Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
28,188
This Month
0
Today
0
Research Volume
13,351 papers in 12 months (+7% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Entanglement with neutral atoms in the simulation of nonequilibrium dynamics of one-dimensional spin models
Anupam Mitra·Jun 7, 2024
Quantum entanglement is a key ingredient for quantum information processing with capabilities beyond that of classical computation. We study the generation and role of entanglement in the dynamics of spin-1/2 models, both for the design of quantum ga...
Quantum Nuclear Dynamics on a Distributed Set of Ion-Trap Quantum Computing Systems.
Anurag Dwivedi, A. Rasmusson, Philip Richerme +1 more·Jun 7, 2024
Quantum nuclear dynamics with wavepacket time evolution is classically intractable and viewed as a promising avenue for quantum information processing. Here, we use IonQ, Inc.'s 11-qubit trapped-ion quantum computer, Harmony, to study the quantum wav...
Residue Number System (RNS) Based Distributed Quantum Addition
Bhaskar Gaur, Travis S. Humble, Himanshu Thapliyal·Jun 7, 2024
Quantum Arithmetic faces limitations such as noise and resource constraints in the current Noisy Intermediate Scale Quantum (NISQ) era quantum computers. We propose using Distributed Quantum Computing (DQC) to overcome these limitations by substituti...
Robust preparation of ground state phases under noisy imaginary time evolution
Aleksei Khindanov, Yongxin Yao, T. Iadecola·Jun 6, 2024
Nonunitary state preparation protocols such as imaginary time evolution (ITE) offer substantial advantages relative to unitary ones, including the ability to prepare certain long-range correlated states more efficiently. Here, we ask whether such pro...
Path Integral Monte Carlo Simulation of Superfluid Ring Lattices
Orjan Ameye·Jun 6, 2024
The goal of this work is to lay the groundwork to construct and characterize a quantum device; which we refer to as a superfluid ring lattice; that could serve as a multi-qubit system in the future. Accordingly, a mathematical framework, called the I...
Leakage mobility in superconducting qubits as a leakage reduction unit
Joan Camps, Ophelia Crawford, G. P. Gehér +3 more·Jun 6, 2024
Leakage from the computational subspace is a damaging source of noise that degrades the performance of most qubit types. Unlike other types of noise, leakage cannot be overcome by standard quantum error correction techniques and requires dedicated le...
Probing quantum complexity via universal saturation of stabilizer entropies
Tobias Haug, Leandro Aolita, M. S. Kim·Jun 6, 2024
Nonstabilizerness or `magic' is a key resource for quantum computing and a necessary condition for quantum advantage. Non-Clifford operations turn stabilizer states into resourceful states, where the amount of nonstabilizerness is quantified by resou...
Quixer: A Quantum Transformer Model
Nikhil Khatri, Gabriel Matos, Luuk Coopmans +1 more·Jun 6, 2024
Progress in the realisation of reliable large-scale quantum computers has motivated research into the design of quantum machine learning models. We present Quixer: a novel quantum transformer model which utilises the Linear Combination of Unitaries a...
Simplification of tensor updates toward performance-complexity balanced quantum computer simulation
Koichi Yanagisawa, Tsuyoshi Okubo, Shota Koshikawa +3 more·Jun 5, 2024
Matrix Product States (MPS) provide a powerful framework for simulating quantum circuits. In practical simulations, tensor updates are typically performed in the canonical form (CF), which corresponds to the Schmidt decomposition and improves approxi...
Approximating dynamical correlation functions with constant depth quantum circuits
Reinis Irmejs, R. A. Santos·Jun 5, 2024
One of the most important quantities characterizing the microscopic properties of quantum systems are dynamical correlation functions. These correlations are obtained by time-evolving a perturbation of an eigenstate of the system, typically the groun...
Computational Power of Random Quantum Circuits in Arbitrary Geometries
M. DeCross, Reza Haghshenas, Minzhao Liu +34 more·Jun 4, 2024
Empirical evidence for a gap between the computational powers of classical and quantum computers has been provided by experiments that sample the output distributions of two-dimensional quantum circuits. Many attempts to close this gap have utilized ...
Entanglement accelerates quantum simulation
Qi Zhao, You Zhou, Andrew M. Childs·Jun 4, 2024
Quantum entanglement is an essential feature of many-body systems that impacts both quantum information processing and fundamental physics. Classical simulation methods can efficiently simulate many-body states with low entanglement, but struggle as ...
Generalized Cycle Benchmarking Algorithm for Characterizing Midcircuit Measurements
Zhihan Zhang, Senrui Chen, Yunchao Liu +1 more·Jun 4, 2024
Midcircuit measurements (MCMs) are crucial ingredients in the development of fault-tolerant quantum computation. While there have been rapid experimental progresses in realizing MCMs, a systematic method for characterizing noisy MCMs is still under e...
Demonstration of Erasure Conversion in a Molecular Tweezer Array
Connor M. Holland, Yukai Lu, Samuel J. Li +2 more·Jun 4, 2024
Programmable optical tweezer arrays of molecules are an emerging platform for quantum simulation and quantum information science. For these applications, reducing and mitigating errors that arise during initial state preparation and subsequent evolut...
Integrated error-suppressed pipeline for quantum optimization of nontrivial binary combinatorial optimization problems on gate-model hardware at the 156-qubit scale
Natasha Sachdeva, Gavin S. Hartnett, Smarak Maity +12 more·Jun 3, 2024
We introduce a novel hybrid quantum-classical variational optimization method for unconstrained binary combinatorial optimization problems on gate-model quantum computers, integrating a custom variational ansatz, staged feedback-based dual variationa...
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...
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 ...
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...
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 ...
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...