Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Parallel-in-time quantum simulation via Page and Wootters quantum time
N. Diaz, Paolo Braccia, Martín Larocca +3 more·Aug 24, 2023
In the past few decades, researchers have created a veritable zoo of quantum algorithms by drawing inspiration from classical computing, information theory, and even from physical phenomena. Here, we present quantum algorithms for parallel-in-time si...
Qubits on programmable geometries with a trapped-ion quantum processor
Qiming Wu, Yue Shi, Jiehang Zhang·Aug 20, 2023
Geometry and dimensionality have played crucial roles in our understanding of the fundamental laws of nature, with examples ranging from curved space-time in general relativity to modern theories of quantum gravity. In quantum many-body systems, the ...
Sequence Processing with Quantum Tensor Networks
Carys Harvey, Richie Yeung, K. Meichanetzidis·Aug 15, 2023
We introduce complex-valued tensor network models for sequence processing motivated by correspondence to probabilistic graphical models, interpretability and resource compression. Inductive bias is introduced to our models via network architecture, a...
Qibolab: an open-source hybrid quantum operating system
Stavros Efthymiou, Alvaro Orgaz-Fuertes, Rodolfo Carobene +13 more·Aug 11, 2023
We present Qibolab, an open-source software library for quantum hardware control integrated with the Qibo quantum computing middleware framework. Qibolab provides the software layer required to automatically execute circuit-based algorithms on custom...
Generating quantum channels from functions on discrete sets
A. Quillen, Rayleigh W. Parker, Nathan Skerrett·Aug 11, 2023
Using the recent ability of quantum computers to initialize quantum states rapidly with high fidelity, we use a function operating on a discrete set to create a simple class of quantum channels. Fixed points and periodic orbits, that are present in t...
Randomness-Enhanced Expressivity of Quantum Neural Networks.
Yadong Wu, Juan Yao, P. Zhang +1 more·Aug 9, 2023
As a hybrid of artificial intelligence and quantum computing, quantum neural networks (QNNs) have gained significant attention as a promising application on near-term, noisy intermediate-scale quantum devices. Conventional QNNs are described by param...
Variational quantum algorithm for experimental photonic multiparameter estimation
V. Cimini, M. Valeri, S. Piacentini +5 more·Aug 4, 2023
Variational quantum metrology represents a powerful tool to optimize estimation strategies, resulting particularly beneficial for multiparameter estimation problems that often suffer from limitations due to the curse of dimensionality and computation...
Measurement-induced criticality is tomographically optimal
A. Akhtar, Hong-ye Hu, Yi-Zhuang You·Aug 3, 2023
We develop a classical shadow tomography protocol utilizing the randomized measurement scheme based on hybrid quantum circuits, which consist of layers of two-qubit random unitary gates mixed with single-qubit random projective measurements. Unlike c...
Neural-network-encoded variational quantum algorithms
Jiaqi Miao, Chang-Yu Hsieh, Shenmin Zhang·Aug 2, 2023
We introduce a general framework called neural network (NN) encoded variational quantum algorithms (VQAs), or NN-VQA for short, to address the challenges of implementing VQAs on noisy intermediate-scale quantum (NISQ) computers. Specifically, NN-VQA ...
Software Architecture Challenges in Integrating Hybrid Classical-Quantum Systems
V. Stirbu, T. Mikkonen·Aug 2, 2023
The emergence of quantum computing proposes a revolutionary paradigm that can radically transform numerous scientific and industrial application domains. The ability of quantum computers to scale computations exponentially imply better performance an...
Determining the ability for universal quantum computing: Testing controllability via dimensional expressivity
Fernando Gago-Encinas, T. Hartung, D. Reich +2 more·Aug 1, 2023
Operator controllability refers to the ability to implement an arbitrary unitary in SU(N) and is a prerequisite for universal quantum computing. Controllability tests can be used in the design of quantum devices to reduce the number of external contr...
Photonic counterdiabatic quantum optimization algorithm
P. Chandarana, Koushik Paul, Mikel Garcia-de-Andoin +3 more·Jul 27, 2023
One of the key applications of near-term quantum computers has been the development of quantum optimization algorithms. However, these algorithms have largely been focused on qubit-based technologies. Here, we propose a hybrid quantum-classical appro...
QPLEX: Realizing the Integration of Quantum Computing into Combinatorial Optimization Software
J. Giraldo, José Ossorio, Norha M. Villegas +2 more·Jul 26, 2023
Quantum computing has the potential to surpass the capabilities of current classical computers when solving complex problems. Combinatorial optimization has emerged as one of the key target areas for quantum computers as problems found in this field ...
Fundamental causal bounds of quantum random access memories
Yunfei Wang, Y. Alexeev, Liang Jiang +2 more·Jul 25, 2023
Our study evaluates the limitations and potentials of Quantum Random Access Memory (QRAM) within the principles of quantum physics and relativity. QRAM is crucial for advancing quantum algorithms in fields like linear algebra and machine learning, pu...
Charge and entanglement criticality in a U(1)-symmetric hybrid circuit of qubits
Ahana Chakraborty, Kun Chen, A. Zabalo +2 more·Jul 24, 2023
We study critical properties of the entanglement and charge-sharpening measurement-induced phase transitions in a non-unitary quantum circuit evolving with a U(1) conserved charge. Our numerical estimation of the critical properties of the entangleme...
Randomized semi-quantum matrix processing
Allan D. C. Tosta, Thais de Lima Silva, G. Camilo +1 more·Jul 21, 2023
We present a hybrid quantum-classical framework for simulating generic matrix functions more amenable to early fault-tolerant quantum hardware than standard quantum singular-value transformations. The method is based on randomization over the Chebysh...
On quantum annealing without a physical quantum annealer
Ameya Bhave, Ajinkya Borle·Jul 19, 2023
Quantum annealing is an emerging metaheuristic used for solving combinatorial optimisation problems. However, hardware based physical quantum annealers are primarily limited to a single vendor. As an alternative, we can discretise the quantum anneali...
A comment on"Factoring integers with sublinear resources on a superconducting quantum processor"
T. Khattar, N. Yosri·Jul 18, 2023
Quantum computing has the potential to revolutionize cryptography by breaking classical public-key cryptography schemes, such as RSA and Diffie-Hellman. However, breaking the widely used 2048-bit RSA using Shor's quantum factoring algorithm is expect...
Enhancing Dispersive Readout of Superconducting Qubits through Dynamic Control of the Dispersive Shift: Experiment and Theory
François Swiadek, R. Shillito, P. Magnard +9 more·Jul 15, 2023
The performance of a wide range of quantum computing algorithms and protocols depends critically on the fidelity and speed of the employed qubit readout. Examples include gate sequences benefiting from midcircuit real-time measurement-based feedback,...
Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning
Francesco Preti, Michael Schilling, S. Jerbi +4 more·Jul 12, 2023
Shortening quantum circuits is crucial to reducing the destructive effect of environmental decoherence and enabling useful algorithms. Here, we demonstrate an improvement in such compilation tasks via a combination of using hybrid discrete-continuous...