Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
30,392
This Month
509
Today
0
Research Volume
14,824 papers in 12 months (-23% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum Annealing Based Power Grid Partitioning for Parallel Simulation
Carsten Hartmann, Junjie Zhang, C. Calaza +3 more·Aug 7, 2024
Graph partitioning has many applications in power systems, from decentralized state estimation to parallel simulation. Focusing on parallel simulation, optimal grid partitioning minimizes the idle time caused by different simulation times for the sub...
On-Demand Growth of Semiconductor Heterostructures Guided by Physics-Informed Machine Learning
Chaorong Shen, Yuan Li, Wenkang Zhan +15 more·Aug 7, 2024
Developing tailored semiconductor heterostructures on demand represents a critical capability for addressing the escalating performance demands in electronic and optoelectronic devices. However, traditional fabrication methods remain constrained by s...
NetQIR: An extension of QIR for distributed quantum computing
F. J. Cardama, Jorge V'azquez-P'erez, César Piñeiro +3 more·Aug 7, 2024
The rapid advancement of quantum computing has highlighted the need for scalable and efficient software infrastructures to fully exploit its potential. Current quantum processors face significant scalability constraints due to the limited number of q...
Explicit quantum surrogates for quantum kernel models
Akimoto Nakayama, Hayata Morisaki, Kosuke Mitarai +2 more·Aug 6, 2024
Quantum machine learning (QML) leverages quantum states for data encoding, with key approaches being explicit models that use parameterized quantum circuits and implicit models that use quantum kernels. Implicit models often have lower training error...
Binary Triorthogonal and CSS-T Codes for Quantum Error Correction
Eduardo Camps-Moreno, Hiram H. L'opez, Gretchen L. Matthews +3 more·Aug 6, 2024
In this paper, we study binary triorthogonal codes and their relation to CSS-T quantum codes. We characterize the binary triorthogonal codes that are minimal or maximal with respect to the CSS-T poset, and we also study how to derive new triorthogona...
Entanglement-enhanced learning of quantum processes at scale
A. Seif, Senrui Chen, Swarnadeep Majumder +6 more·Aug 6, 2024
Learning unknown processes affecting a quantum system reveals underlying physical mechanisms and enables suppression, mitigation, and correction of unwanted effects. Describing a general quantum process requires an exponentially large number of param...
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction
Siddhant Dutta, Nouhaila Innan, Alberto Marchisio +2 more·Aug 6, 2024
Financial market prediction and optimal trading strategy development remain challenging due to market complexity and volatility. Our research in quantum finance and reinforcement learning for decision-making demonstrates the approach of quantum-class...
MarQSim: Reconciling Determinism and Randomness in Compiler Optimization for Quantum Simulation
Xiuqi Cao, Junyu Zhou, Yuhao Liu +2 more·Aug 6, 2024
Quantum Hamiltonian simulation, fundamental in quantum algorithm design, extends far beyond its foundational roots, powering diverse quantum computing applications. However, optimizing the compilation of quantum Hamiltonian simulation poses significa...
Optimally Generating su(2^{N}) Using Pauli Strings.
Isaac D. Smith, Maxime Cautrès, David T. Stephen +1 more·Aug 6, 2024
Any quantum computation consists of a sequence of unitary evolutions described by a finite set of Hamiltonians. When this set is taken to consist of only products of Pauli operators, we show that the minimal such set generating su(2^{N}) contains 2N+...
Benchmarking variational quantum algorithms for combinatorial optimization in practice
Tim Schwägerl, Yahui Chai, T. Hartung +2 more·Aug 6, 2024
Variational quantum algorithms, and in particular variants of the variational quantum eigensolver, have been proposed as approaches to combinatorial optimization (CO) problems. With only shallow ansatz circuits, these methods are considered suitabl...
Quantum simulations of chemistry in first quantization with any basis set
Timothy N Georges, Marius Bothe, Christoph Sünderhauf +3 more·Aug 6, 2024
Quantum computation of the energy of molecules and materials is one of the most promising applications of fault-tolerant quantum computers. Practical applications require development of quantum algorithms with reduced resource requirements. Previous ...
Investigating and improving student understanding of the basics of quantum computing
Peter Hu, Yangqiuting Li, Chandralekha Singh·Aug 6, 2024
Quantum information science and engineering (QISE) is a rapidly developing field that leverages the skills of experts from many disciplines to utilize the potential of quantum systems in a variety of applications. It requires talent from a wide varie...
Deep unfolded local quantum annealing
Shunta Arai, Satoshi Takabe·Aug 6, 2024
Local quantum annealing (LQA), an iterative algorithm, is designed to solve combinatorial optimization problems. It draws inspiration from QA, which utilizes adiabatic time evolution to determine the global minimum of a given objective function. In t...
Quantum Computation of Electronic Structure with Projector Augmented-Wave Method and Plane Wave Basis Set.
Aleksei V Ivanov, Andrew Patterson, Marius Bothe +6 more·Aug 6, 2024
Quantum simulation of materials is a promising application area of quantum computers. To practically realize this promise, we must reduce quantum resources while maintaining accuracy. In electronic structure calculations on classical computers, resou...
Universal Matrix Multiplication on Quantum Computer
Jiaqi Yao, Tianjian Huang, Zipeng Cai +1 more·Aug 6, 2024
As the most central and computationally intensive component of deep neural networks, the execution efficiency of matrix multiplication directly determines the training and inference performance of models. Harnessing the parallel processing capabiliti...
Modular Architectures and Entanglement Schemes for Error-Corrected Distributed Quantum Computation
Siddhant Singh, Fenglei Gu, Sébastian de Bone +3 more·Aug 5, 2024
Connecting multiple smaller qubit modules by generating high-fidelity entangled states is a promising path for scaling quantum computing hardware. The performance of such a modular quantum computer is highly dependent on the quality and rate of entan...
High Purcell-enhancement in quantum-dot hybrid circular Bragg grating cavities for GHz-clockrate generation of indistinguishable photons
Lucas Rickert, Daniel A. Vajner, Martin von Helversen +8 more·Aug 5, 2024
We present Purcell-enhanced ($F_\mathrm{P}>25$) semiconductor InAs quantum dot decay times of $T_1<30\,$ps, enabled by deterministic hybrid circular Bragg gratings (hCBGs). We investigate the benefits of these short $T_1$ times on the two-photon indi...
A Novel Stabilizer-based Entanglement Distillation Protocol for Qudits
Christopher Popp, Tobias C. Sutter, Beatrix C. Hiesmayr·Aug 5, 2024
Entanglement distillation, the process of converting weakly entangled states into maximally entangled ones using Local Operations and Classical Communication (LOCC), is pivotal for robust entanglement-assisted quantum information processing in error-...
Polynomial-Time Classical Simulation of Hidden Shift Circuits via Confluent Rewriting of Symbolic Sums
Matthew Amy, Lucas Shigeru Stinchcombe·Aug 5, 2024
Implementations of Roetteler's shifted bent function algorithm have in recent years been used to test and benchmark both classical simulation algorithms and quantum hardware. These circuits have many favorable properties, including a tunable amount o...
Non-symmetric GHZ states: weighted hypergraph and controlled-unitary graph representations
Hrachya Zakaryan, Konstantinos-Rafail Revis, Zahra Raissi·Aug 5, 2024
Non-symmetric GHZ states ($n$-GHZ$_\alpha$), defined by unequal superpositions of $|00...0>$ and $|11...1>$, naturally emerge in experiments due to decoherence, control errors, and state preparation imperfections. Despite their relevance in quantum c...