Papers
Live trends in quantum computing research, updated daily from arXiv.
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28,807
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13,822 papers in 12 months (-12% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
HATT: Hamiltonian Adaptive Ternary Tree for Optimizing Fermion-to-Qubit Mapping
Yuhao Liu, Kevin Yao, Jonathan Hong +5 more·Sep 3, 2024
This paper introduces the Hamiltonian-Adaptive Ternary Tree (HATT) framework to compile optimized Fermion-to-qubit mapping for specific Fermionic Hamiltonians. In the simulation of Fermionic quantum systems, efficient Fermion-toqubit mapping plays a ...
Angular Momentum Entanglement Mediated By General Relativistic Frame Dragging
Trinidad B. Lantaño, Luciano Petruzziello, Susana F. Huelga +1 more·Sep 2, 2024
Current proposals to probe the quantum nature of gravity in the low-energy regime predominantly focus on the Newtonian interaction term. In this work, we present a theoretical exploration of gravitationally mediated entanglement arising from a genuin...
The optical architecture of a heterogenous quantum network deployed in production facilities
Alberto Sebastián-Lombraña, Hans H. Brunner, David Rincón +15 more·Sep 2, 2024
Quantum Communications promise advances in cryptography, quantum computing and clock synchronisation, among other emerging applications. However, communication based on quantum phenomena requires an extreme level of isolation from external disturbanc...
INTENTAS -- An entanglement-enhanced atomic sensor for microgravity
O. Anton, I. Bröckel, D. Derr +21 more·Sep 2, 2024
The INTENTAS project aims to develop an atomic sensor utilizing entangled Bose-Einstein condensates (BECs) in a microgravity environment. This key achievement is necessary to advance the capability for measurements that benefit from both entanglement...
An almost-linear time decoding algorithm for quantum LDPC codes under circuit-level noise
Antonio deMarti iOlius, Imanol Martinez, Joschka Roffe +1 more·Sep 2, 2024
Fault-tolerant quantum computers must be designed in conjunction with classical co-processors that decode quantum error correction measurement information in real-time. In this work, we introduce the belief propagation plus ordered Tanner forest (BP+...
Can Geometric Quantum Machine Learning Lead to Advantage in Barcode Classification?
Chukwudubem Umeano, Stefano Scali, O. Kyriienko·Sep 2, 2024
We consider the problem of distinguishing two vectors (visualized as images or barcodes) and learning if they are related to one another. For this, we develop a geometric quantum machine learning (GQML) approach with embedded symmetries that allows f...
Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling
Yuma Ichikawa, Yamato Arai·Sep 2, 2024
Learning-based methods have gained attention as general-purpose solvers due to their ability to automatically learn problem-specific heuristics, reducing the need for manually crafted heuristics. However, these methods often face scalability challeng...
Watermarking of Quantum Circuits
Rupshali Roy, Swaroop Ghosh·Sep 2, 2024
Quantum circuits constitute Intellectual Property (IP) of the quantum developers and users, which needs to be protected from theft by adversarial agents e.g., the quantum cloud provider or a rogue adversary present in the cloud. This necessitates the...
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...