Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,527 papers in 12 months (-19% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Observation of the non-Hermitian skin effect and Fermi skin on a digital quantum computer
Ruizhe Shen, Tianqi Chen, Bo Yang +1 more·Nov 16, 2023
Lately, the non-Hermitian skin effect (NHSE) has been demonstrated in various classical metamaterials and even ultracold atomic arrays. Yet, its interplay with many-body dynamics have never been experimentally investigated. Here, we report the observ...
Accurate and Honest Approximation of Correlated Qubit Noise
Setiawan F., A. Gramolin, E. Matekole +2 more·Nov 15, 2023
Accurate modeling of noise in realistic quantum processors is critical for constructing fault-tolerant quantum computers. While a full simulation of actual noisy quantum circuits provides information about correlated noise among all qubits and is the...
Identification of a natural fieldlike entanglement resource in trapped-ion chains
N. Klco, D. H. Beck·Nov 15, 2023
The electromagnetic trapping of ion chains can be regarded as a process of non-trivial entangled quantum state preparation within Hilbert spaces of the local axial motional modes. To begin uncovering properties of this entanglement resource produced ...
sQUlearn - A Python Library for Quantum Machine Learning
D. Kreplin, Moritz Willmann, Jan Schnabel +2 more·Nov 15, 2023
sQUlearn introduces a user-friendly, NISQ-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine learning tools like scikit-learn. The library's dual-layer architecture serves both QML resear...
Circuit-noise-resilient virtual distillation
Xiao-Yue Xu, Chen Ding, Shuo Zhang +2 more·Nov 14, 2023
Quantum error mitigation (QEM) is vital for improving quantum algorithms’ accuracy on noisy near-term devices. A typical QEM method, called Virtual Distillation (VD), can suffer from imperfect implementation, potentially leading to worse outcomes tha...
Reducing Entanglement with Physically Inspired Fermion-To-Qubit Mappings
Teodor Parella-Dilm'e, Korbinian Kottmann, Leonardo Zambrano +3 more·Nov 13, 2023
In electronic structure simulations, fermion-to-qubit mappings represent the initial encoding step from the problem of fermions into a problem of qubits. This work introduces a physically inspired method for constructing mappings that significantly s...
QudCom: Towards Quantum Compilation for Qudit Systems
Daniel Volya, Prabhat Mishra·Nov 13, 2023
Qudit-based quantum computation offers unique advantages over qubit-based systems in terms of noise mitigation capabilities as well as algorithmic complexity improvements. However, the software ecosystem for multi-state quantum systems is severely li...
Benchmarking Quantum Processor Performance at Scale
David C. McKay, Ian Hincks, E. Pritchett +3 more·Nov 10, 2023
As quantum processors grow, new performance benchmarks are required to capture the full quality of the devices at scale. While quantum volume is an excellent benchmark, it focuses on the highest quality subset of the device and so is unable to indica...
Blue-Detuned Magneto-optical Trap of CaF Molecules.
Samuel J. Li, Connor M. Holland, Yukai Lu +1 more·Nov 9, 2023
A key method to produce trapped and laser-cooled molecules is the magneto-optical trap (MOT), which is conventionally created using light red detuned from an optical transition. In this work, we report a MOT for CaF molecules created using blue-detun...
Learning Quantum Phase Estimation by Variational Quantum Circuits
Chen-Yu Liu, Kuan-Cheng Chen, Chu-Hsuan Abraham Lin·Nov 8, 2023
Quantum Phase Estimation (QPE) stands as a pivotal quantum computing subroutine that necessitates an inverse Quantum Fourier Transform (QFT). However, it is imperative to recognize that enhancing the precision of the estimation inevitably results in ...
A quantum central path algorithm for linear optimization
Brandon Augustino, J. Leng, G. Nannicini +2 more·Nov 7, 2023
We propose a novel quantum algorithm for solving linear optimization problems by quantum-mechanical simulation of the central path. While interior point methods follow the central path with an iterative algorithm that works with successive linearizat...
Compilation of product-formula Hamiltonian simulation via reinforcement learning
Lea M. Trenkwalder, Eleanor Scerri, T. O’Brien +1 more·Nov 7, 2023
Hamiltonian simulation is believed to be one of the first tasks where quantum computers can yield a quantum advantage. One of the most popular methods of Hamiltonian simulation is Trotterization, which makes use of the approximation $e^{i\sum_jA_j}\s...
Shaping photons: Quantum information processing with bosonic cQED
Adrian Copetudo, C. Fontaine, Fernando Valadares +1 more·Nov 7, 2023
With its rich dynamics, the quantum harmonic oscillator is an innate platform for understanding real-world quantum systems and could even excel as the heart of a quantum computer. A particularly promising and rapidly advancing platform that harnesses...
Integral algorithm of exponential observables for interacting fermions in quantum Monte Carlo simulations
Xu Zhang, Gaopei Pan, Bin-Bin Chen +2 more·Nov 6, 2023
Exponential observables, formulated as $\log \langle e^{\hat{X}}\rangle$ where $\hat{X}$ is an extensive quantity, play a critical role in study of quantum many-body systems, examples of which include the free-energy and entanglement entropy. Given t...
A low phase noise cavity transmission self-injection locked laser system for atomic physics experiments
L. Krinner, Kai Dietze, L. Pelzer +2 more·Nov 6, 2023
Lasers with high spectral purity are indispensable for optical clocks and coherent manipulation of atomic and molecular qubits for applications such as quantum computing and quantum simulation. Stabilisation of the laser to a reference can provide a ...
An integrated atom array-nanophotonic chip platform with background-free imaging
Shankar G. Menon, Noah Glachman, M. Pompili +2 more·Nov 3, 2023
Arrays of neutral atoms trapped in optical tweezers have emerged as a leading platform for quantum information processing and quantum simulation due to their scalability, reconfigurable connectivity, and high-fidelity operations. Individual atoms are...
Simulating Heavy-Hex Transverse Field Ising Model Magnetization Dynamics Using Programmable Quantum Annealers
Elijah Pelofske, Andreas Bartschi, S. Eidenbenz·Nov 3, 2023
Recently, a Hamiltonian dynamics simulation was performed on a kicked ferromagnetic 2D transverse field Ising model with a connectivity graph native to the 127 qubit heavy-hex IBM Quantum architecture using ZNE quantum error mitigation. We demonstrat...
Scalable Architecture for Trapped-Ion Quantum Computing Using rf Traps and Dynamic Optical Potentials
David Schwerdt, Lee Peleg, Yotam Shapira +9 more·Nov 2, 2023
Qubits based on ions trapped in linear radio-frequency traps form a successful platform for quantum computing, due to their high fidelity of operations, all-to-all connectivity, and degree of local control. In principle, there is no fundamental limit...
Quantum variational solving of nonlinear and multidimensional partial differential equations
Abhijat Sarma, Thomas W. Watts, Mudassir Moosa +2 more·Nov 2, 2023
A variational quantum algorithm for numerically solving partial differential equations (PDEs) on a quantum computer was proposed by Lubasch et al. In this paper, we generalize the method introduced by Lubasch et al. to cover a broader class of nonlin...
Distributed Simulation of Statevectors and Density Matrices
Tyson Jones, Bálint Koczor, S. Benjamin·Nov 2, 2023
Classical simulation of quantum computers is an irreplaceable step in the design of quantum algorithms. Exponential simulation costs demand the use of high-performance computing techniques, and in particular distribution, whereby the quantum state de...