Papers

Samuele Piccinelli, Alberto Baiardi, Stefano Barison +12 more·Aug 4, 2025

Quantum algorithms based on classical processing of individual samples have recently emerged as the most effective and robust methods to approximate ground-state wave functions of many-body quantum systems on pre-fault-tolerant and early-fault-tolera...

Toma Yoneya, Kazuya Fujimoto, Yuki Kawaguchi·Aug 4, 2025

The Monte Carlo (MC) trajectory sampling of stochastic differential equations (SDEs) based on the quasiprobabilities, such as the Glauber-Sudarshan P, Wigner, and Husimi Q functions, enables us to investigate bosonic open quantum many-body dynamics d...

Yiyu Zhou, Yufeng Wu, Chunzhen Li +4 more·Aug 4, 2025

Superconducting quantum processors are a leading platform for implementing practical quantum computation algorithms. Although superconducting quantum processors with hundreds of qubits have been demonstrated, their further scaling up is constrained b...

Christopher Mastandrea, Costin Iancu, Hao Guo +1 more·Aug 4, 2025

A spin-1 system can exhibit an intermediate-temperature topological regime with a quantized Uhlmann phase sandwiched by topologically trivial low- and high-temperature regimes. We present a quantum circuit consisting of system and ancilla qubits plus...

.Ilker Polat, Ramon W. J. Overwater, M. Rimbach-Russ +1 more·Aug 4, 2025

A fundamental challenge in quantum computing is to increase the number of operations within the qubit coherence time. While this can be achieved by decreasing the gate duration, the use of shorter signals increases their bandwidth and can cause leaka...

L. Andersson, Benjamin Olsson, Simone Gasparinetti +1 more·Aug 4, 2025

A stepped-impedance low-pass filter with integrated hollow waveguide absorbers is presented. The filter combines low insertion loss in the passband with strong attenuation at high frequencies, making it well suited for superconducting quantum computi...

Anthony Wilkie, Alexander DeLise, A. D. Real +2 more·Aug 4, 2025

Quantum computing approaches excel at solving quadratic unconstrained binary optimization (QUBO) problems, however solving quadratic constrained binary optimization problems (QCBOs) is more challenging. In this work, we develop a variational approach...

Ward van der Schoot, Niels M. P. Neumann·Aug 4, 2025

With a growing interest in quantum computing, the number of proposed quantum algorithms grows as well. The practical applicability of these algorithms differs: Some can be applied out-of-the-box, while others require black box oracles, which can not ...

M. Mints, Finn Voichick, Leonidas Lampropoulos +1 more·Aug 4, 2025

Most existing quantum programming languages are based on the quantum circuit model of computation, as higher-level abstractions are particularly challenging to implement—especially ones relating to quantum control flow. The Qunity language, proposed ...

Hanna Linn, Lucas Knuthson, A. Irback +3 more·Aug 4, 2025

Quantum heuristics have shown promise in solving various optimization problems, including lattice protein folding. Equally relevant is the inverse problem, protein design, where one seeks sequences that fold to a given target structure. The latter pr...

Muhammad Faizan, Muhammad Faryad·Aug 3, 2025

We analytically investigate the robustness of the Bernstein--Vazirani algorithm in the presence of bit flip, phase flip, and depolarizing noise using the density matrix formalism. We derive the exact expressions for the algorithm's success probabilit...

Ugur G. Abdulla, Jose H. Rodrigues, Jean-Jacques Slotine·Aug 3, 2025

This paper aims to devise the shape of the external electromagnetic field that drives the spin dynamics of radical pairs to a quantum coherent state through maximization of the triplet-born singlet yield in biochemical reactions. The model is a Schrö...

Zhijie Fan, Tianning Xiao, Youjin Deng·Aug 3, 2025

We formulate a path-integral Monte Carlo algorithm for simulating lattice systems consisting of fictitious particles governed by a generalized exchange statistics. This method, initially proposed for continuum systems, introduces a continuous paramet...

Yize Sun, Mohamad Hagog, Marc Weber +4 more·Aug 3, 2025

This paper investigates the integration of quantum computing into offline reinforcement learning and the deployment of the resulting quantum policy in a real-time control hardware realization of the cart-pole system. Variational Quantum Circuits (VQC...

Nicolas Rodriguez-Alvarez, F. Merino·Aug 3, 2025

The steady advancement in quantum computer error correction technology has pushed the current record to 48 stable logical qubits, bringing us closer to machines capable of running Shor's algorithm at scales that threaten RSA and ECC cryptography. Whi...

Edwin Tham, Min Ye, Ilia Khait +2 more·Aug 3, 2025

We propose an architecture for a quantum memory distributed over a $2 \times L$ array of modules equipped with a cyclic shift implemented via flying qubits. The logical information is distributed across the first row of $L$ modules and quantum error ...

Shoya Sasaki, Katsuhiro Endo, Mayu Muramatsu·Aug 3, 2025

Hamiltonian simulation is a fundamental algorithm in quantum computing that has attracted considerable interest owing to its potential to efficiently solve the governing equations of large-scale classical systems. Exponential speedup through Hamilt...

Nhat A. Nghiem, Tzu-Chieh Wei·Aug 2, 2025

Topological data analysis (TDA) is a rapidly growing area that applies techniques from algebraic topology to extract robust features from large-scale data. A key task in TDA is the estimation of (normalized) Betti numbers, which capture essential top...

Kosei Hatakeyama, Daisuke Miki, Kazuhiro Yamamoto·Aug 2, 2025

We investigate the advantage of using squeezed input light for generating gravity-induced entanglement (GIE) through Fourier-domain analysis. Based on the findings of Ref.~\cite{Miki2024}, which demonstrated the feasibility of detecting GIE in optome...

ZeKe Xiao, Qin Wang, Yuekang Li +1 more·Aug 2, 2025

Smart contracts are important for digital finance, yet they are hard to patch once deployed. Prior work has mainly explored LLMs for smart contract vulnerability detection, leaving end-to-end automated exploit generation (AEG) much less understood. W...