Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum Tunneling: From Theory to Error‐Mitigated Quantum Simulation
Sorana Catrina, Alexandra Baicoianu·Apr 10, 2024
Ever since the discussions about a possible quantum computer arised, quantum simulations have been at the forefront of possible utilities, with the task of quantum simulations being one that promises quantum advantage. Recently, advancements have mad...
Scalable 2-local architecture for quantum annealing of Ising models with arbitrary dimensions
Ana Palacios, A. Garcia-Saez, Bruno Juliá-Díaz +1 more·Apr 10, 2024
Achieving densely connected hardware graphs is a challenge for most quantum computing platforms today, and a particularly crucial one for the case of quantum annealing applications. In this context, we present a scalable architecture for quantum anne...
A Modified Depolarization Approach for Efficient Quantum Machine Learning
Bikram Khanal, Pablo Rivas·Apr 10, 2024
Quantum Computing in the Noisy Intermediate-Scale Quantum (NISQ) era has shown promising applications in machine learning, optimization, and cryptography. Despite these progresses, challenges persist due to system noise, errors, and decoherence. Thes...
Vibrational ADAPT-VQE: Critical points lead to problematic convergence.
Marco Majland, Patrick Ettenhuber, N. T. Zinner +1 more·Apr 10, 2024
Quantum chemistry is one of the most promising applications for which quantum computing is expected to have a significant impact. Despite considerable research in the field of electronic structure, calculating the vibrational properties of molecules ...
Statistical evaluation of 571 GaAs quantum point contact transistors showing the 0.7 anomaly in quantized conductance using millikelvin cryogenic on-chip multiplexing
P. Ma, K. Delfanazari, R. Puddy +8 more·Apr 10, 2024
The mass production and the practical number of cryogenic quantum devices producible in a single chip are limited to the number of electrical contact pads and wiring of the cryostat or dilution refrigerator. It is, therefore, beneficial to contrast t...
Flexible quantum data bus for quantum networks
Julia Freund, Alexander Pirker, Wolfgang Dür·Apr 9, 2024
We consider multi-path routing of entanglement in quantum networks, where a pre-prepared multipartite entangled 2D cluster state serves as a resource to perform different tasks on demand. We show how to achieve parallel connections between multiple, ...
Non-Gaussian state teleportation with a nonlinear feedforward
Vojtěch Kala, Mattia Walschaers, Radim Filip +1 more·Apr 9, 2024
Measurement-induced quantum computation with continuous-variable cluster states utilizes teleportation to transmit and alter quantum states via measurement-and-feedforward control. One of the key challenges of this approach is the deterioration of qu...
Shallow Quantum Circuit Implementation of Symmetric Functions With Limited Ancillary Qubits
Wei Zi, Junhong Nie, Xiaoming Sun·Apr 9, 2024
Optimizing the depth and number of ancillary qubits in quantum circuits is crucial in quantum computation, given the limitations imposed by current quantum devices. In this article, we introduce an innovative approach for implementing arbitrary symme...
Quantum computing topological invariants of two-dimensional quantum matter
Marcel Niedermeier, Mark Nairn, C. Flindt +1 more·Apr 9, 2024
Quantum algorithms provide a potential strategy for solving computational problems that are intractable by classical means. Computing the topological invariants of topological matter is one central problem in research on quantum materials, and a vari...
Efficient Quantum Circuits for Machine Learning Activation Functions including Constant T-depth ReLU
Wei Zi, Siyi Wang, Hyunji Kim +3 more·Apr 9, 2024
In recent years, Quantum Machine Learning (QML) has increasingly captured the interest of researchers. Among the components in this domain, activation functions hold a fundamental and indispensable role. Our research focuses on the development of act...
Replication-Based Quantum Annealing Error Mitigation
H. Djidjev·Apr 9, 2024
Quantum annealers like those from D-Wave Systems implement adiabatic quantum computing to solve optimization problems, but their analog nature and limited control functionalities present challenges to correcting or mitigating errors. As quantum compu...
Scalable Noise Characterization of Syndrome-Extraction Circuits with Averaged Circuit Eigenvalue Sampling
Evan T. Hockings, Andrew C. Doherty, Robin Harper·Apr 9, 2024
Characterizing the performance of noisy quantum circuits is central to the production of prototype quantum computers and can enable improved quantum error correction that exploits noise biases identified in a quantum device. We develop a scalable noi...
Efficient Quantum Gibbs Samplers with Kubo–Martin–Schwinger Detailed Balance Condition
Zhiyan Ding, Bowen Li, Lin Lin·Apr 9, 2024
Lindblad dynamics and other open-system dynamics provide a promising path towards efficient Gibbs sampling on quantum computers. In these proposals, the Lindbladian is obtained via an algorithmic construction akin to designing an artificial thermosta...
A circuit-generated quantum subspace algorithm for the variational quantum eigensolver.
M. Hirsbrunner, J. W. Mullinax, Yizhi Shen +4 more·Apr 9, 2024
Recent research has shown that wavefunction evolution in real and imaginary time can generate quantum subspaces with significant utility for obtaining accurate ground state energies. Inspired by these methods, we propose combining quantum subspace te...
Quantum Graph Optimization Algorithm
Yuhan Huang, Ferris Prima Nugraha, Siyuan Jin +3 more·Apr 9, 2024
Quadratic unconstrained binary optimization (QUBO) tasks are very important in chemistry, finance, job scheduling, and so on, which can be represented using graph structures, with the variables as nodes and the interaction between them as edges. Vari...
The Overlap Gap Property Limits Limit Swapping in the QAOA
Mark Goh·Apr 9, 2024
Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a quantum algorithm designed for Combinatorial Optimization Problem (COP). We show that if a local algorithm is limited in performance at logarithmic depth for a spin glass type COP wi...
Symmetry-guided gradient descent for quantum neural networks
Ka Bian, Shitao Zhang, Fei Meng +2 more·Apr 9, 2024
Many supervised learning tasks have intrinsic symmetries, such as translational and rotational symmetry in image classifications. These symmetries can be exploited to enhance performance. We formulate the symmetry constraints into a concise mathemati...
Quantum Generative Adversarial Networks in a Silicon Photonic Chip with Maximum Expressibility
Haoran Ma, Liao Ye, Xiaoqing Guo +5 more·Apr 9, 2024
Generative adversarial networks (GANs) have achieved remarkable success with realistic tasks such as creating realistic images, texts, and audio. Combining GANs and quantum computing, quantum GANs are thought to have an exponential advantage over the...
A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search
Abhishek Sadhu, Aritra Sarkar, Akash Kundu·Apr 9, 2024
In the field of quantum computing, variational quantum algorithms (VQAs) represent a pivotal category of quantum solutions across a broad spectrum of applications. These algorithms demonstrate significant potential for realising quantum computational...
Witnessing Quantum Entanglement Using Resonant Inelastic X-ray Scattering
Tianhao Ren, Yao Shen, Marton Lajer +9 more·Apr 8, 2024
Although entanglement is both a central ingredient in our understanding of quantum many-body systems and an essential resource for quantum technologies, we only have a limited ability to quantify entanglement in real quantum materials. Thus far, enta...