Papers

Gyungmin Cho, Dohun Kim·Apr 22, 2025

Quantum hardware is advancing rapidly across various platforms, yet implementing large-scale quantum error correction (QEC) remains challenging. As hardware continues to improve, there is a growing need to identify potential applications on noisy qua...

Simon Apers, Minbo Gao, Zhengfeng Ji +1 more·Apr 22, 2025

We present a quantum algorithm for sampling random spanning trees from a weighted graph in $\widetilde{O}(\sqrt{mn})$ time, where $n$ and $m$ denote the number of vertices and edges, respectively. Our algorithm has sublinear runtime for dense graphs ...

Fernando Lima, Arcesio Castaneda Medina·Apr 22, 2025

Classical simulation of quantum circuits is a pivotal part of the quantum computing landscape, specially within the NISQ era, where the constraints imposed by available hardware are unavoidable. The Gottesman-Knill theorem further motivates this argu...

Mathias Weiden, Justin Kalloor, J. Kubiatowicz +1 more·Apr 22, 2025

Machine Learning with deep neural networks has transformed computational approaches to scientific and engineering problems. Central to many of these advancements are precisely tuned neural architectures that are tailored to the domains in which they ...

S. Martiel, Ali Javadi-Abhari·Apr 22, 2025

We introduce a low-overhead approach for detecting errors in arbitrary Clifford circuits on arbitrary qubit connectivities. Our method is based on the framework of spacetime codes, and is particularly suited to near-term hardware since it has a much ...

W. Gonzalez·Apr 22, 2025

In quantum information theory, maximally entangled states, specifically locally maximally entangled (LME) states, are essential for quantum protocols. While many focus on bipartite entanglement, applications such as quantum error correction and multi...

Hanbin Song, Xueyue Zhang, Lukasz Komza +9 more·Apr 21, 2025

Color centers provide an optical interface to quantum registers based on electron and nuclear spin qubits in solids. The T center in silicon is an emerging spin-photon interface that combines telecom O-band optical transitions and an electron spin in...

Leonhard Hölscher, Lukas Müller, Or Samimi +1 more·Apr 21, 2025

Engineering design processes involve iterative design evaluations requiring numerous computationally intensive numerical simulations. Quantum algorithms promise substantial speedups for specific tasks relevant to engineering simulations. However, the...

Brandon B. Le, Dustin Keller·Apr 21, 2025

We extract Compton form factors (CFFs) from deeply virtual Compton scattering measurements at the Thomas Jefferson National Accelerator Facility (JLab) using quantum-inspired deep neural networks (QDNNs). The analysis implements the twist-2 Belitsky-...

Claudia Núñez, Alba Cervera-Lierta, José Ignacio Latorre·Apr 21, 2025

Entanglement of fundamental degrees of freedom in particle physics is generated ab initio in scattering processes. In the case of a pure $SU(N)$ gauge theory, two gluons in a product state can be entangled in their polarizations as the result of thre...

Yash Saxena, Tharrmashastha Sapv, Sagnik Chatterjee +1 more·Apr 21, 2025

To utilize higher-dimensional quantum systems, in this Letter, we derive a generalized cross-resonance (GCR) scheme for realizing maximally entangling two-qutrit gates on fixed-frequency transmons beyond the 0-1 subspace. Our two-qutrit gates, namely...

Mainak Pal, Tista Banerjee·Apr 21, 2025

Rydberg atom quantum simulator platforms are novel quantum simulators for physical systems ranging from condensed matter to particle physics. In this paper, we study out-of-equilibrium quantum dynamics in a model of Rydberg atoms arranged in ladder g...

Sahel Ashhab·Apr 21, 2025

We develop a method to search for the optimal code space, induced decay rates and control Hamiltonian to implement autonomous quantum error correction (AQEC) for a general open quantum system. The system is defined by a free-evolution Lindbladian sup...

Huynh Le Dan Linh, Vu Tuan Hai, Le Bin Ho·Apr 21, 2025

Quantum process tomography (QPT) plays a central role in characterizing quantum gates and circuits, diagnosing quantum devices, calibrating hardware, and supporting quantum error correction. However, conventional QPT methods face challenges related t...

Bowen Yang·Apr 21, 2025

We provide a complete classification of Clifford quantum cellular automata (QCAs) on arbitrary metric spaces and any qudits (of prime or composite dimensions) in terms of algebraic L-theory. Building on the delooping formalism of Pedersen and Weibel,...

Xing M. Wang·Apr 21, 2025

We propose the Branched Hilbert Subspace Interpretation (BHSI) as an alternative perspective on quantum measurement. BHSI describes measurement as a unitary branching of the local Hilbert space into decoherent, independent, and unitarily evolving sub...

J. Leng, Kewen Wu, Xiaodi Wu +1 more·Apr 21, 2025

We demonstrate provable (sub)exponential quantum speedups in both discrete and continuous optimization, achieved through simple and natural quantum optimization algorithms, namely the quantum adiabatic algorithm for discrete optimization and quantum ...

Ashe Miller, Corey I. Ostrove, Jordan Hines +3 more·Apr 21, 2025

Classical simulation of noisy quantum circuits is essential for understanding quantum computing experiments. It enables scalable error characterization, analysis of how noise impacts quantum algorithms, and optimized implementations of quantum error ...

S. Stein, Chenxu Liu, Shuwen Kan +5 more·Apr 21, 2025

Multi-target gates offer the potential to reduce gate depth in syndrome extraction for quantum error correction. Although neutral-atom quantum computers have demonstrated native multi-qubit gates, existing approaches that avoid additional control or ...

Samuel Yen-Chi Chen, Zhiding Liang·Apr 21, 2025

Recent advancements in quantum computing (QC) and machine learning (ML) have fueled significant research efforts aimed at integrating these two transformative technologies. Quantum machine learning (QML), an emerging interdisciplinary field, leverage...