Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
NMR Protocol for Black-Box Ergotropy Estimation via Feedback Algorithm
Jitendra Joshi, T. S. Mahesh·Sep 6, 2024
Considering the emerging applications of quantum technologies, studying energy storage and usage at the quantum level is of great interest. In this context, there is a significant contemporary interest in studying ergotropy, the maximum amount of wor...
PARALLAX: A Compiler for Neutral Atom Quantum Computers under Hardware Constraints
J. Ludmir, Tirthak Patel·Sep 6, 2024
Among different quantum computing technologies, neutral atom quantum computers have several advantageous features, such as multi-qubit gates, application-specific topologies, movable qubits, homogenous qubits, and long-range interactions. However, ex...
An Equivariant Machine Learning Decoder for 3D Toric Codes
Oliver Weissl, E. Egorov·Sep 6, 2024
Research on mitigating errors in computing and communication systems has grown with their widespread use. In quantum computing, error correction is crucial as errors can quickly propagate, undermining results and the theoretical speedup over classica...
Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography
Pingzhi Li, Tianlong Chen, Junyu Liu·Sep 6, 2024
Federated learning (FL) has become one of the standard approaches for deploying machine learning models on edge devices, where private training data are distributed across clients, and a shared model is learned by aggregating locally computed updates...
Classical Algorithms for Hamiltonian Dynamics Mean Value and Guided Local Hamiltonian Problem
Yusen Wu, Yukun Zhang, Chuan Wang +1 more·Sep 6, 2024
The efficient simulation of quantum dynamics and ground states is a central challenge in physics and a key frontier for quantum advantage. While short-time evolution in one-dimensional systems can often be simulated classically, extending this to hig...
Low-depth phase oracle using a parallel piecewise circuit
Zhu Sun, Gregory Boyd, Zhenyu Cai +7 more·Sep 6, 2024
We explore the important task of applying a phase $\exp(i\,f(x))$ to a computational basis state $\left| x \right>$. The closely related task of rotating a target qubit by an angle depending on $f(x)$ is also studied. Such operations are key in many ...
Better bounds on finite-order Grothendieck constants
Sébastien Designolle, Tamás Vértesi, Sebastian Pokutta·Sep 5, 2024
Grothendieck constants $K_G(d)$ bound the advantage of $d$-dimensional strategies over $1$-dimensional ones in a specific optimisation task. They have applications ranging from approximation algorithms to quantum nonlocality. However, apart from $d=2...
Quantum complexity and localization in random and time-periodic unitary circuits
Himanshu Sahu, Aranya Bhattacharya, Pingal Pratyush Nath·Sep 5, 2024
We study the growth and saturation of complexity in Krylov basis in random quantum circuits. In Haar-random unitary evolution, we show that, for large system sizes, this notion of complexity grows linearly before saturating at a late-time value of $d...
Rare Events and Griffiths Phases in Topological Quantum Error Correction
Adithya Sriram, Nicholas O'Dea, Yaodong Li +2 more·Sep 5, 2024
The performance of quantum error correcting (QEC) codes are often studied under the assumption of spatio-temporally uniform error rates. On the other hand, experimental implementations almost always produce heterogeneous error rates, in either space ...
Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems
Freya Shah, Taylor L. Patti, Julius Berner +3 more·Sep 5, 2024
Fourier Neural Operators (FNOs) excel on tasks using functional data, such as those originating from partial differential equations. Such characteristics render them an effective approach for simulating the time evolution of quantum wavefunctions, wh...
Bias-field digitized counterdiabatic quantum algorithm for higher-order binary optimization
Sebastián V. Romero, A. Visuri, Alejandro Gomez Cadavid +3 more·Sep 5, 2024
Combinatorial optimization plays a crucial role in many industrial applications. While classical computing often struggles with complex instances, quantum optimization emerges as a promising alternative. Here, we present an enhanced bias-field digiti...
Absorbing state transitions with long-range annihilation
N. O’Dea, Sayak Bhattacharjee, S. Gopalakrishnan +1 more·Sep 5, 2024
We introduce a family of classical stochastic processes describing diffusive particles undergoing branching and long-range annihilation in the presence of a parity constraint. The probability for a pair-annihilation event decays as a power-law in the...
Quantum natural gradient with geodesic corrections for small shallow quantum circuits
Mourad Halla·Sep 5, 2024
The Quantum Natural Gradient (QNG) method enhances optimization in variational quantum algorithms (VQAs) by incorporating geometric insights from the quantum state space through the Fubini-Study metric. In this work, we extend QNG by introducing high...
Predicting quantum channels over general product distributions
Sitan Chen, Jaume de Dios Pont, Jun-Ting Hsieh +3 more·Sep 5, 2024
We investigate the problem of predicting the output behavior of unknown quantum channels. Given query access to an $n$-qubit channel $E$ and an observable $O$, we aim to learn the mapping \begin{equation*} \rho \mapsto \mathrm{Tr}(O E[\rho]) \end{equ...
Enhancing the performance of variational quantum classifiers with hybrid autoencoders
Georgios Maragkopoulos, Aikaterini Mandilara, Antonia Tsili +1 more·Sep 5, 2024
Variational quantum circuits (VQC) lie at the forefront of quantum machine learning research. Still, the use of quantum networks for real data processing remains challenging as the number of available qubits cannot accommodate a large dimensionality ...
DasAtom: A Divide-and-Shuttle Atom Approach to Quantum Circuit Transformation
Yunqi Huang, Dingchao Gao, Shenggang Ying +1 more·Sep 5, 2024
neutral atom (NA) quantum systems are emerging as a leading platform for quantum computation, offering superior or competitive qubit count and gate fidelity compared to superconducting circuits and ion traps. However, the unique features of NA device...
On-chip high-dimensional entangled photon sources
Tavshabad Kaur, Daniel Peace, Jacquiline Romero·Sep 5, 2024
High-dimensional quantum entanglement is an important resource for emerging quantum technologies such as quantum communication and quantum computation. The scalability of metres-long experimental setups limits high-dimensional entanglement in bulk op...
Hybrid Oscillator-Qubit Quantum Processors: Simulating Fermions, Bosons, and Gauge Fields
Eleanor Crane, Kevin C. Smith, T. Tomesh +9 more·Sep 5, 2024
We develop a hybrid oscillator-qubit processor framework for quantum simulation of strongly correlated fermions and bosons that avoids the boson-to-qubit mapping overhead encountered in qubit hardware. This framework gives exact decompositions of par...
Splitting and connecting singlets in atomic quantum circuits
Zijie Zhu, Yann Kiefer, Samuel Jele +4 more·Sep 4, 2024
Gate operations composed in quantum circuits form the basis for digital quantum simulation and quantum processing. While two-qubit gates generally operate on nearest neighbours, many circuits require nonlocal connectivity and necessitate some form of...
Federated Quantum-Train with Batched Parameter Generation
Chen-Yu Liu, Samuel Yen-Chi Chen·Sep 4, 2024
In this work, we introduce the Federated Quantum-Train (QT) framework, which integrates the QT model into federated learning to leverage quantum computing for distributed learning systems. Quantum client nodes employ Quantum Neural Networks (QNNs) an...