Tootfinder

Workshopping a joke about "Quantum Regulators" doing the absolute minimum.
https://www.gov.uk/government/publications/quantum-regulators-forum-terms-of-reference/quantum-regulators-forum-terms-of-ref…

Quantum Regulators’ Forum: terms of reference

Vectorized Attention with Learnable Encoding for Quantum Transformer
Ziqing Guo, Ziwen Pan, Alex Khan, Jan Balewski
https://arxiv.org/abs/2508.18464 https://

Vectorized Attention with Learnable Encoding for Quantum Transformer
Vectorized quantum block encoding provides a way to embed classical data into Hilbert space, offering a pathway for quantum models, such as Quantum Transformers (QT), that replace classical self-attention with quantum circuit simulations to operate more efficiently. Current QTs rely on deep parameterized quantum circuits (PQCs), rendering them vulnerable to QPU noise, and thus hindering their practical performance. In this paper, we propose the Vectorized Quantum Transformer (VQT), a model that…

Tight Quantum-Security Bounds and Parameter Optimization for SPHINCS and NTRU
Ruopengyu Xu, Chenglian Liu
https://arxiv.org/abs/2508.19250 https://arxiv.o…

Tight Quantum-Security Bounds and Parameter Optimization for SPHINCS+ and NTRU
The imminent threat of quantum computing necessitates quantum-resistant cryptosystems. This paper establishes tight security bounds for two NIST PQC finalists: SPHINCS+ (hash-based) and NTRU (lattice-based). Our key contributions include: (1) A quantum attack model incorporating decoherence effects ($τ_d$) and parallelization limits; (2) Improved entropy concentration inequalities reducing SPHINCS+ parameters by 15-20\%; (3) Optimized NTRU lattice parameters via quantum lattice entropy $H_Q(Λ…

»Systeme der #Zukunft – AMD und IBM wollen Quanten- und Supercomputer vereinen:
AMD und IBM gehen eine neue Partnerschaft ein. Diesmal geht es um Hochleistungsrechensysteme der Zukunft. Diese sollen künftig herkömmliche #HPC-Plattformen mit

Systeme der Zukunft: AMD und IBM wollen Quanten- und Supercomputer vereinen
AMD und IBM gehen eine neue Partnerschaft ein. Diesmal geht es um Hochleistungsrechensysteme der Zukunft.

Run your code on real Quantum machines. Get started building a Quantum compute environment with Azure Quantum.
#Microsoft

Hybrid Quantum-Classical Branch-and-Price Method for the Vertex Coloring Problem
Chiara Vercellino, M. Yassine Naghmouchi, Wesley Coelho, Giacomo Vitali, Alberto Scionti, Paolo Viviani, Olivier Terzo, Bartolomeo Montrucchio
https://arxiv.org/abs/2508.18887

Hybrid Quantum-Classical Branch-and-Price Method for the Vertex Coloring Problem
This paper introduces Quantum Classical Branch-and-Price (QCBP), a hybrid quantum-classical algorithm for the Vertex Coloring problem on neutral-atom Quantum Processing Units (QPUs). QCBP embeds quantum computation within the classical Branch-and-Price (BP) framework to address three bottlenecks in classical BP algorithms: the computational cost of Pricing Subproblems (PSPs), branching efficiency, and the quality of primal heuristics. It uses quantum-assisted Column Generation (CG) based on Qua…

Photon catalysis for general multimode multi-photon quantum state preparation
Andrei Aralov, \'Emilie Gillet, Viet Nguyen, Andrea Cosentino, Mattia Walschaers, Massimo Frigerio
https://arxiv.org/abs/2507.19397

Photon catalysis for general multimode multi-photon quantum state preparation
Multimode multiphoton states are at the center of many photonic quantum technologies, from photonic quantum computing to quantum sensing. In this work, we derive a procedure to generate exactly, and with a controlled number of steps, any such state by using only multiport interferometers, photon number resolving detectors, photon additions, and displacements. We achieve this goal by establishing a connection between photonic quantum state engineering and the algebraic problem of symmetric tenso…

Universal Dynamics with Globally Controlled Analog Quantum Simulators
Hong-Ye Hu, Abigail McClain Gomez, Liyuan Chen, Aaron Trowbridge, Andy J. Goldschmidt, Zachary Manchester, Frederic T. Chong, Arthur Jaffe, Susanne F. Yelin
https://arxiv.org/abs/2508.19075

Universal Dynamics with Globally Controlled Analog Quantum Simulators
Analog quantum simulators with global control fields have emerged as powerful platforms for exploring complex quantum phenomena. Recent breakthroughs, such as the coherent control of thousands of atoms, highlight the growing potential for quantum applications at scale. Despite these advances, a fundamental theoretical question remains unresolved: to what extent can such systems realize universal quantum dynamics under global control? Here we establish a necessary and sufficient condition for un…

Quantum Mpemba Effect in Dissipative Spin Chains at Criticality
Zijun Wei, Mingdi Xu, Xiang-Ping Jiang, Lei Pan
https://arxiv.org/abs/2508.18906 https://ar…

Quantum Mpemba Effect in Dissipative Spin Chains at Criticality
The Quantum Mpemba Effect (QME) is the quantum counterpart of the classical Mpemba effect--a counterintuitive phenomenon in which a system initially at a higher temperature relax to thermal eauilibrium faster than one at a lower temperature. In this work, we investigate the QME in one-dimensional quantum spin chains coupled to a Markovian environment. By analyzing the full relaxation dynamics governed by the Lindblad master equation, we reveal the emergence of a strong quantum Mpemba effect at …

Quantum Algorithm for Protein Side-Chain Optimisation: Comparing Quantum to Classical Methods
Anastasia Agathangelou (IBM Quantum, IBM Research Europe - Zurich), Dilhan Manawadu (The Hartree Centre, STFC, Sci-Tech), Ivano Tavernelli (The Hartree Centre, STFC, Sci-Tech)
https://arxiv.org/abs/2507.19383

Quantum Algorithm for Protein Side-Chain Optimisation: Comparing Quantum to Classical Methods
Modelling and predicting protein configurations is crucial for advancing drug discovery, enabling the design of treatments for life-threatening diseases. A critical aspect of this challenge is rotamer optimisation - the determination of optimal side-chain conformations given a fixed protein backbone. This problem, involving the internal degrees of freedom of amino acid side-chains, significantly influences the protein's overall structure and function. In this work, we develop a resource-efficie…