Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Simulating two-dimensional lattice gauge theories on a qudit quantum computer
M. Meth, Jinglei Zhang, J. Haase +11 more·Oct 18, 2023
Particle physics describes the interplay of matter and forces through gauge theories. Yet, the intrinsic quantum nature of gauge theories makes important problems notoriously difficult for classical computational techniques. Quantum computers offer a...
Towards Quantum Dynamics Simulation of Physical Systems: A Survey
Rikteem Bhowmick, N. Mohan, Devesh Kumar +2 more·Oct 18, 2023
After the emergence of quantum mechanics and realising its need for an accurate understanding of physical systems, numerical methods were being used to undergo quantum mechanical treatment. With increasing system correlations and size, numerical meth...
NuQKD: A Modular Quantum Key Distribution Simulation Framework for Engineering Applications
K. Gkouliaras, Vasileios Theos, Phil Evans +1 more·Oct 18, 2023
An experimental Quantum Key Distribution (QKD) implementation requires advanced costly hardware, unavailable in most research environments, making protocol testing and performance evaluation complicated. This has been a major motivation for the devel...
Optimizing edge-state transfer in a Su-Schrieffer-Heeger chain via hybrid analog-digital strategies
Sebastián V. Romero, Xi Chen, G. Platero +1 more·Oct 17, 2023
The Su-Schrieffer-Heeger (SSH) chain, which serves as a paradigmatic model for comprehending topological phases and their associated edge states, plays an essential role in advancing our understanding of quantum materials and quantum information proc...
Quantum computing simulation of a mixed spin-boson Hamiltonian and its performance for a cavity quantum electrodynamics problem
M. Tudorovskaya, David Muñoz Ramo·Oct 17, 2023
In this paper, we aim to broaden the spectrum of possible applications of quantum computers and use their capabilities to investigate effects in cavity quantum electrodynamics ("cavity QED"). Interesting application examples are material properties, ...
Quantum Error Transmutation
Daniel Zhang, T. Cubitt·Oct 16, 2023
We introduce a generalisation of quantum error correction, relaxing the requirement that a code should identify and correct a set of physical errors on the Hilbert space of a quantum computer exactly, instead allowing recovery up to a pre-specified a...
ADAPT-QAOA with a classically inspired initial state
V. Sridhar, Yanzhu Chen, Bryan T. Gard +2 more·Oct 15, 2023
Quantum computing may provide advantage in solving classical optimization problems. One promising algorithm is the quantum approximate optimization algorithm (QAOA). There have been many proposals for improving this algorithm, such as using an initia...
Machine Learning Assisted Cognitive Construction of a Shallow Depth Dynamic Ansatz for Noisy Quantum Hardware
Sonaldeep Halder, Anish Dey, Chinmay Shrikhande +1 more·Oct 12, 2023
The development of various dynamic ansatz-constructing techniques has ushered in a new era, rendering the practical exploitation of Noisy Intermediate-Scale Quantum (NISQ) hardware for molecular simulations increasingly viable. However, they exhibit ...
Variational quantum eigensolver for closed-shell molecules with non-bosonic corrections.
Kyungmin Kim, Sumin Lim, Kyujin Shin +5 more·Oct 11, 2023
The realization of quantum advantage with noisy-intermediate-scale quantum (NISQ) machines has become one of the major challenges in computational sciences. Maintaining coherence of a physical system with more than ten qubits is a critical challenge ...
Unleashing quantum algorithms with Qinterpreter: bridging the gap between theory and practice across leading quantum computing platforms
Wilmer Contreras Sepúlveda, B. M. Villegas-Martínez, Sandra Gesing +10 more·Oct 11, 2023
Quantum computing is a rapidly emerging and promising field with the potential to transform various research domains including drug design, network technologies, and sustainable energy solutions. Due to the inherent complexity and divergence from cla...
A quantum annealing-sequential quadratic programming assisted finite element simulation for non-linear and history-dependent mechanical problems
V. Nguyen, F. Remacle, L. Noels·Oct 10, 2023
We propose a framework to solve non-linear and history-dependent mechanical problems based on a hybrid classical computer -- quantum annealer approach. Quantum Computers are anticipated to solve particular operations exponentially faster. The availab...
Single-spin-qubit geometric gate in a silicon quantum dot
Rong-Long Ma, Ao-Ran Li, Chu Wang +11 more·Oct 10, 2023
Preserving qubit coherence and maintaining high-fidelity qubit control under complex noise environment is an enduring challenge for scalable quantum computing. Here we demonstrate an addressable fault-tolerant single spin qubit with an average contro...
Quantum support vector data description for anomaly detection
Hyeondo Oh, Daniel K Park·Oct 10, 2023
Anomaly detection is a critical problem in data analysis and pattern recognition, finding applications in various domains. We introduce quantum support vector data description (QSVDD), an unsupervised learning algorithm designed for anomaly detection...
Efficient preparation of the AKLT State with Measurement-based Imaginary Time Evolution
Tianqi Chen, Tim Byrnes·Oct 9, 2023
Quantum state preparation plays a crucial role in several areas of quantum information science, in applications such as quantum simulation, quantum metrology and quantum computing. However, typically state preparation requires resources that scale ex...
Enhancing Virtual Distillation with Circuit Cutting for Quantum Error Mitigation
Peiyi Li, Ji Liu, Hrushikesh Pramod Patil +2 more·Oct 7, 2023
Virtual distillation is a technique that aims to mitigate errors in noisy quantum computers. It works by preparing multiple copies of a noisy quantum state, bridging them through a circuit, and conducting measurements. As the number of copies increas...
A Quantum-Classical Method Applied to Material Design: Photochromic Materials Optimization for Photopharmacology Applications
Qi Gao, M. Sugawara, P. Nation +4 more·Oct 6, 2023
Integration of quantum chemistry simulations, machine learning techniques, and optimization calculations is expected to accelerate material discovery by making large chemical spaces amenable to computational study; a challenging task for classical co...
Efficient Quantum Circuit Simulation by Tensor Network Methods on Modern GPUs
Feng Pan, Hanfeng Gu, Lvlin Kuang +2 more·Oct 6, 2023
Efficient simulation of quantum circuits has become indispensable with the rapid development of quantum hardware. The primary simulation methods are based on state vectors and tensor networks. As the number of qubits and quantum gates grows larger in...
Many-Body-Expansion Based on Variational Quantum Eigensolver and Deflation for Dynamical Correlation.
Enhua Xu, Yuma Shimomoto, S. Ten-no +1 more·Oct 6, 2023
In this work, we utilize the framework of many-body expansion (MBE) to decompose electronic structures into fragments by incrementing virtual orbitals, aiming to accurately solve the ground and excited state energies of each fragment using the variat...
Problem-tailored Simulation of Energy Transport on Noisy Quantum Computers
I. Chen, Kl'ee Pollock, Yongxin Yao +2 more·Oct 5, 2023
The transport of conserved quantities like spin and charge is fundamental to characterizing the behavior of quantum many-body systems. Numerically simulating such dynamics is generically challenging, which motivates the consideration of quantum compu...
Adaptive variational ground state preparation for spin-1 models on qubit-based architectures
João C. Getelina, Cai-Zhuang Wang, T. Iadecola +2 more·Oct 5, 2023
We apply the adaptive variational quantum imaginary time evolution (AVQITE) method to prepare ground states of one-dimensional spin $S=1$ models. We compare different spin-to-qubit encodings (standard binary, Gray, unary, and multiplet) with regard t...