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quant-ph2025

Efficient simulation of low-entanglement bosonic Gaussian states in polynomial time

Tong Liu, Hui-Ke Jin, Tao Xiang +1

Bosonic Gaussian states are ubiquitous in quantum optics and condensed matter physics. While they are efficiently handled within the Gaussian formalism, sampling requires calculati…

quant-ph2025

Optimizing the dynamical preparation of quantum spin lakes on the ruby lattice

DinhDuy Vu, Dominik S. Kufel, Jack Kemp +3

Quantum spin liquids are elusive long-range entangled states. Motivated by experiments in Rydberg quantum simulators, recent excitement has centered on the possibility of dynamical…

quant-ph2025

The Richness of Bell Nonlocality: Generalized Bell Polygamy and Hyper-Polygamy

Gerard Anglès Munné, Paweł Cieśliński, Jan Wójcik +1

Non-classical quantum correlations underpin both the foundations of quantum mechanics and modern quantum technologies. Among them, Bell nonlocality is a central example. For bipart…

quant-ph2025

A Heptalemma for Quantum Mechanics

John B. DeBrota, Christian List

We present a seven-pronged no-go result for quantum mechanics: a "heptalemma". It shows that seven initially plausible theses about physical reality are jointly inconsistent with t…

quant-ph2025

Interferometric Braiding of Anyons in Chern Insulators

Felix A. Palm, Nader Mostaan, Nathan Goldman +1

Coherent control and braiding of anyons remain central challenges in realizing topologically protected quantum operations. We propose a Ramsey interferometry protocol to directly a…

quant-ph2025

Self-concordant Schrödinger operators: spectral gaps and optimization without condition numbers

Sander Gribling, Simon Apers, Harold Nieuwboer +1

Spectral gaps play a fundamental role in many areas of mathematics, computer science, and physics. In quantum mechanics, the spectral gap of Schrödinger operators has a long histor…

quant-ph2025★ 2 cited

The Magic Barrier before Thermalization

Lukas Ebner, Berndt Müller, Andreas Schäfer +3

We investigate the time dependence of anti-flatness in the entanglement spectrum, a measure for non-stabilizerness and lower bound for non-local quantum magic resource, on a subsys…

quant-ph2025

Kinetically constrained cavity QED: from blockaded ferromagnetism to long-range quantum scars

Hossein Hosseinabadi, Riccardo J. Valencia-Tortora, Aleksandr N. Mikheev +4

Rydberg-cavity systems are emerging as promising platforms for quantum simulation and quantum information processing. These hybrid architectures combine two complementary interacti…

quant-ph2025

Computational Monogamy of Entanglement and Non-Interactive Quantum Key Distribution

Alex B. Grilo, Giulio Malavolta, Michael Walter +1

Quantum key distribution (QKD) enables Alice and Bob to exchange a secret key over a public, untrusted quantum channel. Compared to classical key exchange, QKD achieves everlasting…

quant-ph2025

Circuit Partitioning for the Quantum Internet

Leo Sünkel, Thomas Gabor, Claudia Linnhoff-Popien

In a quantum internet, quantum processing units (QPUs) with varying architectures and capabilities may be connected through quantum communication channels, enabling new application…

quant-ph2025★ 3 cited

Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing

Leo Sünkel, Jonas Stein, Jonas Nüßlein +2

Scaling quantum computers, i.e., quantum processing units (QPUs) to enable the execution of large quantum circuits is a major challenge, especially for applications that should pro…

quant-ph2025★ 1 cited

Evolutionary-Based Circuit Optimization for Distributed Quantum Computing

Leo Sünkel, Jonas Stein, Gerhard Stenzel +3

In this work, we evaluate an evolutionary algorithm (EA) to optimize a given circuit in such a way that it reduces the required communication when executed in the Distributed Quant…

quant-ph2025

From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware

Daniel Hein, Simon Wiedemann, Markus Baumann +7

Quantum policy evaluation (QPE) is a reinforcement learning (RL) algorithm which is quadratically more efficient than an analogous classical Monte Carlo estimation. It makes use of…

quant-ph2025★ 1 cited

Absorbing detectors meet scattering theory

Will Cavendish, Siddhant Das

Any proposed solution to the "screen problem" in quantum mechanics -- the challenge of predicting the joint distribution of particle arrival times and impact positions -- must alig…

quant-ph2025

Phase-Sensitive Measurements on a Fermi-Hubbard Quantum Processor

Alberto R. Cavallar, Luis Escalera-Moreno, Titus Franz +4

Fermionic quantum processors are a promising platform for quantum simulation of correlated fermionic matter. In this work, we study a hardware-efficient protocol for measuring comp…

quant-ph2025

Efficient QAOA Architecture for Solving Multi-Constrained Optimization Problems

David Bucher, Daniel Porawski, Maximilian Janetschek +4

This paper proposes a novel combination of constraint encoding methods for the Quantum Approximate Optimization Ansatz (QAOA). Real-world optimization problems typically consist of…

quant-ph2025★ 3 cited

Time-Aware Qubit Assignment and Circuit Optimization for Distributed Quantum Computing

Leo Sünkel, Jonas Stein, Maximilian Zorn +2

The emerging paradigm of distributed quantum computing promises a potential solution to scaling quantum computing to currently unfeasible dimensions. While this approach itself is…

quant-ph2025★ 3 cited

Universal gates for a metastable qubit in strontium-88

Renhao Tao, Ohad Lib, Flavien Gyger +4

Metastable atomic qubits are a highly promising platform for the realization of quantum computers, owing to their scalability and the possibility of converting leakage errors to er…

quant-ph2025

Refining ensemble -representability of one-body density matrices from partial information

Julia Liebert, Anna O. Schouten, Irma Avdic +2

The -representability problem places fundamental constraints on reduced density matrices (RDMs) that originate from physical many-fermion quantum states. Motivated by recent dev…

quant-ph2025★ 2 cited

Typical Machine Learning Datasets as Low-Depth Quantum Circuits

Florian J. Kiwit, Bernhard Jobst, Andre Luckow +2

Quantum machine learning (QML) is an emerging field that investigates the capabilities of quantum computers for learning tasks. While QML models can theoretically offer advantages…

quant-ph2025★ 2 cited

IF-QAOA: A Penalty-Free Approach to Accelerating Constrained Quantum Optimization

David Bucher, Jonas Stein, Sebastian Feld +1

Traditional methods for handling (inequality) constraints in the Quantum Approximate Optimization Ansatz (QAOA) typically rely on penalty terms and slack variables, which increase…

quant-ph2025★ 3 cited

Independent e- and m-anyon confinement in the parallel field toric code on non-square lattices

Simon M. Linsel, Lode Pollet, Fabian Grusdt

Kitaev's toric code has become one of the most studied models in physics and is highly relevant to the fields of both quantum error correction and condensed matter physics. Most no…

quant-ph2025★ 15 cited

Driving electrons at needle tips strongly with quantum light

Jonas Heimerl, Andrei Rasputnyi, Jonathan Pölloth +3

Attosecond science relies on driving electrons after photoemission with the strong optical field of a laser pulse, representing an intense classical coherent state of light. Bright…

quant-ph2025★ 3 cited

Benchmarking Quantum Reinforcement Learning

Georg Kruse, Rodrigo Coelho, Andreas Rosskopf +2

Quantum Reinforcement Learning (QRL) has emerged as a promising research field, leveraging the principles of quantum mechanics to enhance the performance of reinforcement learning…