation
Furkan Polat, Hasan Tuncer, Armin Moin +1 more·May 27, 2024
This study introduces a novel framework that brings together two main Quantum Programming methodologies, gate-based Quantum Computing and Quantum Annealing, by applying the Model-Driven Engineering principles. This aims to enhance the adaptability, d...