Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
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...
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...
Reinforcement learning pulses for transmon qubit entangling gates
Ho Nam Nguyen, F. Motzoi, Mekena Metcalf +5 more·Nov 7, 2023
The utility of a quantum computer is highly dependent on the ability to reliably perform accurate quantum logic operations. For finding optimal control solutions, it is of particular interest to explore model-free approaches, since their quality is n...
Experimental demonstration of Continuous-Variable Quantum Key Distribution with a silicon photonics integrated receiver
Yoann Pi'etri, Luis Trigo Vidarte, Matteo Schiavon +4 more·Nov 7, 2023
Quantum Key Distribution (QKD) is a prominent application in the field of quantum cryptography providing information-theoretic security for secret key exchange. The implementation of QKD systems on photonic integrated circuits (PICs) can reduce the s...
Quantum speedups for linear programming via interior point methods
Simon Apers, Sander Gribling·Nov 6, 2023
We describe a quantum algorithm based on an interior point method for solving a linear program with $n$ inequality constraints on $d$ variables. The algorithm explicitly returns a feasible solution that is $\varepsilon$-close to optimal, and runs in ...
Sparse Quantum State Preparation for Strongly Correlated Systems.
C'esar Feniou, Olivier Adjoua, Baptiste Claudon +3 more·Nov 6, 2023
Quantum computing allows, in principle, the encoding of the exponentially scaling many-electron wave function onto a linearly scaling qubit register, offering a promising solution to overcome the limitations of traditional quantum chemistry methods. ...
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 ...
Improved Noisy Syndrome Decoding of Quantum LDPC Codes with Sliding Window
Shilin Huang, S. Puri·Nov 6, 2023
Quantum error correction (QEC) with single-shot decoding enables reduction of errors after every single round of noisy stabilizer measurement, easing the time-overhead requirements for fault tolerance. Notably, several classes of quantum low-density-...
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...
Quantum Task Offloading with the OpenMP API
Joseph Lee, O. T. Brown, M. Bull +4 more·Nov 6, 2023
Most of the widely used quantum programming languages and libraries are not designed for the tightly coupled nature of hybrid quantum-classical algorithms, which run on quantum resources that are integrated on-premise with classical HPC infrastructur...
Indirect Quantum Approximate Optimization Algorithms: application to the TSP
E. Bourreau, G. Fleury, P. Lacomme·Nov 6, 2023
We propose an Indirect Quantum Approximate Optimization Algorithm (referred to as IQAOA) where the Quantum Alternating Operator Ansatz takes into consideration a general parameterized family of unitary operators to efficiently model the Hamiltonian d...
From conceptual spaces to quantum concepts: formalising and learning structured conceptual models
Sean Tull, R. A. Shaikh, Sara Sabrina Zemljič +1 more·Nov 6, 2023
In this article we present a new modelling framework for structured concepts using a category-theoretic generalisation of conceptual spaces, and show how the conceptual representations can be learned automatically from data, using two very different ...
Ground-state-energy calculation for the water molecule on a superconducting quantum processor
Michael A. Jones, H. J. Vallury, L. Hollenberg·Nov 5, 2023
The accurate computation of properties of large molecular systems is classically infeasible and is one of the applications in which it is hoped that quantum computers will demonstrate an advantage over classical devices. However, due to the limitatio...
Single-Electron Qubits Based on Quantum Ring States on Solid Neon Surface.
T. Kanai, Dafei Jin, Wei Guo·Nov 4, 2023
Single electrons trapped on solid-neon surfaces have recently emerged as a promising platform for charge qubits. Experimental results have revealed their exceptionally long coherence times, yet the actual quantum states of these trapped electrons, pr...
Quantum transport on networks for supervised classification
Shmuel Lorber, Oded Zimron, I. L. Zak +2 more·Nov 4, 2023
Classification, the computational process of categorizing an input into pre-existing classes, is now a cornerstone in modern computation in the era of machine learning. Here we propose a new type of quantum classifier, based on quantum transport of p...
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...
Near-Optimal Quantum Algorithms for Bounded Edit Distance and Lempel-Ziv Factorization
D. Gibney, Ce Jin, Tomasz Kociumaka +1 more·Nov 3, 2023
Classically, the edit distance of two length-$n$ strings can be computed in $O(n^2)$ time, whereas an $O(n^{2-\epsilon})$-time procedure would falsify the Orthogonal Vectors Hypothesis. If the edit distance does not exceed $k$, the running time can b...
Noise-agnostic quantum error mitigation with data augmented neural models
Manwen Liao, Yan Zhu, G. Chiribella +1 more·Nov 3, 2023
Quantum error mitigation, a data processing technique for recovering the statistics of target processes from their noisy version, is a crucial task for near-term quantum technologies. Most existing methods require prior knowledge of the noise model o...
Geometric measures of quantum nonlocality: characterization, quantification, and comparison by distances and operations
G. Zanfardino, W. Roga, G. Tartaglione +2 more·Nov 3, 2023
We introduce a geometric framework for studying Bell nonlocality in Hilbert space, where, for a given quantum state, nonlocality is quantified by the distance between the state and the set of local states. This approach applies to any Bell inequality...
Majorana qubit codes that also correct odd-weight errors
Sourav Kundu, Ben W. Reichardt·Nov 3, 2023
The tetron architecture is a promising candidate for topological quantum computation. Each tetron Majorana island has four Majorana zero modes, and possible measurements are constrained to span zero or two Majoranas per tetron. Such measurements are ...