Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Simulating Bell inequalities with Qibo
Isabella Masina, Giuseppe Lo Presti, Matteo Robbiati +1 more·Dec 18, 2024
We present educational material about Bell inequalities in the context of quantum computing. In particular, we provide software tools to simulate their violation, together with a guide for classroom discussion. The material is organized in three modu...
{\eta}-ensemble path integral Monte Carlo approach to the free energy of the warm dense electron gas and the uniform electron liquid
T. Dornheim, P. Tolias, Z. Moldabekov +1 more·Dec 18, 2024
We explore the recently introduced $\eta$-ensemble approach to compute the free energy directly from \emph{ab initio} path integral Monte Carlo (PIMC) simulations [T.~Dornheim \emph{et al.}, arXiv:2407.01044] and apply it to the archetypal uniform el...
Optimizing quantum transformation matrices: Block decomposition approach for efficient gate reduction
Kin Man Lai, Xin Wang·Dec 18, 2024
This paper introduces an algorithm designed to approximate quantum transformation matrix with a restricted number of gates by using the block decomposition technique. Addressing challenges posed by numerous gates in handling large qubit transformatio...
Scaling and logic in the colour code on a superconducting quantum processor
N. Lacroix, A. Bourassa, F. Heras +212 more·Dec 18, 2024
Quantum error correction1, 2, 3–4 is essential for bridging the gap between the error rates of physical devices and the extremely low error rates required for quantum algorithms. Recent error-correction demonstrations on superconducting processors5, ...
Optimal Hamiltonian recognition of unknown quantum dynamics
Chengkai Zhu, Shuyu He, Yu-Ao Chen +2 more·Dec 17, 2024
Identifying unknown Hamiltonians from their quantum dynamics is a pivotal challenge in quantum technologies. In this paper, we introduce Hamiltonian recognition, a framework that bridges quantum hypothesis testing and quantum metrology, aiming to ide...
Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity
S. Y. Chen·Dec 17, 2024
Recent advancements in quantum computing (QC) and machine learning (ML) have garnered significant attention, leading to substantial efforts toward the development of quantum machine learning (QML) algorithms to address a variety of complex challenges...
Near-Term Spin-Qubit Architecture Design via Multipartite Maximally Entangled States
Nikiforos Paraskevopoulos, M. Steinberg, B. Undseth +4 more·Dec 17, 2024
The design and benchmarking of quantum computer architectures traditionally rely on practical hardware restrictions, such as gate fidelities, control, and cooling. At the theoretical and software levels, numerous approaches have been proposed for ben...
Classical Simulation of Circuits with Realistic Odd-Dimensional Gottesman-Kitaev-Preskill States.
C. Calcluth, O. Hahn, J. Bermejo-Vega +2 more·Dec 17, 2024
Classically simulating circuits with bosonic codes is challenging due to the prohibitive cost of simulating quantum systems with many, possibly infinite, energy levels. We propose an algorithm to simulate circuits with encoded Gottesman-Kitaev-Preski...
Simulating imperfect quantum optical circuits using unsymmetrized bases
J. Steinmetz, Maike Ostmann, Alex Neville +2 more·Dec 17, 2024
Fault-tolerant photonic quantum computing requires the generation of large entangled resource states. The required size of these states makes it challenging to simulate the effects of errors such as loss and partial distinguishability. For an interfe...
End-to-end switchless architecture for fault-tolerant photonic quantum computing
Paul Renault, Patrick Yard, Raphael C. Pooser +2 more·Dec 17, 2024
Photonics represents one of the most promising approaches to large-scale quantum computation with millions of qubits and billions of gates, owing to the potential for room-temperature operation, high clock speeds, miniaturization of photonic circuits...
Quantum sampling on a quantum annealer for large volumes in the strong coupling limit for gauge group U(3)
Jangho Kim, Thomas Luu, Wolfgang Unger·Dec 16, 2024
In our previous studies [., Proc. Sci. LATTICE2023 () 219 [].], we confirmed that a quantum annealer can be used for importance sampling of gauge theories. In this paper, we extend the previous results to larger 2-dimensional and 4-dimensional lattic...
Learning interactions between Rydberg atoms
Olivier Simard, Anna Dawid, Joseph Tindall +3 more·Dec 16, 2024
Quantum simulators have the potential to solve quantum many-body problems that are beyond the reach of classical computers, especially when they feature long-range entanglement. To fulfill their prospects, quantum simulators must be fully controllabl...
Density Matrix Renormalization Group Study of Domain Wall Qubits
G. Qu, Ji Zou, Daniel Loss +1 more·Dec 16, 2024
Nanoscale topological spin textures in magnetic systems are emerging as promising candidates for scalable quantum architectures. Despite their potential as qubits, previous studies have been limited to semiclassical approaches, leaving a critical gap...
Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zuchongzhi 3.0 Processor.
Dongxin Gao, D. Fan, C. Zha +155 more·Dec 16, 2024
In the relentless pursuit of quantum computational advantage, we present a significant advancement with the development of Zuchongzhi 3.0. This superconducting quantum computer prototype, comprising 105 qubits, achieves high operational fidelities, w...
A Framework for Debugging Quantum Programs
Damian Rovara, Lukas Burgholzer, Robert Wille·Dec 16, 2024
Recent advancements in quantum computing software are gradually increasing the scope and size of quantum programs being developed. At the same time, however, these larger programs provide more possibilities for functional errors that are harder to de...
Differential Privacy Preserving Distributed Quantum Computing
Hui Zhong, Keyi Ju, Jiachen Shen +5 more·Dec 16, 2024
Existing quantum computers can only operate with hundreds of qubits in the Noisy Intermediate-Scale Quantum (NISQ) state, while quantum distributed computing (QDC) is regarded as a reliable way to address this limitation, allowing quantum computers t...
A simple quantum simulation algorithm with near-optimal precision scaling
A. Kalev, I. Hen·Dec 14, 2024
Quantum simulation is a foundational application for quantum computers, projected to offer insights into complex quantum systems beyond the reach of classical computation. However, with the exception of Trotter-based methods, which suffer from subopt...
Quantum error correction with Goppa codes from maximal curves: Design, simulation, and performance
Vahid Nourozi·Dec 13, 2024
This paper characterizes Goppa codes of certain maximal curves over finite fields defined by equations of the form $y^n = x^m + x$. We investigate Algebraic Geometric and quantum stabilizer codes associated with these maximal curves and propose modif...
Omnidirectional shuttling to avoid valley excitations in Si/SiGe quantum wells
Róbert Németh, Vatsal K. Bandaru, Pedro Alves +7 more·Dec 12, 2024
Conveyor-mode shuttling is a key approach for implementing intermediate-range coupling between electron-spin qubits in quantum dots. Initial implementations are encouraging; however, long shuttling trajectories are guaranteed to encounter regions of ...
Clifford Perturbation Approximation for Quantum Error Mitigation
Ruiqi Zhang, Yuguo Shao, Fuchuan Wei +3 more·Dec 12, 2024
Quantum error mitigation (QEM) is critical for harnessing the potential of near-term quantum devices. Particularly, QEM protocols can be designed based on machine learning, where the mapping between noisy computational outputs and ideal ones can be l...