Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Digital-analog simulations of Schrödinger cat states in the Dicke-Ising model
Dmitriy S. Shapiro, Yannik Weber, Tim Bode +2 more·Dec 18, 2024
The Dicke-Ising model, one of the few paradigmatic models of matter-light interaction, exhibits a superradiant quantum phase transition above a critical coupling strength. However, in natural optical systems, its experimental validation is hindered b...
Two-qubit gate protocols with microwave-dressed Rydberg ions in a linear Paul trap
Joseph W. P. Wilkinson, Katrin Bolsmann, Thiago L. M. Guedes +2 more·Dec 18, 2024
Ultracold trapped atomic ions excited into highly energetic Rydberg states constitute a promising platform for scalable quantum information processing. Elementary building blocks for such tasks are high-fidelity and sufficiently fast entangling two-q...
Demonstrating dynamic surface codes
A. Eickbusch, Matthew J. McEwen, V. Sivak +204 more·Dec 18, 2024
A remarkable characteristic of quantum computing is the potential for reliable computation despite faulty qubits. This can be achieved through quantum error correction, which is typically implemented by repeatedly applying static syndrome checks, per...
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning
Hari Chittoor, P. Griffin, Ariel Neufeld +2 more·Dec 18, 2024
Long-term time series forecasting (LTSF) involves predicting a large number of future values of a time series based on the past values. This is an essential task in a wide range of domains including weather forecasting, stock market analysis and dise...
AI-Powered Algorithm-Centric Quantum Processor Topology Design
Tian Li, Xiao-Yue Xu, Chen Ding +4 more·Dec 18, 2024
Quantum computing promises to revolutionize various fields, yet the execution of quantum programs necessitates an effective compilation process. This involves strategically mapping quantum circuits onto the physical qubits of a quantum processor. The...
EOM Minimum Point Bias Voltage Estimation for Application in Quantum Computing
F. Obernosterer, Raimund Meyer, Robert Koch +3 more·Dec 18, 2024
In quantum computing systems the quantum states of qubits can be modified among others by applying light pulses. In order to achieve low computing error rates these pulses have to be precisely shaped in magnitude and phase. In practical applications,...
The random coupled-plaquette gauge model and the surface code under circuit-level noise
M. Rispler, D. Vodola, Markus Muller +1 more·Dec 18, 2024
We map the decoding problem of the surface code under depolarizing and syndrome noise to a disordered spin model, which we call the random coupled-plaquette gauge model (RCPGM). By coupling X- and Z-syndrome volumes, this model allows us to optimally...
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, ...
{\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...
Reducing QUBO Density by Factoring out Semi-Symmetries
Jonas Nusslein, Leo Sunkel, Jonas Stein +6 more·Dec 18, 2024
Quantum Approximate Optimization Algorithm (QAOA) and Quantum Annealing are prominent approaches for solving combinatorial optimization problems, such as those formulated as Quadratic Unconstrained Binary Optimization (QUBO). These algorithms aim to ...
Learning Complex Word Embeddings in Classical and Quantum Spaces
Carys Harvey, Stephen Clark, Douglas Brown +1 more·Dec 18, 2024
We present a variety of methods for training complex-valued word embeddings, based on the classical Skip-gram model, with a straightforward adaptation simply replacing the real-valued vectors with arbitrary vectors of complex numbers. In a more"physi...
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...
Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method
Farshad Amani, Amin Kargarian·Dec 18, 2024
This paper presents a quantum-enhanced optimization approach for solving optimal power flow (OPF) by integrating the interior point method (IPM) with a coherent variational quantum linear solver (CVQLS). The objective is to explore the applicability ...
Assessing fault-tolerant quantum advantage for $k$-SAT with structure
Martijn Brehm, Jordi Weggemans·Dec 17, 2024
For many problems, quantum algorithms promise speedups over their classical counterparts. However, these results predominantly rely on asymptotic worst-case analysis, which overlooks significant overheads due to error correction and the fact that rea...
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...
A quantum entropy production operator
Ge Bai, Francesco Buscemi, Valerio Scarani·Dec 17, 2024
We introduce a fully quantum notion of entropy production based on the noncommutative extension of the classical log-ratio between forward and reverse processes. Given a pair of quantum objects associated with the forward and reverse descriptions, we...
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...
Assessing Quantum and Classical Approaches to Combinatorial Optimization: Testing Quadratic Speed-ups for Heuristic Algorithms
Pedro C. S. Costa, Mauro E. S. Morales, Dong An +1 more·Dec 17, 2024
Many recent investigations conclude, based on asymptotic complexity analyses, that quantum computers could accelerate combinatorial optimization (CO) tasks relative to a purely classical computer. However, asymptotic analysis alone cannot support a c...
The Jacobi Factoring Circuit: Quantum Factoring with Near-Linear Gates and Sublinear Space and Depth
Gregory D. Kahanamoku-Meyer, Seyoon Ragavan, Vinod Vaikuntanathan +1 more·Dec 17, 2024
We present a compact quantum circuit for factoring a large class of integers, including some whose classical hardness is expected to be equivalent to RSA (but not including RSA integers themselves). Most notably, we factor n-bit integers of the form ...