Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Observation of entanglement transition of pseudo-random mixed states
Tong Liu, Shang Liu, Hekang Li +7 more·Aug 29, 2022
Random quantum states serve as a powerful tool in various scientific fields, including quantum supremacy and black hole physics. It has been theoretically predicted that entanglement transitions may happen for different partitions of multipartite ran...
Let Each Quantum Bit Choose Its Basis Gates
S. Lin, S. Sussman, Casey Duckering +5 more·Aug 29, 2022
Near-term quantum computers are primarily limited by errors in quantum operations (or gates) between two quantum bits (or qubits). A physical machine typically provides a set of basis gates that include primitive 2-qubit (2Q) and 1-qubit (1Q) gates t...
AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images
Sergio Altares-L'opez, J. J. Garc'ia-Ripoll, Ángela Ribeiro·Aug 28, 2022
We propose a new hybrid system for automatically generating and training quantum-inspired classifiers on grayscale images by using multiobjective genetic algorithms. We define a dynamic fitness function to obtain the smallest possible circuit and hig...
A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms
Javier Mancilla, Christophe Pere·Aug 28, 2022
Quantum Machine Learning (QML) has not yet demonstrated extensively and clearly its advantages compared to the classical machine learning approach. So far, there are only specific cases where some quantum-inspired techniques have achieved small incre...
Towards Quantum Computing Phase Diagrams of Gauge Theories with Thermal Pure Quantum States.
Z. Davoudi, N. Mueller, Connor Powers·Aug 28, 2022
The phase diagram of strong interactions in nature at finite temperature and chemical potential remains largely theoretically unexplored due to inadequacy of Monte-Carlo-based computational techniques in overcoming a sign problem. Quantum computing o...
Large-scale full-programmable quantum walk and its applications
Yizhi Wang, Yingwen Liu, Junwei Zhan +22 more·Aug 28, 2022
With photonics, the quantum computational advantage has been demonstrated on the task of boson sampling. Next, developing quantum-enhanced approaches for practical problems becomes one of the top priorities for photonic systems. Quantum walks are pow...
Shape dependence of entanglement negativity and mutual information in quantum Hall and critical systems
Chia-Chuan Liu, Juliette Geoffrion, William Witczak-Krempa·Aug 26, 2022
We study two entanglement measures in a large family of isotropic many-body states including incompressible quantum Hall liquids and quantum critical systems: the logarithmic negativity (LN), and mutual information (MI). For pure states, obtained for...
Comparison of unknown unitary channels with multiple uses
Yutaka Hashimoto, A. Soeda, M. Murao·Aug 26, 2022
(Dated: Comparison of quantum objects is a task to determine whether two unknown quantum objects are the same or different. It is one of the most basic information processing tasks for learning property of quantum objects, and comparison of quantum st...
Equivalence Checking of Quantum Circuits With the ZX-Calculus
Tom Peham, Lukas Burgholzer, R. Wille·Aug 26, 2022
As state-of-the-art quantum computers are capable of running increasingly complex algorithms, the need for automated methods to design and test potential applications rises. Equivalence checking of quantum circuits is an important, yet hardly automat...
Singly-excited resonant open quantum system Tavis-Cummings model with quantum circuit mapping
M. K. Marinković, Marina Radulaski·Aug 25, 2022
Tavis-Cummings (TC) cavity quantum electrodynamical effects, describing the interaction of N atoms with an optical resonator, are at the core of atomic, optical and solid state physics. The full numerical simulation of TC dynamics scales exponentiall...
A SAT Encoding for Optimal Clifford Circuit Synthesis
Sarah Schneider, Lukas Burgholzer, Robert Wille·Aug 24, 2022
Executing quantum algorithms on a quantum computer requires compilation to representations that conform to all restrictions imposed by the device. Due to devices' limited coherence times and gate fidelities, the compilation process has to be optimize...
Everything You Always Wanted to Know About Quantum Circuits
Edgard Muñoz-Coreas, H. Thapliyal·Aug 24, 2022
The development of circuits for quantum computing has been motivated by the proliferation of quantum algorithms which promise up to a superpolynomial factor speedup over classical equivalents. The quantum algorithms developed have the potential to im...
Noise tailoring for robust amplitude estimation
Archismita Dalal, Amara Katabarwa·Aug 24, 2022
A universal fault-tolerant quantum computer holds the promise to speed up computational problems that are otherwise intractable on classical computers; however, for the next decade or so, our access is restricted to noisy intermediate-scale quantum (...
Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows
Afrad Basheer, Yuan Feng, C. Ferrie +1 more·Aug 24, 2022
Variational quantum algorithms (VQAs) are the quantum analog of classical neural networks (NNs). A VQA consists of a parameterized quantum circuit (PQC) which is composed of multiple layers of ansatzes (simpler PQCs, which are an analogy of NN layers...
Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning
Rakpong Kaewpuang, Minrui Xu, D. Niyato +3 more·Aug 24, 2022
Increasing privacy and security concerns in intelligence-native 6G networks require quantum key distribution-secured federated learning (QKD-FL), in which data owners connected via quantum channels can train an FL global model collaboratively without...
Variational quantum solutions to the advection–diffusion equation for applications in fluid dynamics
Reuben Demirdjian, D. Gunlycke, C. Reynolds +2 more·Aug 24, 2022
Constraints in power consumption and computational power limit the skill of operational numerical weather prediction by classical computing methods. Quantum computing could potentially address both of these challenges. Herein, we present one method t...
Quantum Volume for Photonic Quantum Processors.
Yuxuan Zhang, Daoheng Niu, A. Shabani +1 more·Aug 24, 2022
Defining metrics for near-term quantum computing processors has been an integral part of the quantum hardware research and development efforts. Such quantitative characteristics are not only useful for reporting the progress and comparing different q...
Financial Index Tracking via Quantum Computing with Cardinality Constraints
Samuel Palmer, K. Karagiannis, Adam Florence +4 more·Aug 24, 2022
In this work, we demonstrate how to apply non-linear cardinality constraints, important for real-world asset management, to quantum portfolio optimization. This enables us to tackle non-convex portfolio optimization problems using quantum annealing t...
Mid-circuit correction of correlated phase errors using an array of spectator qubits
Kevin Singh, C. Bradley, Shraddha Anand +3 more·Aug 24, 2022
Scaling up invariably error-prone quantum processors is a formidable challenge. Although quantum error correction ultimately promises fault-tolerant operation, the required qubit overhead and error thresholds are daunting. In a complementary proposal...
Quantum algorithm for Markov random fields structure learning
Liming Zhao, Lin-Chun Wan, Maohui Luo·Aug 24, 2022
Probabilistic graphical models play a crucial role in machine learning and have wide applications across various fields. A pivotal subset within this realm is undirected graphical models, also known as Markov random fields. In this work, we explore t...