Papers
Live trends in quantum computing research, updated daily from arXiv.
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14,830 papers in 12 months (-23% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum State Preparation Circuit Optimization Exploiting Don't Cares
Hanyu Wang, Daniel Bochen Tan, Jason Cong·Sep 2, 2024
Quantum state preparation initializes the quantum registers and is essential for running quantum algorithms. Designing state preparation circuits that entangle qubits efficiently with fewer two-qubit gates enhances accuracy and alleviates coupling co...
Quantum computing for discrete optimization: A highlight of three technologies
A. Bochkarev, R. Heese, Sven Jäger +2 more·Sep 2, 2024
Quantum optimization has emerged as a promising frontier of quantum computing, providing novel numerical approaches to mathematical optimization problems. The main goal of this paper is to facilitate interdisciplinary research between the Operations ...
A Survey and Comparison of Post-Quantum and Quantum Blockchains
Zebo Yang, Haneen Alfauri, Behrooz Farkiani +3 more·Sep 2, 2024
Blockchains have gained substantial attention from academia and industry for their ability to facilitate decentralized trust and communications. However, the rapid progress of quantum computing poses a significant threat to the security of existing b...
Optimal training of finitely sampled quantum reservoir computers for forecasting of chaotic dynamics
Osama Ahmed, Felix Tennie, Luca Magri·Sep 2, 2024
In the current Noisy Intermediate Scale Quantum (NISQ) era, the presence of noise deteriorates the performance of quantum computing algorithms. Quantum reservoir computing (QRC) is a type of quantum machine learning algorithm, which, however, can ben...
On encoded quantum gate generation by iterative Lyapunov-based methods
Paulo Sergio Pereira da Silva, Pierre Rouchon·Sep 2, 2024
The problem of encoded quantum gate generation is studied in this paper. The idea is to consider a quantum system of higher dimension $n$ than the dimension $\bar n$ of the quantum gate to be synthesized. Given two orthonormal subsets $\mathbb{E} = \...
Optimal displacement detection of arbitrarily-shaped levitated dielectric objects using optical radiation
Shaun Laing, Shelby Klomp, George Winstone +6 more·Sep 1, 2024
Optically-levitated dielectric objects are promising for precision force, acceleration, torque, and rotation sensing due to their extreme environmental decoupling. While many levitated opto-mechanics experiments employ spherical objects, for some app...
GALIC: hybrid multi-qubitwise pauli grouping for quantum computing measurement
Matthew X. Burns, Chenxu Liu, S. Stein +3 more·Sep 1, 2024
Observable estimation is a core primitive in NISQ-era algorithms targeting quantum chemistry applications. To reduce the state preparation overhead required for accurate estimation, recent works have proposed various simultaneous measurement schemes ...
Quantum Machine Learning Playground
Pascal Debus, Sebastian Issel, Kilian Tscharke·Sep 1, 2024
This article introduces an innovative interactive visualization tool designed to demystify quantum machine learning (QML) algorithms. Our work is inspired by the success of classical machine learning visualization tools, such as TensorFlow Playground...
An Efficient Quantum Binary-Neuron Algorithm for Accurate Multi-Story Floor Localization
Yousef Zook, A. Shokry, Moustafa Youssef·Sep 1, 2024
Accurate floor localization in a multi-story environment is an important but challenging task. Among the current floor localization techniques, fingerprinting is the mainstream technology due to its accuracy in noisy environments. To achieve accurate...
High-Precision Multi-Qubit Clifford+T Synthesis by Unitary Diagonalization
Mathias Weiden, Justin Kalloor, J. Kubiatowicz +2 more·Aug 31, 2024
Resource-efficient and high-precision approximate synthesis of quantum circuits expressed in the Clifford+T gate set is vital for Fault-Tolerant quantum computing. Efficient optimal methods are known for single-qubit RZ unitaries, otherwise the probl...
Resource state generation for a multispin register in a hybrid matter-photon quantum information processor
Yu Liu, Martin B. Plenio·Aug 30, 2024
Hybrid quantum architectures that integrate matter and photonic degrees of freedom present a promising pathway toward scalable, fault-tolerant quantum computing. This approach needs to combine well-established entangling operations between distant re...
Diagnosing crosstalk in large-scale QPUs using zero-entropy classical shadows
J. A. Montañez-Barrera, G. Beretta, K. Michielsen +1 more·Aug 30, 2024
As quantum processing units (QPUs) scale toward hundreds of qubits, diagnosing noise-induced correlations (crosstalk) becomes critical for reliable quantum computation. In this work, we introduce Zero-Entropy Classical Shadows (ZECS), a diagnostic to...
Optimization of Postselection in Quantum Algorithms: A Two-Way Quantum Computing Approach
A. Linden, Betul Gul·Aug 30, 2024
Postselection is an operation that allows the selection of specific measurement outcomes. It serves as a powerful theoretical tool for enhancing the performance of existing quantum algorithms. Despite recent developments such as time reversal in quan...
Quantum algorithms for hypergraph simplex finding
Zhiyin Yu, S. Ben-David·Aug 30, 2024
We study the quantum query algorithms for simplex finding, a generalization of triangle finding to hypergraphs. This problem satisfies a rank-reduction property: a quantum query algorithm for finding simplices in rank-$r$ hypergraphs can be turned in...
Using Quantum Solved Deep Boltzmann Machines to Increase the Data Efficiency of RL Agents
Daniel Kent, Clement O'Rourke, Jake Southall +2 more·Aug 30, 2024
Deep Learning algorithms, such as those used in Reinforcement Learning, often require large quantities of data to train effectively. In most cases, the availability of data is not a significant issue. However, for some contexts, such as in autonomous...
Nonequilibrium regimes for quasiparticles in superconducting qubits with gap-asymmetric junctions
G. Marchegiani, G. Catelani·Aug 30, 2024
Superconducting qubits hold promise for quantum computing, but their operation is challenged by various sources of noise, including excitations known as quasiparticles. Qubits with gap asymmetry larger than their transition energy are less susceptibl...
Variational quantum simulation of ground states and thermal states for lattice gauge theory with multi-objective optimization
Lang Cheng, Dan-Bo Zhang·Aug 30, 2024
Variational quantum algorithms provide feasible approaches for simulating quantum systems and are applied widely. For lattice gauge theory, however, variational quantum simulation faces a challenge as local gauge invariance enforces a constraint on t...
Quantum Advantage via Efficient Postprocessing on Qudit Classical Shadow Tomography.
Yu Wang·Aug 29, 2024
Computing inner products of the form tr(AB), where A is a d-dimensional density matrix [with tr(A)=1, A≥0] and B is a bounded-norm observable [Hermitian with tr(B^{2})≤O[poly(logd)] and tr(B) known], is fundamental across quantum science and artifici...
Distributed quantum machine learning via classical communication
Kiwmann Hwang, Hyang-Tag Lim, Yong-Su Kim +2 more·Aug 29, 2024
Quantum machine learning is emerging as a promising application of quantum computing due to its distinct way of encoding and processing data. It is believed that large-scale quantum machine learning demonstrates substantial advantages over classical ...
Optimal Trace Distance and Fidelity Estimations for Pure Quantum States
Qisheng Wang·Aug 29, 2024
Measuring the distinguishability between quantum states is a basic problem in quantum information theory. In this paper, we develop optimal quantum algorithms that estimate both the trace distance and the (square root) fidelity between pure states to...