Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Generative quantum advantage for classical and quantum problems
Hsin-Yuan Huang, M. Broughton, N. Eassa +3 more·Sep 10, 2025
Recent breakthroughs in generative machine learning, powered by massive computational resources, have demonstrated unprecedented human-like capabilities. While beyond-classical quantum experiments can generate samples from classically intractable dis...
Quantum deliberating machines
Andrei Galiautdinov·Sep 9, 2025
Within the familiar circuit-based quantum computational setting, we introduce and analyze a toy model of a quantum physical device capable of internal, self-referential deliberation. The key idea is to represent ``deliberation'' as a coherent iterati...
An analysis of Wigner's friend in the framework of quantum mechanics based on the principle of typicality
Kohtaro Tadaki·Sep 9, 2025
The notion of probability plays a crucial role in quantum mechanics. It appears in quantum mechanics as the Born rule. In modern mathematics which describes quantum mechanics, however, probability theory means nothing other than measure theory, and t...
Unveiling emergent internal time from entropy exchange in a cold-atom system
Giovanni Barontini·Sep 9, 2025
We realize a cold-atom system to quantitatively test relational constructions of time. A well-isolated atomic Bose-Einstein condensate evolves in a conservative trap that is partitioned by a thin optical barrier into an observed and unobserved sector...
Universality of a standard two-qubit gate by catalytic embedding
Robin Kaarsgaard·Sep 9, 2025
We study the resources required to achieve universal quantum computing via the gate sets that provide the fundamental instructions from which quantum algorithms are built. While single-gate universal sets are known, they rely on precisely tuned irrat...
Path Integral Approach to Input-Output Theory
Aaron Daniel, Matteo Brunelli, Aashish A. Clerk +1 more·Sep 9, 2025
Input-output theory is a well-known tool in quantum optics and ubiquitous in the description of quantum systems probed by light. Owing to the generality of the setup it describes, the theory finds application in a wide variety of experiments in circu...
Carrier-Assisted Entanglement Purification
Jaemin Kim, Karthik Mohan, Sung Won Yun +1 more·Sep 9, 2025
Entanglement distillation, a fundamental building block of quantum networks, enables the purification of noisy entangled states shared among distant nodes by local operations and classical communication. Its practical realization presents several tec...
Steady state diagram of interacting fermionic atoms coupled to dissipative cavities
Luisa Tolle, Ameneh Sheikhan, Thierry Giamarchi +2 more·Sep 9, 2025
We investigate fermionic atoms subjected to an optical lattice and coupled to a high finesse optical cavity with photon losses. A transverse pump beam introduces a coupling between the atoms and the cavity field. We explore the steady state phase dia...
Near optimal quantum algorithm for estimating Shannon entropy
Myeongjin Shin, Kabgyun Jeong·Sep 9, 2025
We present a near-optimal quantum algorithm, up to logarithmic factors, for estimating the Shannon entropy in the quantum probability oracle model. Our approach combines the singular value separation algorithm with quantum amplitude amplification, fo...
Quantization of the electromagnetic fields from single atomic or molecular radiators
Valerica Raicu·Sep 9, 2025
A framework is introduced for expressing electromagnetic (EM) potentials and fields of single atomic or molecular emitters modeled as oscillating dipoles, which follows a recently proposed method for solving inhomogeneous wave equations for arbitrary...
Evolutionary-Based Circuit Optimization for Distributed Quantum Computing
Leo Sunkel, Jonas Stein, Gerhard Stenzel +3 more·Sep 9, 2025
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 Quantum Computing (DQC) paradigm. We evaluate our approach for a state prep...
Dynamic local operations and classical communication for automated entanglement manipulation
Xia Liu, Jiayi Zhao, Benchi Zhao +1 more·Sep 9, 2025
Due to the limited qubit number of quantum devices, distributed quantum computing is considered a promising pathway to overcome this constraint. In this paradigm, multiple quantum processors are interconnected to form a cohesive computational network...
Quantum Computing for Large-Scale Network Optimization: Opportunities and Challenges
Sebastian Macaluso, Giovanni Geraci, E. Combarro +4 more·Sep 9, 2025
The complexity of large-scale 6G-and-beyond networks demands innovative approaches for multi-objective optimization over vast search spaces, a task often intractable. Quantum computing (QC) emerges as a promising technology for efficient large-scale ...
Entanglement distribution modeling with quantum memories in a global and local clock system
Tasmi R. Ahmed, Fares Nada, Amber Hussain +1 more·Sep 9, 2025
We report an innovative model for predicting entanglement distribution between end parties of a quantum network using our in-house simulation algorithm. Our implementation is based on stochastic methods that are built upon a unique global and local c...
On-chip microwave sensing of quasiparticles in tantalum superconducting circuits on silicon for scalable quantum technologies
Shima Poorgholam-Khanjari, Paniz Foshat, Mingqi Zhang +3 more·Sep 9, 2025
The performance and scalability of superconducting quantum circuits are fundamentally constrained by non-equilibrium quasiparticles, which induce microwave losses that limit resonator quality factors and qubit coherence times. Understanding and mitig...
Large-Scale Efficient Molecule Geometry Optimization with Hybrid Quantum-Classical Computing.
Yajie Hao, Qiming Ding, Xiaoting Wang +1 more·Sep 9, 2025
Accurately and efficiently predicting the equilibrium geometries of large molecules remains a central challenge in quantum computational chemistry, even with hybrid quantum-classical algorithms. Two major obstacles hinder progress: the large number o...
Qubit-Efficient QUBO Formulation for Constrained Optimization Problems
Meerzhan Kantbekova, Vincenzo De Maio, Ivona Brandić·Sep 9, 2025
Quantum computing has emerged as a promising alternative for solving combinatorial optimization problems. The standard approach for encoding optimization problems on quantum processing units (QPUs) involves transforming them into their Quadratic Unco...
Improving fermionic variational quantum eigensolvers with Majorana swap networks
D. Fisher, S. Fldzhyan, D. V. Minaev +2 more·Sep 9, 2025
Simulating computationally hard fermionic systems is a promising application of quantum computing. However, mapping nonlocal fermionic operators to qubits often produces deep circuits, rendering such simulations impractical on near-term hardware. We ...
Measuring the non-Abelian Quantum Phase with the Algorithm of Quantum Phase Estimation
Seng Ghee Tan, Son-Hsien Chen, Ying-Cheng Yang +3 more·Sep 9, 2025
We propose an approach to measure the quantum phase of an electron in a non-Abelian system using the algorithm of Quantum Phase Estimation (QPE). The discrete-path systems were previously studied in the context of square or rectangular rings. Present...
Circuit-Efficient Randomized Quantum Simulation of Non-Unitary Dynamics with Observable-Driven and Symmetry-Aware Designs
Songqinghao Yang, Jin-Peng Liu·Sep 9, 2025
We introduce random-LCHS, a circuit-efficient randomized-compilation framework for simulating linear non-unitary dynamics of the form $\partial_t u(t) = -A(t) u(t) + b(t)$ built on the linear combination of Hamiltonian simulation (LCHS). We propose t...