Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Distributed Quantum Computing in Silicon
F. Afzal, M. Akhlaghi, Stefanie J. Beale +67 more·Jun 3, 2024
Commercially impactful quantum algorithms such as quantum chemistry and Shor's algorithm require a number of qubits and gates far beyond the capacity of any existing quantum processor. Distributed architectures, which scale horizontally by networking...
Spectroscopy and modeling of $^{171}$Yb Rydberg states for high-fidelity two-qubit gates
Michael Peper, Yiyi Li, Daniel Y. Knapp +8 more·Jun 3, 2024
Highly excited Rydberg states and their interactions play an important role in quantum computing and simulation. These properties can be predicted accurately for alkali atoms with simple Rydberg level structures. However, an extension of these method...
Quantum simulations of quantum electrodynamics in Coulomb gauge
Tianyin Li·Jun 3, 2024
In recent years, the quantum computing method has been used to address the sign problem in traditional Monte Carlo lattice gauge theory (LGT) simulations. We propose that the Coulomb gauge (CG) should be used in quantum simulations of LGT. Since the ...
Neutral-atom qubits in atom-molecular BEC
Leena Barshilia, Rajiuddin Sk, P. Panigrahi +1 more·Jun 3, 2024
Recently, neutral atoms have emerged as a promising platform for quantum computing, offering scalability. In this study, we showcase the realization of atomic qubits in atom-molecular Bose-Einstein condensate, belonging to three distinct classes. In ...
Carleman-Grad approach to the quantum simulation of fluids
Claudio Sanavio, Enea Mauri, Sauro Succi·Jun 3, 2024
We discuss the Carleman linearization approach to the quantum simulation of classical fluids based on Grad's generalized hydrodynamics and compare it to previous investigations based on lattice Boltzmann and Navier-Stokes formulations. We show that t...
Statistics-Informed Parameterized Quantum Circuit via Maximum Entropy Principle for Data Science and Finance
Xi-Ning Zhuang, Zhao-Yun Chen, Cheng Xue +7 more·Jun 3, 2024
Quantum machine learning has demonstrated significant potential in solving practical problems, particularly in statistics-focused areas such as data science and finance. However, challenges remain in preparing and learning statistical models on a qua...
Encoding lattice structures in Quantum Computational Basis States
Kalyan Dasgupta·Jun 3, 2024
Lattice models or structures are geometrical objects with mathematical forms, that are used to represent physical systems. They have been used widely in diverse fields, namely, in condensed matter physics, to study degrees of freedom of molecules in ...
Characterization and thermometry of dissipatively stabilized steady states
George Grattan, Alexandar M Liguori-Schremp, David Rodríguez Pérez +3 more·Jun 3, 2024
In this work we study the properties of dissipatively stabilized steady states of noisy quantum algorithms, exploring the extent to which they can be well approximated as thermal distributions, and proposing methods to extract the effective temperatu...
Resource-theoretic hierarchy of contextuality for general probabilistic theories
Lorenzo Catani, Thomas D. Galley, Tomáš Gonda·Jun 2, 2024
In this work we present a hierarchy of generalized contextuality. It refines the traditional binary distinction between contextual and noncontextual theories, and facilitates their comparison based on how contextual they are. Our approach focuses on ...
Qudit-inspired optimization for graph coloring
David Jansen, Timothy Heightman, Luke Mortimer +2 more·Jun 2, 2024
We introduce a quantum-inspired algorithm for graph coloring problems (GCPs) that utilizes qudits in a product state, with each qudit representing a node in the graph and parameterized by d-dimensional spherical coordinates. We propose and benchmark ...
Parallel quantum computing simulations via quantum accelerator platform virtualization
Daniel Claudino, Dmitry I. Lyakh, Alex McCaskey·Jun 1, 2024
Quantum circuit execution is the central task in quantum computation. Due to inherent quantum-mechanical constraints, quantum computing workflows often involve a considerable number of independent measurements over a large set of slightly different q...
A Novel Quantum-Classical Hybrid Algorithm for Determining Eigenstate Energies in Quantum Systems
Qing-Xing Xie, Yan Zhao·Jun 1, 2024
Developing efficient quantum computing algorithms is essential for tackling computationally challenging problems across various fields. This paper presents a novel quantum algorithm, XZ24, for efficiently computing the eigen-energy spectra of arbitra...
On Transversality Across Two Distinct Quantum Error Correction Codes For Quantum Repeaters
Mahdi Bayanifar, A. Ashikhmin, Dawei Jiao +1 more·Jun 1, 2024
In this paper, we investigate the transversality of pairs of CSS codes and their use in the second generation of quantum repeaters (QR)s. We show that different stations of quantum link can experience different errors. Considering this fact, we sugge...
Optimal Qubit Mapping Search for Encoding Classical Data into Matrix Product State Representation with Minimal Loss
Hyungjun Jeon, Kyungmin Lee, Dongkyu Lee +2 more·Jun 1, 2024
Matrix product state (MPS) offers a framework for encoding classical data into quantum states, enabling the efficient utilization of quantum resources for data representation and processing. This research paper investigates techniques to enhance the ...
Incompressible Navier-Stokes solve on noisy quantum hardware via a hybrid quantum-classical scheme
Zhixin Song, Robert Deaton, Bryan Gard +1 more·Jun 1, 2024
Partial differential equation solvers are required to solve the Navier-Stokes equations for fluid flow. Recently, algorithms have been proposed to simulate fluid dynamics on quantum computers. Fault-tolerant quantum devices might enable exponential s...
Assessing and advancing the potential of quantum computing: A NASA case study
E. Rieffel, A. A. Asanjan, M. Alam +20 more·Jun 1, 2024
Quantum computing is one of the most enticing computational paradigms with the potential to revolutionize diverse areas of future-generation computational systems. While quantum computing hardware has advanced rapidly, from tiny laboratory experiment...
Table-top nanodiamond interferometer enabling quantum gravity tests
Marta Vicentini, Ettore Bernardi, Matteo Bordin +6 more·May 31, 2024
Unifying quantum theory and general relativity is the holy grail of contemporary physics. Nonetheless, the lack of experimental evidence driving this process led to a plethora of mathematical models with a substantial impossibility of discriminating ...
RydbergGPT
David Fitzek, Y. H. Teoh, Hin Pok Fung +5 more·May 31, 2024
We introduce a generative pretrained transformer (GPT) designed to learn the measurement outcomes of a neutral atom array quantum computer. Based on a vanilla transformer, our encoder–decoder architecture takes as input the interacting Hamiltonian, a...
Demonstrating Experimentally the Encoding and Dynamics of an Error-Correctable Logical Qubit on a Hyperfine-Coupled Nuclear Spin Qudit.
Sumin Lim, Mikhail V. Vaganov, Junjie Liu +1 more·May 31, 2024
The realization of effective quantum error correction protocols remains a central challenge in the development of scalable quantum computers. Employing high-dimensional quantum systems (qudits) can offer more hardware-efficient protocols than qubit-b...
Pattern-based quantum functional testing
Erik Weiss, Marcel Cech, Stanislaw Soltan +4 more·May 31, 2024
With the growing number of qubits of quantum information processing devices, the task of fully characterizing these processors becomes increasingly unfeasible. From a practical perspective, one wants to find possible errors in the functioning of the ...