Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
EinExprs: Contraction Paths of Tensor Networks as Symbolic Expressions
Sergio Sánchez Ramírez, Jofre Vallès-Muns, Artur García-Sáez·Mar 26, 2024
Tensor Networks are graph representations of summation expressions in which vertices represent tensors and edges represent tensor indices or vector spaces. In this work, we present EinExprs.jl, a Julia package for contraction path optimization that o...
Quantum accelerated cross regression algorithm for multiview feature extraction
Hailing Liu, Yaqian Zhao, Ren-Gang Li +1 more·Mar 26, 2024
Multi-view Feature Extraction (MvFE) has wide applications in machine learning, image processing and other fields. When dealing with massive high-dimensional data, the performance of classical computer faces severe challenges due to MvFE involves exp...
Unveiling clean two-dimensional discrete time crystals on a digital quantum computer
Kazuya Shinjo, Kazuhiro Seki, Tomonori Shirakawa +2 more·Mar 25, 2024
In periodically driven (Floquet) systems, evolution typically results in an infinite-temperature thermal state due to continuous energy absorption over time. However, before reaching thermal equilibrium, such systems may transiently pass through a me...
Fidelity of wormhole teleportation in finite-qubit systems
Zeyu Liu, Pengfei Zhang·Mar 25, 2024
The rapid development of quantum science and technology is leading us into an era where quantum many-body systems can be comprehended through quantum simulations. Holographic duality, which states gravity and spacetime can emerge from strongly intera...
Holographic Gaussian Boson Sampling with Matrix Product States on 3D cQED Processors.
Ningyi Lyu, Paul Bergold, Micheline B. Soley +2 more·Mar 25, 2024
We introduce quantum circuits for simulations of multimode state vectors on 3D circuit quantum electrodynamics (cQED) processors using matrix product state representations. The circuits are demonstrated as applied to simulations of molecular docking ...
Computable and non-computable in the quantum domain: statements and conjectures
Aleksey K. Fedorov, E. Kiktenko, N. Kolachevsky·Mar 25, 2024
Significant advances in the development of computing devices based on quantum effects and the demonstration of their use to solve various problems have rekindled interest in the nature of the"quantum computational advantage."Although various attempts...
BeSnake: A Routing Algorithm for Scalable Spin-Qubit Architectures
Nikiforos Paraskevopoulos, C. G. Almudéver, Sebastian Feld·Mar 24, 2024
As quantum computing devices increase in size with respect to the number of qubits, two-qubit interactions become more challenging, necessitating innovative and scalable qubit routing solutions. In this work, we introduce beSnake, a novel algorithm s...
The Road to Near-Capacity CV-QKD Reconciliation: An FEC-Agnostic Design
Xin Liu, Chao Xu, Yasir J. Noori +2 more·Mar 24, 2024
New near-capacity continuous-variable quantum key distribution (CV-QKD) reconciliation schemes are proposed, where both the authenticated classical channel (ClC) and the quantum channel (QuC) for QKD are protected by separate forward error correction...
Depth scaling of unstructured search via quantum approximate optimization
E. Campos, D. Rabinovich, Alexey Uvarov·Mar 22, 2024
Variational quantum algorithms have become the de facto model for current quantum computations. A prominent example of such algorithms -- the quantum approximate optimization algorithm (QAOA) -- was originally designed for combinatorial optimization ...
Polynomial-Time Classical Simulation of Noisy IQP Circuits with Constant Depth
Joel Rajakumar, James D. Watson, Yi-Kai Liu·Mar 21, 2024
Sampling from the output distributions of quantum computations comprising only commuting gates, known as instantaneous quantum polynomial (IQP) computations, is believed to be intractable for classical computers, and hence this task has become a lead...
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention
Ethan N. Evans, Matthew Cook, Zachary P. Bradshaw +1 more·Mar 21, 2024
The recent exploding growth in size of state-of-the-art machine learning models highlights a well-known issue where exponential parameter growth, which has grown to trillions as in the case of the Generative Pre-trained Transformer (GPT), leads to tr...
Qu8its for quantum simulations of lattice quantum chromodynamics
Marc Illa, C. Robin, Martin J. Savage·Mar 21, 2024
We explore the utility of $d=8$ qudits, qu8its, for quantum simulations of the dynamics of 1+1D SU(3) lattice quantum chromodynamics, including a mapping for arbitrary numbers of flavors and lattice size and a re-organization of the Hamiltonian for e...
Scalability of quantum error mitigation techniques: from utility to advantage
S. N. Filippov, Sabrina Maniscalco, Guillermo Garc'ia-P'erez·Mar 20, 2024
Error mitigation has elevated quantum computing to the scale of hundreds of qubits and tens of layers; however, yet larger scales (deeper circuits) are needed to fully exploit the potential of quantum computing to solve practical problems otherwise i...
Quantum chaos in the sparse SYK model
Patrick Orman, H. Gharibyan, J. Preskill·Mar 20, 2024
The Sachdev-Ye-Kitaev (SYK) model is a system of N Majorana fermions with random interactions and strongly chaotic dynamics, which at low energy admits a holographically dual description as two-dimensional Jackiw-Teitelboim gravity. Hence the SYK mod...
Efficient thermalization and universal quantum computing with quantum Gibbs samplers
Cambyse Rouzé, Daniel Stilck França, Álvaro M. Alhambra·Mar 19, 2024
The preparation of thermal states of matter is a crucial task in quantum simulation. In this work, we prove that a recently introduced, efficiently implementable dissipative evolution thermalizes to the Gibbs state in time scaling polynomially with s...
Denoising of imaginary time response functions with Hankel projections
Yang Yu, A. F. Kemper, Chao Yang +1 more·Mar 19, 2024
Imaginary-time response functions of finite-temperature quantum systems are often obtained with methods that exhibit stochastic or systematic errors. Reducing these errors comes at a large computational cost—in quantum Monte Carlo simulations, the re...
Multiplexed quantum state transfer in waveguides
G. F. Peñas, R. Puebla, J. Garc'ia-Ripoll·Mar 18, 2024
In this article, we consider a realistic waveguide implementation of a quantum network that serves as a testbed to show how to maximize the storage and manipulation of quantum information in QED setups. We analyze two approaches using wavepacket engi...
Hamiltonian-reconstruction distance as a success metric for the variational quantum eigensolver
Leo Joon Il Moon, Mandar M. Sohoni, M. Shimizu +4 more·Mar 18, 2024
The variational quantum eigensolver (VQE) is a hybrid quantum–classical algorithm for quantum simulation that can be run on near-term quantum hardware. A challenge in VQE—as well as any other heuristic algorithm for finding ground states of Hamiltoni...
A tweezer array with 6,100 highly coherent atomic qubits
Hannah J. Manetsch, Gyohei Nomura, Elie Bataille +3 more·Mar 18, 2024
Optical tweezer arrays1,2 have transformed atomic and molecular physics, now forming the backbone for a range of leading experiments in quantum computing3, 4, 5, 6, 7–8, simulation1,9, 10, 11–12 and metrology13, 14–15. Typical experiments trap tens t...
Benefits of non-adiabatic quantum control in quantum computation through spin qubit systems
Nirupam Dutta·Mar 17, 2024
This is evident that the controllable quantum systems can be the reliable building blocks for Quantum computation. In reality we are witnessing the progress towards making the idea tractable enough, though optimistic but the threshold is not very nea...